Miracle-dz/UniFAR-FTUs huggingface dataset:
Covert Intention to Answer to Self-Referential Questions Is Represented in Alpha-Band Local and Interregional Neural Synchronies

The most fundamental and simplest intention for interpersonal communication may be the intentions to answer “yes” or “no” to a question, based on a binary decision. However, the neural mechanism of this type of intention has not been investigated in detail. The main purpose of this study was to investigate cortical processing of the “yes/no” intentions to answer self-referential questions. Multichannel electroencephalograms (EEGs) were recorded while covertly answering self-referential questions with either “yes” or “no”. Event-related spectral perturbation (ERSP) and interregional phase synchrony (PS) were investigated to identify the differences in local and global neural synchronies between two intentions. We found that the local and interregional neural synchronies in the alpha-band were significantly different between “yes” and “no,” especially at the period of retaining the intention in mind, which was greater for “no” than for “yes. ” These results can be interpreted to signify that a higher cognitive load during working memory retention or higher attentional demand is required for the “no” intention compared to “yes. ” Our findings suggest that both local and global neural synchronies in the alpha-band may be significantly differentiated during a critical temporal epoch, according to the contents of the mental representation of the intention.
Exploring player experience in ranked League of Legends

ABSTRACT While video games provide different Player Experiences (PE), some genres can provide particularly unique PEs driven by their particular features. Such is the case of MOBA (Multiplayer Online Battle Arena) games, currently led in number of players and popularity by League of Legends. In spite of this popularity, PE in MOBA games remains largely unexplored. We aim to explore this gap by presenting a PE study that focuses in League of Legends and its player base. After surveying more than 400 players in the database of the largest eSports organisation in Spain, a series of tests were run from multiple perspectives using the PENS (Player Experience of Need Satisfaction) model and the SPGQ (Social Presence in Gaming Questionnaire) as response variables. Among our findings, we show how PE differs across different levels of competence (or rank) inside the game. When looking at how team play impact PE, results show how PENS dimensions remain unaffected while empathy is driven by playing with known teammates. Role selection, on the other hand, has an arguably insignificant impact in PE. Last but not least, an invariant behavioural engagement across all dimensions shows how players perceive team collaboration as an essential factor for success.
輔助建立混合性系統之自然語言處理系統深度評估平台 — 以評估依存關係分析器為例 (The Platform providing NLP System Deep Comparative Evaluation and Auxiliary Information for Hybrid NLP System Building: Trial on Dependency Parser Evaluation) [In Chinese]

This platform includes two main concepts. One, provide multifaceted and deep evaluation for users of Natural Language Processing (NLP) System (such as Syntaxnet or CoreNLP), to help them choose the best one for their needs. Two, independently evaluate single NLP stage of a NLP system (such as pos tagging or dependency parsing), to provide needed auxiliary information for building up a hybrid NLP system (NLP system which composes multiple NLP system for different NLP stages) which is better than a normal NLP system. This paper will be explanation and demonstration centered on these two goals.
The Capacity Region of the Degraded Finite-State Broadcast Channel

We introduce and study the discrete, finite-state broadcast channel (FSBC) with memory. For this class of channels we define physical degradedness and stochastic degradedness, and demonstrate these definitions with practical communication scenarios. We then show that a superposition codebook with memory achieves the capacity region of physically degraded FSBCs. This result is subsequently used to characterize the capacity region of stochastically degraded FSBCs. In both scenarios, we consider indecomposable as well as nonindecomposable channels.
A Rank-Metric Approach to Error Control in Random Network Coding

The problem of error control in random network coding is considered, and a formulation of the problem is given in terms of rank-metric codes. This formulation allows many of the tools developed for rank-metric codes to be applied to random network coding. A random network code induces a generalized decoding problem for rank-metric codes in which the channel may supply partial information about the error in the form of erasures (knowledge of an error location not its values) and deviations (knowledge of an error value but not its location).
Migration of PLM systems to cloud

Cloud computing and cloud applications are emerging as the latest technology. Cloud applications are developing very fast and adopted by most of the firms around the globe. The cloud applications are widely accepted and considered as a notion of the digitized era, but the cloud product lifecycle management (PLM) is not adopted much in Indian firms. Cloud PLM is an upcoming cloud application, but its adoption entails various challenges. Considering this fact, the paper aims to empirically investigate the critical challenges encountered by many firms for migration to of cloud PLM. A multicriteria decision making method, grey Decision Making Trial and Evaluation Laboratory along with interpretive structural modeling are employed to identify the causal challenges and their hierarchy to cloud PLM adoption. This empirical study brings out “data security” and “trust on solution provider” as the most important and critical challenges for migration to cloud PLM adoption. The findings may act as a guide for the managers in manufacturing firms in identifying the critical challenges to utilize the benefits of cloud PLM over on‐premise PLM systems.
A Flexible Stochastic Method for Solving the MAP Problem in Topic Models

The estimation of the posterior distribution is the core problem in topic models, unfortunately it is intractable. There are approximation and sampling methods proposed to solve it. However, most of them do not have any clear theoretical guarantee of neither quality nor rate of convergence. Online Maximum a Posteriori Estimation (OPE) is another approach with concise guarantee on quality and convergence rate, in which we cast the estimation of the posterior distribution into a non-convex optimization problem. In this paper, we propose a more general and flexible version of OPE, namely Generalized Online Maximum a Posteriori Estimation (G-OPE), which not only enhances the flexibility of OPE in different real-world situations but also preserves key advantage theoretical characteristics of OPE when comparing to the state-of-the-art methods. We employ G-OPE as inference a document within large text corpora. The experimental and theoretical results show that our new approach performs better than OPE and other state-of-the-art methods.
Outage probability bound of decode and forward two‐way full‐duplex relay employing spatial modulation over cascaded α − μ channels

The system performance of mobile‐to‐mobile (D2D) cooperative communication has been improved by utilizing spatial modulation (SM) in this paper. The proposed system employs decode and forward (DF) relaying technique along with physical layer network coding (PLNC); hence, it has been named as SM‐based decode and forward two‐way relay (DFTWR). It enables full‐duplex communication thereby enhancing the system efficiency. Information bits are exchanged between the two bidirectional nodes. For two bits of information exchange, the antenna index is conveyed by the least significant bit (LSB) of the data symbol while the most significant bit (MSB) carries the message. The system performance has been investigated by analyzing certain performance metrics like lower and upper bounds of outage probability and average data rate for N‐α‐μ cascaded fading channels. The change in the system performance by varying certain parameters like relative geometrical gain, fading coefficients, and number of cascaded components has also been put forth in this paper.
Golden space-time block coded modulation

We consider a block coded modulation scheme for a 2 times 2 MIMO system over slow fading channels, where the inner code is the Golden Code. The scheme is based on a set partitioning of the Golden Code using two-sided ideals. A lower bound for the minimum determinant is given by the minimum Hamming distance. Performance simulations show that our GCRS schemes achieve a significant gain over the uncoded Golden Code.
Surface EMG Analysis of Age-related Changes in Motor Unit Firing Rates of Triceps Surae During Isometric Plantar Flexion

The triceps surae muscle group has a very important role in supporting human posture and gait and is thus particularly interesting in the context of healthy aging and independent locomotion of older people. Despite plenty of research on age-related changes in human limb muscles, the underlying mechanisms are still not completely understood and there is no common consensus on the effects of aging in triceps surae muscles and their causes. Furthermore, a few recent research papers published results that seem to contradict the previous research and open new questions about the mechanisms of muscle adaptation to aging-related changes in human body.In this study, we used the decomposition of high-density surface electromyograms to analyze motor unit firing rates in triceps surae muscles of young and older subjects during isometric plantar flexion. When compared to the young subjects, the motor unit firing rates of older subjects were significantly higher in gastrocnemii muscles and significantly lower in soleus muscle. The presented results demonstrate that the age-related changes in triceps surae are muscle specific. They also demonstrate the feasibility of using high-density surface EMG to non-invasively track age-related changes in motor unit behavior.
Heuristic optimization based choice of LQR weighting matrices for a rotary inverted pendulum

The choice of weighting matrices of the linear quadratic regulator (LQR) is one such decision which has a great effect on the dynamics of the system. There exists a nonlinear relationship between the dynamics of plant and their numerical values. Problems where such nonlinear relation exists, heuristic have served very useful to extract a better solution. In this paper, an attempt is made for the optimal choice of LQR weighting matrices using heuristic optimization techniques for a rotary inverted pendulum such that the settling time of the system is minimized.
Analysis of the Coupling Capacitance Between TSVs and Adjacent RDL Interconnections

This paper proposes an efficient method for extracting the coupling capacitance between through-silicon via (TSV) and the adjacent redistribution layer (RDL) interconnections based on the scalar potential integral equation and cylindrical accumulation mode basis functions. As the numerical integration of capacitance is very complicated, we employed an approximation based on the use of double-exponent transformation and the segmentation method to improve the calculation efficiency. The maximum deviation is less than 5%. The scalability of the proposed model is verified by performing parametric studies on different physical design parameters; the results show good agreement between the proposed model and the numerical simulation. Additionally, we studied several different structures of TSVs with and without RDLs to explain the influence of the coupling capacitance between TSVs and RDLs on crosstalk noise.
TM02 Quarter Mode Substrate-Integrated Waveguide Resonator for Dual Sensing of Chemicals

In this paper, a TM02 quarter mode substrate integrated waveguide (QMSIW) resonator is presented as a dual detection chemical sensor. The structure is designed such that it exhibits a return loss of 13 dB at 5.81 GHz and an unloaded quality factor Q. 13. Two microfluidic channels (asymmetric in nature) are loaded on two distinct high electric field regions to detect two different chemicals simultaneously. A significant difference in effective volume of the channels with respect to each other is the key driving force to observe unique resonance, irrespective of dielectric constants of chemical-loadings. Empty channels and four combinations of ethanol (E) and deionized water (DI) are alternately loaded into the channels to validate the dual detection capability of the proposed sensor.
Quality Assurance for Magnetic Resonance – guided High Intensity Focused Ultrasound at Hospital Universiti Sains Malaysia

Magnetic resonance-guided high intensity focused ultrasound (MR-HIFU) is a relatively new treatment modality in Malaysia. This minimally invasive technique of tissue heating and ablation has been a promising tool for treatment of various pathological diseases, particularly uterine fibroid. An MR-HIFU system (Philips Sonalleve MR-HIFU) has been installed at the Department of Radiology, Hospital Universiti Sains Malaysia (HUSM). A calibration and quality assurance (QA) procedure has been performed to ensure the successful operations of the system hence the safety of the patients. This article presents the process and results of the calibration and QA procedure as well as technical aspects of the MR-HIFU system.
Towards a Predictive Behavioural Model for Service Robots in Shared Environments

Service robots are increasingly applied in real life environments populated with human beings. In such a challenging scenario, the autonomous robots have to avoid collision in a “natural” way, that is to execute trajectories that a human would follow. This challenging goal can be efficiently tackled if a sufficiently descriptive human motion model is available, in order to predict future pedestrian behaviour and hence safely planning the correct route. In this paper, we move a first step towards a motion model that is able to describe to a certain extent the nonverbal negotiation of spaces in shared environments, still preserving its simplicity for ease of computation. The avoidance task is shared among the robot and the pedestrians and thus human-like trajectories can be generated. Simulations and application to actual pedestrian data are presented to validate the model.
High Voltage Optical Sensor Insulation Using PLA (Polylactic Acid)

Electric power systems, especially after the advent of smart grids, require intelligent voltage and current meters devoted to energy billing, control, protection and quality monitoring. Novel Optical Voltage Sensors (OVS) schemes have been researched to address different electricity industrial applications. In this work, a case insulator bushing (CIB) was developed to pack an electro-optical crystal-based OVS, employing lithium niobate, for the voltage class of 13.8 kV and applied to protection and energy quality monitoring. The design and implementation of this CIB, provided with high isolation and the appropriate internal flexibility to meet the dimensional tolerances of the electro-optical sensor, was produced with Polylactic Acid (PLA) by using a 3D printer.
An Optimum 2D Sparse Array Configuration with Reduced Mutual Coupling

This paper presents a novel 2D sparse array configuration which reduces mutual coupling effect. It can be realized to identify $\boldsymbol {O} \boldsymbol {O} (\boldsymbol {N} \boldsymbol {N} ^{mathbf{22}})$ uncorrelated sources for $\boldsymbol {N} \boldsymbol {N}$ physical sensors array by making difference co-array. However, the existence of the mutual coupling makes it difficult. The hourglass array can be regarded as a 2-D sparse array configuration robust to the effect of mutual coupling. We further try to reduce the effect of mutual coupling through the optimization by SA (Simulated Annealing). Performance of the proposed array is evaluated through computer simulation.
Circular Patch Filtering Antenna Design Based on Hairpin Bandpass Filter

A circular patch filtering antenna (CPFA) is presented based on the Chebyshev hairpin bandpass filter (CHBF) synthesis. The circular patch radiator connected to the last stage of the hairpin resonator using tap technique that can extract the radiation quality of the patch while the feedline connected to the first stage of the resonator using coupling technique that result in the same value between the radiation quality of the patch and the external quality of the filter. The CPFA was designed and simulated to be operated at operating frequency 4.45 GHz with 2.6% fractional bandwidth. The CPFA has also been fabricated and measured. The measurement shows a good agreement with the simulation results.
Wearable Hand Exoskeleton for Activities of Daily Living

Hand impairment due to damage in nerve endings and musculature fibers in patients with spinal cord injury and brachial plexus injury has brought upon many difficulties in performing activities of daily living (ADL). This paper presents the design of wearable hand exoskeleton to tackle the problems faced by these patients. The prototype is made of soft wearable glove that is comfortable and lightweight. It also uses Bowden cable and a cable driven mechanism to help the user to flex and extend his/her fingers. To minimize physical constraints, a 3D printed control unit, which houses the controller, DC motors, battery pack and the actuation unit, is designed to be worn around the user’s waist. This unit weights approximately 500 g, thus can be suitable for daily use. A series of experiments was conducted to examine the viability of this design and its performance in grasping objects with different shapes and sizes. The results were satisfactory. The hand exoskeleton can produce an average force of 30 N at each fingertip, resulting in a force-to-weight ratio of 0.05 N/g. Moreover, with the use of four 800 mm Bowden cables, the prototype has a reachability of approximately 750 mm while in standing position. Grasping test conducted on various objects such as water bottle, cup, apple and pen further demonstrated the capability of the proposed design for daily use.
Pull-production system in a lean supply chain: a performance analysis utilizing the simulation-based optimization

Supply chain management is a critical aspect of conducting any business. The use of Lean Supply Chain Management (LSCM) practices can aid companies manage their supply chain efficiently and competitively, helping to minimize variability and waste. Thus, to deal with these increasingly complex and highly uncertain systems, simulation-based optimization (SBO) has been a suitable tool to provide satisfactory results in a feasible time. In this context, this work compares the performance of the (SBO) for the implementation of pull-production system in a lean supply chain, with the current scenario supply chain under study, which uses push-production. The analysis showed that the SBO had significantly better results than the current scenario.
Quaternion-Based Multiscale Analysis for Feature Extraction of Hyperspectral Images

This paper proposes a new method called multiscale quaternion Weber local descriptor histogram (MQWLDH) for feature extraction of hyperspectral images (HSIs), which is used to model spatial information based on the corresponding spectral features. The proposed method first transforms spectral data into an orthogonal space using principal component analysis, and extracts the first three principal components (PCs) based on the maximum variance theory. Then, construct the MQWLDH to extract spatial features based on those first three PCs. The proposed method uses the algebraic structure of quaternions to unify the process of processing the first three PCs, which reduces the computational cost and the dimensionality of the extracted spatial feature vector. Moreover, the constructed quaternion Weber local descriptor effectively characterizes the variations of each pixel neighborhood and detects the edges of HSIs. To capture more intrinsic spatial information contained in homogeneous regions of different sizes and shapes, multiscale feature histograms are constructed. Finally, a feature fusion framework is proposed to fuse spectral and spatial features so that spectral information can be fully utilized. The experimental results on three HSI datasets demonstrate that the proposed method provides effective features to different classifiers and achieves excellent classification performance.
Real-Time 2D Microwave Differential Imaging for Temperature Monitoring

A non-invasive 2D microwave differential imaging (MDI) system for real-time temperature change monitoring is presented. The proposed MDI system operating at 925 MHz consists of a 16 channel array antenna, a cylindrical shaped imaging tank, a microwave switching matrix and a vector network analyzer. The MDI method for temperature monitoring is predicated on the changes in dielectric contrast of imaging targets with changing temperature. For reconstructed image, we use the Distorted Born Approximation (DBA) and Tikhonov regularization to solve 2D surface integral equation (SIE) and discrete linear inverse problem. The MDI system is tested on water target and a honeycomb shape phantom. Experimental results are presented to show the feasibility of the temperature monitoring inside human body for biomedical applications.
An Improved Model for Acoustic Particle Concentration - A Case Study in Piezo-Tubes

Acoustic concentration of target species inside fluidic media has gained attention as a pre-concentration step for improving the performance of several downstream applications. Majority of the existing literature on simulations of this phenomenon focuses upon a point particle assumption which states that the acoustic field responsible for concentration is unaffected by the particles treated as points in a liquid continuum. In reality, a non-zero volume occupied by the concentrating particles increasingly perturbs the local acoustic fields. This modifies the subsequent concentration process, thereby indicating a dynamic bi-directional coupling between the same and the driving acoustic fields. This paper demonstrates a novel finite element model that considers such a coupling for the first time. Acoustic concentration of latex beads inside a radially polarised piezoceramic tube filled with water is analysed as a proof of concept. By modelling the solid-liquid system as a mixture characterised by a particle volume fraction, and correlating the effective mixture properties with the acoustic fields, we show that the model is a substantial improvement over the point-particle approach. We conclude by discussing the further improvements possible in this model and potential applications where it can be implemented.
The Proximity Capacitive Gesture Recognition for Recursive Chebyshev Neural Network

paper presented the proximity capacitive sensor using recursive Chebyshev neural network (RCNN) to detect user gesture. The human interactive gesture signal analyses have been a research topic smart home fields that algorithms build in local device to recognize real time. The neural network have been used in many fields that including identification, control and classification. The features of RCNN have Chebyshev polynomials to train and map different capacitance input value. Moreover, the recursive weight record previous signal to add learn procession. Therefore, the RCNN methods to identify user gesture has satisfactory response.
A Dual Polarized Pattern Reconfigurable Antenna Array Using Liquid Crystal Phase Shifter

A dual polarized pattern reconfigurable antenna array using liquid crystal (LC) phase shifter is described, which can achieve beam steering in two planes. The linearly polarized antenna element is composed of three parts: a microstrip patch array, a LC-based microstrip meander line phase shifter and a feeding network. In order to realize dual polarized, the antenna array consisting of two linearly polarized elements placed orthogonal are designed. Simulation results show that the scanning angle of this antenna is 21°, while its operation frequency band is 28GHz.