A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Achine Interface

The human–machine interface plays an important role in the diversified interactions between humans and machines, especially by swaping information exchange between human and machine operations. Considering the high wearable compatibility and self-powered capability, triboelectric-based interfaces have attracted increasing attention. Herein, this work developed a minimalist and stable interacting patch with the function of sensing and robot controlling based on triboelectric nanogenerator. This robust and wearable patch is composed of several flexible materials, namely polytetrafluoroethylene (PTFE), nylon, hydrogels electrode, and silicone rubber substrate. A signal-processing circuit was used in this patch to convert the sensor signal into a more stable signal (the deviation within 0.1 V), which provides a more effective method for sensing and robot control in a wireless way. Thus, the device can be used to control the movement of robots in real-time and exhibits a good stable performance. A specific algorithm was used in this patch to convert the 1D serial number into a 2D coordinate system, so that the click of the finger can be converted into a sliding track, so as to achieve the trajectory generation of a robot in a wireless way. It is believed that the device-based human–machine interaction with minimalist design has great potential in applications for contact perception, 2D control, robotics, and wearable electronics.

Design, Implementation and Validation of a Bluetooth 5 Real-Time Monitoring System for Large Indoor Environments

The progress of LPWAN technologies in recent years has increased their use in various types of environments as well as increased the applications in which they are used. However, due to the duty cycle limitations of license-free based technologies, they have a considerable limitation for applications with frequent data transmission or real-time data. In this regard, technologies working in the 2.4 GHz band are a compelling option to consider but their main problem concerns their limited range. Fortunately, the new Bluetooth 5 standard has a new feature (Long Range mode) that is especially useful in long distance or large indoor environments. This paper describes a practical study on this new technology for indoor environments. The performed experiments evaluate reception range, communications quality, channel occupancy, response times, and power consumption. The obtained results indicate that a three-floor building of more than 4200 m2 may be covered with a stable signal with only two Bluetooth 5 nodes.

Pemilihan Platform Media Pembelajaran Online Pada Masa New Normal

Abstrak: Teknologi sangat berperan penting untuk mendukung sebuah pendidikan yang mampu mempercepat pemahaman. di era digiatal ini semua kegiatan/Aktiviatas menggunakan teknologi, hal itu terlihat dari perkembangan industri 4.0 memudahkan kita untuk mengakses segala informasi yang kita butuhkan, terutama didunia pendidikan. digitalisasi pendidikan yang dilakukan di Indonesia dengan mengembangkan pembelajaran online (daring). mengamati pembelajaran online membuat segala sesuatu serba cepat dan mudah diakses dimana pun. perlu dilakuakan penelitian platform media pembelajaran apa yang efektif, dan mampu mengakomodasi semua mahasiswa dalam pembelajaran online di masa New Normal. Metode penelitian menggunakan metode penelitian kualitatif yang didukung dengan pengambilan data survey dan melakukan analisis deskriptif kualitatif terhadap data dan informasi yang telah diperoleh dengan survey maupun sumber-sumber lain. Hasil yang diperoleh untuk pemilihan platform pembelajaran online meliputi : 1) pemilihan platform menggunakan WhatsApp dilihat sebesar terlihat dari hasil suvey sebesar 46,4% Lebih memilih karena Apliaksi mudah diakses, respon cepat dan hemat kuota. namun kekurangan aplikasi ini tidak bisa melakuka conference/meeting secara banyak (hanya dibatasi 8 Orang); 2) Pembelajaran Daring secara langsung (Live) menggunakan Line, hal tersebut terlihat dari survey sebesar 44,3 % memilih, karena ketika pembelajaran secara langsung sinyal yang stabil, kapasitas untuk melakukan meeting yang tersedia lebih dari 100 orang dan tidak berbayar. Abstract: Technology plays an important role in supporting an education that can accelerate understanding. In this digiatal era, all activities / activities use technology, this can be seen from the development of industry 4.0 making it easier for us to access all the information we need, especially in the world of education. digitalization of education carried out in Indonesia by developing online learning (online). observing online learning makes things fast paced and easily accessible anywhere. It is necessary to do research on what learning media platforms are effective and able to accommodate all students in online learning during the New Normal period. The research method uses qualitative research methods that are supported by taking survey data and conducting qualitative descriptive analysis of the data and information that has been obtained through surveys and other sources. The results obtained for the selection of an online learning platform include: 1) choosing a platform using WhatsApp as seen from the survey results of 46.4% Prefer because the application is easy to access, quick response and saves quotas. but the shortcomings of this application are not able to do a lot of conference / meeting (only limited to 8 people); 2) Direct online learning (Live) using Line, this can be seen from a survey of 44.3% choosing, because when direct learning has a stable signal, the capacity to conduct meetings is available for more than 100 people and is free of charge.

THE USE OF ICT IN ENGLISH TEACHING AT SMK (VOCATIONAL HIGH SCHOOL) REGENCY OF NGAWI DURING COVID-19 PANDEMIC

The objective of this research is to find out the English teaching during covid-19 pandemic. Due to the COVID-19 outbreak, all institutions of education in Indonesia held the teaching and learning from home as a way to reduce the outbreak the virus spread. The ministry of education has a partnership with some providers (online class) where teachers and students can utilize it as media freely, on the other hand, Teachers preferred to employ WhatsApp (WA) in conducting the class. Not all students have enough access to gain the facilities, such as the cost for buying internet data, mobile phone, and the reachable and stable signal for internet. Teachers and students may require eligible infrastructures to run the class properly.

Physiological fractals: Visual and statistical evidence across timescales and experimental states

A marker of engaging in compassion meditation and related processes is an increase in heart-rate variability (HRV), typically interpreted as a marker of parasympathetic nervous response. Whilst insightful, open questions remain. For example, which timescale is best to examine the effects of meditation and related practices on HRV? Furthermore, how might advanced time series analyses – such as stationarity – be able to examine dynamic changes in the mean and variance of the HRV signal across time? Here we apply such methods to previously published data, which measured HRV pre- and post- a two-week compassionate mind training (CMT) intervention. Inspection of these data reveal that a visualization of HRV correlations across resting and compassion meditation states, pre- and post- two-week training, is retained across numerous recording timescales. Here, the fractal-like nature of our data indicate that the accuracy of representing HRV data can exist across timescales, albeit with greater or lesser granularity. Interestingly, inspection of the HRV signal at Time 2 compassion meditation versus Time 1 revealed a more highly correlated (i.e., potentially more stable) signal. We followed up these results with tests of stationarity, which revealed Time 2 had a less stochastic (variable) signal than Time 1, and a measure of distance in the time series, which showed that Time 2 had less of an average difference between rest and meditation than at Time 1. Our results provide novel assessment of visual and statistical markers of HRV change across distinct experimental states.

Enhanced Colorimetric Signal for Accurate Signal Detection in Paper-Based Biosensors

Paper-based colorimetric biosensors combine the use of paper with colorimetric signal detection. However, they usually demonstrate lower sensitivities because a signal amplification procedure has not been used. Stopping the reaction of colorimetric signal generation is often used in lab-based assays in order to amplify and stabilize the colorimetric signal for detection. In this study, the generation of a stopped colorimetric signal was examined for accurate and enhanced signal detection in paper-based biosensors. The colorimetric reaction in biosensors is usually based on the interaction between the enzyme horseradish peroxidase (HRP) and a selected chromogenic substrate. The two most commonly used HRP substrates, 3,3’,5,5’-tetramethylbenzidine (TMB) and 2’-azinobis (3-ethylbenzothiazoline-6-sulfonic-acid) (ABTS), were compared in terms of their ability to generate a stopped colorimetric signal on membrane. The stopped colorimetric signal was visible for TMB but not for ABTS. Moreover, the generation of stopped colorimetric signal was dependent on the presence of polyvinylidene-difluoride (PVDF) membrane as the separation layer. With PVDF the colorimetric signal (color intensity) was higher (TMB: 126 ± 6 and ABTS: 121 ± 9) in comparison to without PVDF (TMB: 110 ± 2 and ABTS: 102 ± 4). The TMB stopped colorimetric signal demonstrated a more stable signal detection with lower standard deviation values. To conclude, a stopped colorimetric signal can be generated in paper-based biosensors for enhanced and accurate signal detection.

Probability-Based Indoor Positioning Algorithm Using iBeacons

High-precision indoor positioning is important for modern society. This paper proposes a way to achieve high positioning accuracy and obtain a trajectory close to the actual path in a common application scenario by smartphone without the use of a complicated algorithm. In the actual positioning process, a stable signal source can reduce the signal interference caused by environments. Bluetooth low energy has its own advantages in indoor positioning because it can be seen as a more stable signal source. In this study, we used smartphones to record the changing Bluetooth signals and used a basic nearest neighbor, weight centroid, and probability-based method, which we called an advanced weighted centroid method, to obtain position coordinates and the motion trajectory during the experiment. We used a weight centroid method based on least squares to solve the overdetermined problem. This can also be used to calculate the initial position of the advanced weight centroid. The advanced weighted centroid method introduced a Gaussian distribution to model the distribution of the signal. Translating a deterministic problem into a fuzzy probability problem aligns more with positioning facts and can achieve better results. Experimental results showed that the root-mean-square error (RMSE) of the dynamic positioning result obtained through the probabilistic method was within 1 m and had a more consistent trajectory. Moreover, the impact of the number of iBeacons on the positioning accuracy has been discussed, and a reference for iBeacon placement has been provided. In addition, an experiment was also conducted on the effect of signal transmission frequency on accuracy.