Emotion Analysis on EEG Signal Using Machine Learning and Neural Network

Emotion has a significant influence on how one thinks and interacts with others. It serves as a link between how a person feels and the actions one takes, or it could be said that it influences one's life decisions on occasion. Since the patterns of emotions and their reflections vary from person to person, their inquiry must be based on approaches that are effective over a wide range of population regions. To extract features and enhance accuracy, emotion recognition using brain waves or EEG signals requires the implementation of efficient signal processing techniques. Various approaches to human-machine interaction technologies have been ongoing for a long time, and in recent years, researchers have had great success in automatically understanding emotion using brain signals. In our research, several emotional states were classified and tested on EEG signals collected from a well-known publicly available dataset, the DEAP Dataset, using SVM (Support Vector Machine), KNN (K-Nearest Neighbor), and an advanced neural network model, RNN (Recurrent Neural Network), trained with LSTM (Long Short Term Memory). The main purpose of this study is to improve ways to improve emotion recognition performance using brain signals. Emotions, on the other hand, can change with time. As a result, the changes in emotion over time are also examined in our research

Strategi Komunikasi Siswa dan Guru Kelas XI SMAN 2 Sangatta Utara dalam Proses Pembelajaran Bahasa Indonesia

The mastery of various foreign languages causes frequent obstacles in the delivery of messages to the speech partners. As a result, teachers and class XI students of SMAN 2 Sangatta Utara used various communication strategies to deal with these obstacles. This study aims to describe the communication strategies used by teachers and class XI students of SMAN 2 Sangatta Utara in the class of Indonesian Language lessons. This research was done by a descriptive method and qualitative approach. The data was collected in March to October 2017 from one classroom teacher and one class XI of grade student of SMAN 2 Sangatta Utara. Data retrieval was carried out during the teaching and learning activities in the classroom when the teacher is teaching the Indonesian language. This study uses skillful free listening techniques to collect data. The data analysis was used the flow technique, namely (1) data reduction, (2) data presentation, and (3) drawing conclusions. The validity test of the data is done by (1) persistence observations, (2) peer examination, and (3) triangulation. The results study included: (1) when communicating with classmates, students use various communication strategies namely imitation communication strategies, the use of certain body language according to the meaning of communication that they want to achieve, and the transfer awareness communication strategies. (2) communication strategies in the classroom are mostly carried out by the teacher when communicating with students. The communication strategy of students with teachers includes (a) paraphrase, (b) transfer awareness type, (c) asking for help type, (d) avoiding type and (e) imitating type. Penguasaan bahasa yang bermacam-macam menyebabkan sering terjadi beberapa kendala dalam penyampaian pesan kepada mitra tuturnya. Akibatnya, guru dan siswa kelas XI SMAN 2 Sangatta Utara menggunakan berbagai strategi komunikasi untuk menghadapi kendala tersebut. Penelitian ini bertujuan untuk menghasilkan deskripsi tentang strategi komunikasi yang digunakan guru dan siswa kelas XI SMAN 2 Sangatta Utara ketika proses pembelajaran bahasa Indonesia di kelas. Metode yang digunakan pada penelitian ini adalah metode deskriptif dan pendekatan kualitatif. Sumber data penelitian ini sebanyak satu orang guru kelas dan siswa kelas XI SMAN 2 Sangatta Utara. Pengambilan data dilakukan pada saat berlangsungnya KBM di kelas ketika guru sedang mengajar bahasa Indonesia dan dilakukan mulai Maret 2017 s.d. Oktober 2017. Penelitian ini menggunakan teknik simak bebas libat cakap untuk mengumpulkan data. Teknik analisis data yang digunakan adalah dengan teknik alir, yaitu: (1) reduksi data, (2) penyajian data, dan (3) penarikan simpulan/verifikasi. Uji keabsahan data dilakukan dengan (1) ketekunan pengamatan, (2) pemeriksaan teman sejawat, dan (3) triangulasi. Hasil penelitian berupa strategi: (1) Saat berkomunikasi dengan teman sekelas, siswa menggunakan berbagai strategi komunikasi, berupa strategi komunikasi peniruan, penggunaan bahasa tubuh tertentu sesuai dengan makna komunikasi yang ingin dicapainya, dan strategi komunikasi tipe kesadaran transfer. (2) Strategi komunikasi di kelas kebanyakan dilakukan oleh guru saat berkomunikasi dengan siswanya. Strategi komunikasi siswa dengan guru berupa: (a) strategi parafrase, (b) tipe kesadaran transfer, (c) tipe meminta bantuan, (d) tipe menghindar, dan (e) tipe peniruan

Nanoscale β\beta-Nuclear Magnetic Resonance Depth Imaging of Topological Insulators

Considerable evidence suggests that variations in the properties of topological insulators (TIs) at the nanoscale and at interfaces can strongly affect the physics of topological materials. Therefore, a detailed understanding of surface states and interface coupling is crucial to the search for and applications of new topological phases of matter. Currently, no methods can provide depth profiling near surfaces or at interfaces of topologically inequivalent materials. Such a method could advance the study of interactions. Herein we present a non-invasive depth-profiling technique based on $\beta$-NMR spectroscopy of radioactive $^8$Li$^+$ ions that can provide "one-dimensional imaging" in films of fixed thickness and generates nanoscale views of the electronic wavefunctions and magnetic order at topological surfaces and interfaces. By mapping the $^8$Li nuclear resonance near the surface and 10 nm deep into the bulk of pure and Cr-doped bismuth antimony telluride films, we provide signatures related to the TI properties and their topological non-trivial characteristics that affect the electron-nuclear hyperfine field, the metallic shift and magnetic order. These nanoscale variations in $\beta$-NMR parameters reflect the unconventional properties of the topological materials under study, and understanding the role of heterogeneities is expected to lead to the discovery of novel phenomena involving quantum materials.Comment: 46 pages, 12 figures in Proc. Natl. Aca. Sci. USA (2015) Published online - early editio

A control algorithm to increase the efficient operation of wind energy conversion systems under extreme wind conditions

This paper aims to increase the power production of gearless permanent magnet synchronous generator (PMSG) based wind energy conversion systems (WECS) in strong (greater than 25 m/s) wind speed regions. In general, most wind turbines cut off when wind speed is over the cut-out rate; as a result, the power generation of the wind farm decreases. This study introduces the look-up table pitch angle and rotational speed control to generate extra power in a strong wind region. Consequently, WECS can produce electric power at a reduced level until the wind speed reaches 35 m/s and the possibility of shutting down the wind turbines decreases. The proposed algorithm decreases the mechanical stress of wind turbine by decelerating rotational speed rather than turbine torque in strong wind regions. Furthermore, the model predictive control (MPC) is proposed to replace the PI controller in the inner current loop of the rotor speed control loop, thereby improving the performance of the stator current track. The proposed control method is validated in Matlab/SimPowerSystem software. The simulation result confirms that the proposed control method reduces the possibility of shutdown and guarantees temporally power production in strong wind conditions. 2022 The Author(s)This publication was made possible by Qatar University Collaborative Research grant [ QUCG-CENG-21/22-1 ] from the Qatar University. The statements made herein are solely the responsibility of the authors. The APC for this article is funded by the Qatar National Library, Doha, Qatar.Scopu

Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors

Wheat dominates the Australian grain production market and accounts for 10–15% of the world’s 100 million tonnes annual global wheat trade. Accurate wheat yield prediction is critical to satisfying local consumption and increasing exports regionally and globally to meet human food security. This paper incorporates remote satellite-based information in a wheat-growing region in South Australia to estimate the yield by integrating the kernel ridge regression (KRR) method coupled with complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and the grey wolf optimisation (GWO). The hybrid model, ‘GWO-CEEMDAN-KRR,’ employing an initial pool of 23 different satellite-based predictors, is seen to outperform all the benchmark models and all the feature selection (ant colony, atom search, and particle swarm optimisation) methods that are implemented using a set of carefully screened satellite variables and a feature decomposition or CEEMDAN approach. A suite of statistical metrics and infographics comparing the predicted and measured yield shows a model prediction error that can be reduced by ~20% by employing the proposed GWO-CEEMDAN-KRR model. With the metrics verifying the accuracy of simulations, we also show that it is possible to optimise the wheat yield to achieve agricultural profits by quantifying and including the effects of satellite variables on potential yield. With further improvements in the proposed methodology, the GWO-CEEMDAN-KRR model can be adopted in agricultural yield simulation that requires remote sensing data to establish the relationships between crop health, yield, and other productivity features to support precision agriculture

Abnormal ECG Findings in Athletes: Clinical Evaluation and Considerations.

PURPOSE OF REVIEW: Pre-participation cardiovascular evaluation with electrocardiography is normal practice for most sporting bodies. Awareness about sudden cardiac death in athletes and recognizing how screening can help identify vulnerable athletes have empowered different sporting disciplines to invest in the wellbeing of their athletes. RECENT FINDINGS: Discerning physiological electrical alterations due to athletic training from those representing cardiac pathology may be challenging. The mode of investigation of affected athletes is dependent on the electrical anomaly and the disease(s) in question. This review will highlight specific pathological ECG patterns that warrant assessment and surveillance, together with an in-depth review of the recommended algorithm for evaluation

Diabetes and stroke

The association between diabetes and stroke is well established. Recent large‐scale, international population studies suggest that diabetes is one of the most important modifiable risk factors for cerebrovascular disease. Despite this, we still have a relative paucity of evidence around the management of diabetes in stroke. The landscape is evolving and recent studies are helping establish best practice and suggesting new therapeutic opportunities. It is possible to develop a practical and clinical synthesis of the evidence around managing diabetes in adult patients with stroke and cerebrovascular disease, based on large trials, systematic reviews and guidelines, and focusing on the scenarios most often encountered in clinical practice. It is also important to recognise that there are common situations where robust evidence is lacking, but practical guidance for clinicians can be suggested

The role of off-board EV battery chargers in smart homes and smart grids: operation with renewables and energy storage systems

Concerns about climate changes and environmental air pollution are leading to the adoption of new technologies for transportation, mainly based on vehicle electrification and the interaction with smart grids, and also with the introduction of renewable energy sources (RES) accompanied by energy storage systems (ESS). For these three fundamental pillars, new power electronics technologies are emerging to transform the electrical power grid, targeting a flexible and collaborative operation. As a distinctive factor, the vehicle electrification has stimulated the presence of new technologies in terms of power management, both for smart homes and smart grids. As the title indicates, this book chapter focuses on the role of off-board EV battery chargers in terms of operation modes and contextualization for smart homes and smart grids in terms of opportunities. Based on a review of on-board and off-board EV battery charging systems (EV-BCS), this chapter focus on the off-board EV-BCS framed with RES and ESS as a dominant system in future smart homes. Contextualizing these aspects, three distinct cases are considered: (1) An ac smart home using separate power converters, according to the considered technologies; (2) A hybrid ac and dc smart home with an off-board EV-BCS interfacing RES and ESS, and with the electrical appliances plugged-in to the ac power grid; (3) A dc smart home using a unified 2 off-board EV-BCS with a single interface for the electrical power grid, and with multiple dc interfaces (RES, ESS, and electrical appliances). The results for each case are obtained in terms of efficiency and power quality, demonstrating that the off-board EV-BCS, as a unified structure for smart homes, presents better results. Besides, the off-board EV-BCS can also be used as an important asset for the smart grid, even when the EV is not plugged-in at the smart home.(undefined

Inovasi Guidance And Counseling di Kecamatan Wonoayu Sidoarjo

Penelitian ini merupakan penelitian kualitatatif, dimana data pustaka yang diambil dan diproses dengan menggunakan deskripsi-deskripsi, penjelasan buku dan lapangan, bukan menggunakan hitungan atau rumus hitungan. Berawal dari bentuk keprihatinan peneliti saat melihat kondisi riil pendidikan dan pengajaran di Madrasah-madrasah Ibtidaiyah di kecamatan Wonoayu. Banyak pengajar yang mengeluh kesulitan menangani kasus-kasus yang terjadi di lingkungan madrasah Ibtidaiyah. Hal itu, membutuhkan penangan khusus dari pihak sekolah, khususnya guru BK (Bimbingan Konseling) yang ditunjuk. Tapi kendala yang dihadapi adalah, tidak adanya lembaga yang memiliki kompetensi khusus di bidang Psikologi –Guidance dan Counseling-. Dan, sebagaimana pengamatan peneliti rata-rata tidak memiliki guru BK yang diberi tugas menyelesaikan kasus-kasus yang terjadi di madrasah Ibtidaiyah. Berdasarkan pendahuluan tersebut, peneliti merumuskan masalah, yaitu: (1). Bagaimana guru memecahkan masalah-masalahyang berkaitan dengan peserta didik?, dan (2). Bagaiman kondisi madrasah ibtidaiyah di kecamatan Wonoayu? (3)Bagaimana menerapkan teori Guidance dan Counseling bagi siswa Madrasah Ibtidaiyah se kecamatan Wonoayu ?. Hasil penelitian ini menunjukkan bahwa: (1) para guru biasanya memecahkan permasalahannya dengan ditangani langsung oleh para walikelasnya, dan mereka rata-rata tidak memiliki kualifikasi dalam bidang bimbingan dan konseling. Sehingga lebih banyak dilakukan dengan teguran, hukuman menulis maupun nasehat (2) ada 17 madrasah ibtidaiyah di kecamatan Wonoayu, dari 17 MI tersebut kondisinya bermacam-macam ada yang telah maju dengan sarana dan prasaran, guru dan siswa yang memadai serta rata-rata memililiki guru-guru yang telah tersertifikasi, terpi masih ada madrasah ibtidaiyah yang memiliki murid, sarpras yang belum memadai, kepala sekolah yang ada adalah dari pengangkatan yayasan yang menaunginya. (3) setelah dilakukan workshop inovasi guidance and counseling, ada wawasan baru cara menangani siswa dengan cara-cara yang humanis dan menuliskan apa yang mereka rasakan