Design and Development of a Smart Voice Reminder Device

During the COVID-19 pandemic period, an average student receives more assignments from their teachers while taking online classes. It can be challenging for these young minds to keep track of every assignment’s deadline on top of the various online classes that require their attendance and punctuality. So, to prevent the students from missing any of their online classes and assignment submission, a solution more than just a calendar’s reminder is required as many primary school students might not have access to smartphones. Hence, a voice reminder device is proposed in this paper for this purpose. Raspberry Pi 4 is used to build this device, along with a Python-based program to connect it to the Google Calendar server. The system\u27s speech recognition is done using a Python speech recognition package. The system uses the Google Cloud Speech API to translate the user\u27s speech input into a text format that the system can understand. The information required to produce the user-specified event is then extracted along with the activation word, all from the user\u27s text. The system then saves the event into Google Calendar, using the Google Credentials.json file as its destination file after extracting all the important data. The user can add, edit, or delete any previously established event using the Google Calendar from any location as long as the device is online. It can also generate a timetable through voice command. Other notable usage of this device includes keeping elderlies with Alzheimer\u27s disease on track with their important tasks like scheduled medication and medical follow-ups. The prototype managed to achieve a rather high accuracy rate of 85.6% through its speech recognition function

Spontaneous Subtle Expression Detection and Recognition based on Facial Strain

Optical strain is an extension of optical flow that is capable of quantifying subtle changes on faces and representing the minute facial motion intensities at the pixel level. This is computationally essential for the relatively new field of spontaneous micro-expression, where subtle expressions can be technically challenging to pinpoint. In this paper, we present a novel method for detecting and recognizing micro-expressions by utilizing facial optical strain magnitudes to construct optical strain features and optical strain weighted features. The two sets of features are then concatenated to form the resultant feature histogram. Experiments were performed on the CASME II and SMIC databases. We demonstrate on both databases, the usefulness of optical strain information and more importantly, that our best approaches are able to outperform the original baseline results for both detection and recognition tasks. A comparison of the proposed method with other existing spatio-temporal feature extraction approaches is also presented.Comment: 21 pages (including references), single column format, accepted to Signal Processing: Image Communication journa

Pengaruh Saat Defoliasi Batang Atas Terhadap Pertumbuhan Dan Keberhasilan Grafting Durian (Durio Zibethinus Murr.)

Perbanyakan tanaman secara vegetatif dengan teknik sambung pucuk (grafting) adalah salah satu cara untuk mempertahankan sifat unggul tanaman durian. Rendahnya persentase keberhasilan sambung pucuk merupakan permasalahan yang sering dihadapi oleh petani. Defoliasi pada batang atas adalah salah satu cara yang dapat dilakukan untuk meningkatkan keberhasilan dan laju tumbuh tanaman hasil sambungan. Penelitian ini bertujuan untuk mendapatkan saat defoliasi batang atas yang tepat untuk meningkatkan pertumbuhan dan keberhasilan grafting durian. Penelitian ini dilaksanakan di Kebun Pembibitan Asosiasi Pembibitan Hortikultura Kecamatan Wonosalam, Kabupaten Jombang, Provinsi Jawa Timur Balai Penelitian Tanaman Aneka Kacang dan Umbi, Jalan Raya Kendalpayak, Kabupaten Malang, Jawa Timur dan Laboratorium Fisiologi Tumbuhan, Kultur Jaringan dan Mikroteknik Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Brawijaya, Malang. Penelitian dilakukan pada bulan Februari hingga Juni 2015. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK) dengan faktor tunggal yaitu perbedaan saat defoliasi batang atas yang terdiri dari 5 taraf perlakuan dan diulang 3 kali, sehingga diperoleh 15 satuan percobaan. Perlakuan tersebut terdiri dari defoliasi batang atas pada hari penyambungan (0 HSS), defoliasi batang atas 3 hari sebelum sambung (3 HSS), defoliasi batang atas 6 hari sebelum sambung (6 HSS), defoliasi batang atas 9 hari sebelum sambung (9 HSS) dan defoliasi batang atas 12 hari sebelum sambung (12 HSS). Hasil penelitian menunjukkan bahwa saat defoliasi batang atas 12 HSS cenderung meningkatkan pertumbuhan tanaman durian hasil grafting. Akan tetapi, masing-masing perlakuan yang diberikan tidak meningkatkan persentase keberhasilan grafting durian

Effective recognition of facial micro-expressions with video motion magnification

Facial expression recognition has been intensively studied for decades, notably by the psychology community and more recently the pattern recognition community. What is more challenging, and the subject of more recent research, is the problem of recognizing subtle emotions exhibited by so-called micro-expressions. Recognizing a micro-expression is substantially more challenging than conventional expression recognition because these micro-expressions are only temporally exhibited in a fraction of a second and involve minute spatial changes. Until now, work in this field is at a nascent stage, with only a few existing micro-expression databases and methods. In this article, we propose a new micro-expression recognition approach based on the Eulerian motion magnification technique, which could reveal the hidden information and accentuate the subtle changes in micro-expression motion. Validation of our proposal was done on the recently proposed CASME II dataset in comparison with baseline and state-of-the-art methods. We achieve a good recognition accuracy of up to 75.30% by using leave-one-out cross validation evaluation protocol. Extensive experiments on various factors at play further demonstrate the effectiveness of our proposed approach

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Measurement of the Splitting Function in &ITpp &ITand Pb-Pb Collisions at root&ITsNN&IT=5.02 TeV

Data from heavy ion collisions suggest that the evolution of a parton shower is modified by interactions with the color charges in the dense partonic medium created in these collisions, but it is not known where in the shower evolution the modifications occur. The momentum ratio of the two leading partons, resolved as subjets, provides information about the parton shower evolution. This substructure observable, known as the splitting function, reflects the process of a parton splitting into two other partons and has been measured for jets with transverse momentum between 140 and 500 GeV, in pp and PbPb collisions at a center-of-mass energy of 5.02 TeV per nucleon pair. In central PbPb collisions, the splitting function indicates a more unbalanced momentum ratio, compared to peripheral PbPb and pp collisions.. The measurements are compared to various predictions from event generators and analytical calculations.Peer reviewe

Measurement of nuclear modification factors of gamma(1S)), gamma(2S), and gamma(3S) mesons in PbPb collisions at root s(NN)=5.02 TeV

The cross sections for ϒ(1S), ϒ(2S), and ϒ(3S) production in lead-lead (PbPb) and proton-proton (pp) collisions at √sNN = 5.02 TeV have been measured using the CMS detector at the LHC. The nuclear modification factors, RAA, derived from the PbPb-to-pp ratio of yields for each state, are studied as functions of meson rapidity and transverse momentum, as well as PbPb collision centrality. The yields of all three states are found to be significantly suppressed, and compatible with a sequential ordering of the suppression, RAA(ϒ(1S)) > RAA(ϒ(2S)) > RAA(ϒ(3S)). The suppression of ϒ(1S) is larger than that seen at √sNN = 2.76 TeV, although the two are compatible within uncertainties. The upper limit on the RAA of ϒ(3S) integrated over pT, rapidity and centrality is 0.096 at 95% confidence level, which is the strongest suppression observed for a quarkonium state in heavy ion collisions to date. © 2019 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3.Peer reviewe

Electroweak production of two jets in association with a Z boson in proton-proton collisions root s =13 TeV

A measurement of the electroweak (EW) production of two jets in association with a Z boson in proton-proton collisions at root s = 13 TeV is presented, based on data recorded in 2016 by the CMS experiment at the LHC corresponding to an integrated luminosity of 35.9 fb(-1). The measurement is performed in the lljj final state with l including electrons and muons, and the jets j corresponding to the quarks produced in the hard interaction. The measured cross section in a kinematic region defined by invariant masses m(ll) > 50 GeV, m(jj) > 120 GeV, and transverse momenta P-Tj > 25 GeV is sigma(EW) (lljj) = 534 +/- 20 (stat) fb (syst) fb, in agreement with leading-order standard model predictions. The final state is also used to perform a search for anomalous trilinear gauge couplings. No evidence is found and limits on anomalous trilinear gauge couplings associated with dimension-six operators are given in the framework of an effective field theory. The corresponding 95% confidence level intervals are -2.6 <cwww/Lambda(2) <2.6 TeV-2 and -8.4 <cw/Lambda(2) <10.1 TeV-2. The additional jet activity of events in a signal-enriched region is also studied, and the measurements are in agreement with predictions.Peer reviewe

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

Peer reviewe

Search for anomalous couplings in boosted WW/WZ -> l nu q(q)over-bar production in proton-proton collisions at root s=8TeV

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