MULTIDIMENSIONAL POVERTY MODELING IN CENTRAL JAVA, DI YOGYAKARTA, AND EAST JAVA PROVINCES by Muhammad Arkham Maulana Wibisono, Timbang Sirait

“…AD-f method approach is used to overcome data non-normality in SEM processing. The study revealed that the percentage of multidimensional poverty in the three provinces is higher than monetary poverty due to the household unit of analysis used. …”
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Statistical Characteristics Improvement of a Hardware Random Number Generator by a Software Method by M. O. Pikuza

“…This method would allow one to get a more symmetrical distribution of random numbers, as well as increase the speed of their generation. After processing, the data from the generator under study have better statistical characteristics, which is confirmed by the NIST and Diehard tests, and the generation rate has also increased by more than 5 times. …”
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Application of multi-beam line model based on computational geometry by Yuting Zhang, Zaibin Chang, Yaqin Qiao, Wenjuan Liu

“…Python programming is used to automate and simulate data processing, significantly improving both its efficiency and accuracy. …”
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Enzyme Reactor Engineering by Irving J. Dunn

“…Such two-phase catalytic systems are often influenced by mass diffusion rates. Chemical engineering principles can be applied to understand and quantitatively estimate the influence of process variables on diffusion rates. …”
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Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression by Andrew G. Nicoll, Juraj Szavits-Nossan, Martin R. Evans, Ramon Grima

“…However, we show that for many minutes following induction, eukaryotic cells show an increase in the mean mRNA count that obeys a power law whose exponent equals the sum of the number of states visited from the initial inactive to the active state and the number of rate-limiting post-transcriptional processing steps. …”
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A Radio Frequency System for Smart Attendance in Schools by Akeem Abimbola Raji, JOSEPH FOLORUNSO ORIMOLADE, IBRAHIM OLUWASEUN ADEBISI

“…It is found that a good number of the students rate the ease of use, functionality, friendliness in the user interface and speed of data transfer excellent while more than average of the students rate the efficiency of the system good. …”
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Helmet-Mounted Display System Based on IoT by Ahmed Eldeib

“…So, in the implementation of our proposal, we made several systems connected with Raspberry Pi 4 which are Global Positioning System (GPS) applications, camera systems, and sensors that display all output data in the background, after that will transmit all these data from Raspberry Pi 4 to Raspberry Pi 3 through User Datagram Protocol (UDP), which Raspberry Pi 3 connected with Digital Light Processing )DLP) projector to display all background data as a hologram to the user giving him safety on the road without any distractions.…”
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Ways of improvement of technological equipment performance by M. B. Smirnov, G. B. Abdilova

“…The types of losses are classified as follows: downtime and readjustment (availability or readiness for operation) of equipment, short-term shutdown of equipment and a decrease in processing speed (productivity or performance rate of the equipment), product rejects and product losses (quality losses) during startup of equipment. …”
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Design of SIMO <italic>M</italic>-QAM System for Ultrasonic Communications on Shallow Waters by Unai Fernandez-Plazaola, Francisco J. Canete, Eduardo Martos-Naya, Luis Diez

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Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…The proposed approach has been successfully evaluated in predicting real daily reported incidences in distribution lines across two Spanish provinces, Valencia and Albacete, achieving an accurate prediction of days with extreme incidences while maintaining a good overall performance and a low rate of false alarms. The top-performing models using this methodology achieve detection rates of 38% and 73%, with false alarm rates of 1% and 3%, respectively. …”
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Physical Education: corporal and functional composition profile of Klabin’s employees and their dependents, at <em>CURIÚVA</em> forest sector, state of <em>PARANÁ</em> by Celso Souza, Cibele T. Santos, Darlei Landi, Karen Cristina Chicati

“…Anamnesis record, aneroid sphygmomanometer to verify arterial pressure at rest and immediately after the 1,600m course, measurement of corporal composition, heart rate at rest and at exertion, maximal VO2, data processing in SAPAF 4.0 software, reports and prescriptions were the measurement instruments. …”
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A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance by Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu

“…Conventional methods frequently have significant false detection rates, which restricts their use. This paper proposes a unique framework to improve anomaly classification by combining improved preprocessing, feature extraction, optimization methods, and Remote Field-Based (RFB) video sensors. …”
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Effect of exogenous Brassinolide on improving fruit quality and reducing fruit cracking in Junzao jujube by YANG Cheng, WANG Zhenlei, ZHANG Chuanjiang, LIU Wei, WU Cuiyun, LIN Minjuan

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THE IMPORTANCE OF PRODUCTION AND IMPORT FOR ENSURING FOOD AVAILABILITY IN ROMANIA by Agatha POPESCU

“…Dynamic analysis, mean, growth rate in 2020 versus 2015, comparisons were the main tools used for data processing. …”
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Delay–Doppler Block Division Multiplexing: An Integrated Navigation and Communication Waveform for LEO PNT by Dong Fu, Honglei Lin, Yinan Meng, Jing Peng, Gang Ou, Shaojing Wang

“…Navigation and communication signals in DDBDM can be separated in the frequency band, which allows the user to receive only the bandwidth occupied by the navigation subcarriers, reducing the signal processing overhead. Moreover, data transmission in the DD domain exhibits a low bit error rate in high-mobility channels, which enables fast and reliable navigation augmentation information for users. …”
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Design and Implementation of a Lightweight and Energy-Efficient Semantic Segmentation Accelerator for Embedded Platforms by Hui Li, Jinyi Li, Bowen Li, Zhengqian Miao, Shengli Lu

“…In addition, we optimize the computational units of transposed convolution and dilated convolution and improve the on-chip data storage and data transfer design. The optimized system achieves a frame rate of 130.75 FPS, which meets the real-time processing requirements in areas such as autonomous driving and medical imaging. …”
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Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN by Syed Waqad Ali, Muhammad Munaf Rashid, Muhammad Uzair Yousuf, Sarmad Shams, Muhammad Asif, Muhammad Rehan, Ikram Din Ujjan

“…The ICBHI 2017 Breathing Sound Database, which contains samples of different breathing sounds, was used in this research. During pre-processing, audio clips were resampled to a uniform rate, and breathing cycles were segmented into individual instances of the lung sound. …”
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Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images by Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG

“…ObjectiveTo address the issues of low efficiency and inaccurate ship behavior recognition when handling large-scale ship trajectory data, this paper proposes a method for recognizing and classifying ship behaviour based on trajectory feature image modelling and deep learning.MethodA visual coding model is constructed for the salient features, including speed, acceleration, heading, steering rate, and trajectory point density. …”
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No significant relationship found between spontaneous motor tempo, heartbeat, and individual alpha frequency: an analysis of internal tempos by Tamaka Harada, Giovanna Mioni, Nicola Cellini, Yuko Yotsumoto

“…Specifically, Spontaneous Motor Tempo (SMT), the most comfortable and natural tapping tempo for each individual, is thought to reflect this internal pacemaker’s tempo. Changes in heart rate are also linked to time estimation, while Individual Alpha Frequency (IAF), the peak in the alpha range (8–13 Hz) observed in EEG, is reported to reflect the brain’s temporal processing. …”
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Load forecasting based on knowledge flow and transfer learning by Wenjun ZHU, Sining WANG, Xiaoxin GAO, Qian ZHENG

“…In all things connected, comprehensive perception, intelligent decision-making information era of big data, in the information acquisition of big data and a large amount of signal processing, there are still large amount of data redundancy, calculation and the shortcoming of high cost, not in time, and no marked.The transfer learning was applied, and the knowledge flow system based on the weight impact factor for information fusion was integrated to assist the analysis and simplify the calculation for the IoT sensing system.The knowledge flow mode of transfer learning and data fusion was adopted in the IoT sensing system, and the simulation calculation of short-term load prediction was made based on the partial data of regional power consumption.The influencing factors of users’ electricity consumption behavior were analyzed, and the optimal weight distribution of influencing factors was obtained through training, so as to predict the power consumption rate.The results show that in this way, it can clearly identify the characteristics of electricity consumption behavior, and predict the energy consumption according to the characteristics of electricity consumption.…”
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