A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks.

Today's advancements in wireless communication technologies have resulted in a tremendous volume of data being generated. Most of our information is part of a widespread network that connects various devices across the globe. The capabilities of electronic devices are also increasing day by day, which leads to more generation and sharing of information.

Encapsulation of Au/FeO nanoparticles into a polymer nanoarchitecture with combined near infrared-triggered chemo-photothermal therapy based on intracellular secondary protein understanding.

The combination of the functions of near infrared-triggered molecule release and chemo-photothermal therapy improved the therapeutic effect, but clarification of the cancer damage pathway in terms of protein molecule levels has yet to be well studied. In this study, we developed a polymer encapsulation synthesis of Au/FeO@polymer nanoparticles as a Swiss army knife to integrate near infrared absorption, magnetism, and doxorubicin (DOX) loading ability into a single package. By exposing to near infrared absorption, the Au/FeO@polymer nanoparticles possessed photothermal therapy, exhibiting anti-tumor growth suppression of HT-29 tumor-bearing nude mice with less body weight loss.

A Novel Auto-Sorting System for Chinese Cabbage Seeds.

This paper presents a novel machine vision-based auto-sorting system for Chinese cabbage seeds. The system comprises an inlet-outlet mechanism, machine vision hardware and software, and control system for sorting seed quality. The proposed method can estimate the shape, color, and textural features of seeds that are provided as input neurons of neural networks in order to classify seeds as "good" and "not good" (NG).

A Novel Method of Identifying Paddy Seed Varieties.

This paper presents a novel method for identifying three varieties (Taikong 9, Tainan 11, and Taikong 14) of foundation paddy seeds. Taikong 9, Tainan 11, and Taikong 14 paddy seeds are indistinguishable by inspectors during seed purity inspections. The proposed method uses image segmentation and a key point identification algorithm that can segment paddy seed images and extract seed features.

A Novel Machine Vision System for the Inspection of Micro-Spray Nozzle.

In this study, we present an application of neural network and image processing techniques for detecting the defects of an internal micro-spray nozzle. The defect regions were segmented by Canny edge detection, a randomized algorithm for detecting circles and a circle inspection (CI) algorithm. The gray level co-occurrence matrix (GLCM) was further used to evaluate the texture features of the segmented region.

The electromechanical behavior of a micro-ring driven by traveling electrostatic force.

There is no literature mentioning the electromechanical behavior of micro structures driven by traveling electrostatic forces. This article is thus the first to present the dynamics and stabilities of a micro-ring subjected to a traveling electrostatic force. The traveling electrostatic force may be induced by sequentially actuated electrodes which are arranged around the flexible micro-ring.

A flexible proximity sensor fully fabricated by inkjet printing.

A flexible proximity sensor fully fabricated by inkjet printing is proposed in this paper. The flexible proximity sensor is composed of a ZnO layer sandwiched in between a flexible aluminum sheet and a web-shaped top electrode layer. The flexible aluminum sheet serves as the bottom electrode.

A Fast Inspection of Tool Electrode and Drilling Depth in EDM Drilling by Detection Line Algorithm.

The purpose of this study was to develop a novel measurement method using a machine vision system. Besides using image processing techniques, the proposed system employs a detection line algorithm that detects the tool electrode length and drilling depth of a workpiece accurately and effectively. Different boundaries of areas on the tool electrode are defined: a baseline between base and normal areas, a ND-line between normal and drilling areas (accumulating carbon area), and a DD-line between drilling area and dielectric fluid droplet on the electrode tip.

An Auto-Recognizing System for Dice Games Using a Modified Unsupervised Grey Clustering Algorithm.

In this paper, a novel identification method based on a machine vision system is proposed to recognize the score of dice. The system employs image processing techniques, and the modified unsupervised grey clustering algorithm (MUGCA) to estimate the location of each die and identify the spot number accurately and effectively. The proposed algorithms are substituted for manual recognition.

Fabrication of a ZnO Pyroelectric Sensor.

This paper proposes a two-step radio frequency (RF) sputtering process to forma ZnO film for pyroelectric sensors. It is shown that the two-step sputtering process with alower power step followed by a higher power step can significantly improve the voltageresponsivity of the ZnO pyroelectric sensor. The improvement is attributed mainly to theformation of ZnO film with a strongly preferred orientation towards the c-axis.

Effectiveness of case management for community elderly with hypertension, diabetes mellitus, and hypercholesterolemia in Taiwan: a record review.

Objective: To identify the effectiveness of case management for community elderly with hypertension (HT), diabetes mellitus, and hypercholesterolemia (HC) (the so-called three highs).

Design And Setting: Secondary data of the first and 3-month-after visiting records were extracted from 33 Public Health Centers in Taiwan.

Participants: Seven hundred and sixty-six clients were selected who were at least 65 years old and had been diagnosed twice on the Case Management Record with at least one of the three highs.