Relationship among Role Stress, Emotional Labor and Physical and Mental Health for Grassroots Police Officers in Northern Taiwan Government Police Stations

Police duties involve highly complex and cumbersome tasks. Officers have to work night shifts, which may result in sleep displacement and circadian misalignment, and moreover, they must deal with the public on a daily basis. To fulfill their role as public servants and social security defenders, grassroots police officers are often under greater pressure than individuals working in general occupations are or at other administrative agencies are. Over time, the sustained pressure may have devastating impacts on their psychosomatic health. The present study, taking grassroots police officers at the police stations in the Northern Taiwan region as research subjects, aims to investigate the relationship between the role stress, emotional labor, and psychosomatic health of grassroots police officers. Through the investigation, this study seeks to contribute toward improving the physical and mental well-being of police officers. In this study, 453 valid questionnaires were recovered. The collected data were subjected to descriptive statistics, reliability and validity analysis, t-test, one-way analysis of variance, Scheffé’s test, correlation analysis, and regression analysis, among other research methods, with the use of SPSS statistics software. The findings of this study are as follows. First, role conflict in role stress has a significant effect on the psychosomatic health of police officers. Second, role stress has a significant effect on emotional labor among police officers. Third, emotional labor has a significant effect on psychosomatic health among police officers

Fast Texture Synthesis in Adaptive Wavelet Packet Trees

Wavelet packet transform known as a substantial extension of wavelet transform has drawn a lot of attention to visual applications. In this paper, we advocate using adaptive wavelet packet transformfor texture synthesis.The adaptive wavelet packet coefficients of an image are organized into hierarchical trees called adaptive wavelet packet trees, based on which an efficient algorithm has been proposed to speed up the synthesis process, from the low-frequency tree nodes representing the global characteristics of textures to the high-frequency tree nodes representing the local details. Experimental results show that the texture synthesis in the adaptive wavelet packet trees (TSIAWPT) algorithm is suitable for a variety of textures and is preferable in terms of computation time

A Rate-Distortion-Based Merging Algorithm for Compressed Image Segmentation

Original images are often compressed for the communication applications. In order to avoid the burden of decompressing computations, it is thus desirable to segment images in the compressed domain directly. This paper presents a simple ratedistortion- based scheme to segment images in the JPEG2000 domain. It is based on a binary arithmetic code table used in the JPEG2000 standard, which is available at both encoder and decoder; thus, there is no need to transmit the segmentation result. Experimental results on the Berkeley image database show that the proposed algorithm is preferable in terms of the running time and the quantitative measures: probabilistic Rand index (PRI) and boundary displacement error (BDE)

Optimization and Implementation of Scaling-Free CORDIC-Based Direct Digital Frequency Synthesizer for Body Care Area Network Systems

Coordinate rotation digital computer (CORDIC) is an efficient algorithm for computations of trigonometric functions. Scaling-free-CORDIC is one of the famous CORDIC implementations with advantages of speed and area. In this paper, a novel direct digital frequency synthesizer (DDFS) based on scaling-free CORDIC is presented. The proposed multiplier-less architecture with small ROM and pipeline data path has advantages of high data rate, high precision, high performance, and less hardware cost. The design procedure with performance and hardware analysis for optimization has also been given. It is verified by Matlab simulations and then implemented with field programmable gate array (FPGA) by Verilog. The spurious-free dynamic range (SFDR) is over 86.85 dBc, and the signal-to-noise ratio (SNR) is more than 81.12 dB. The scaling-free CORDIC-based architecture is suitable for VLSI implementations for the DDFS applications in terms of hardware cost, power consumption, SNR, and SFDR. The proposed DDFS is very suitable for medical instruments and body care area network systems

Review on Petri Net Modeling and Analysis of a Smartphone Manufacturing System

Currently, the marketing strategy in the manufacturing industry is becoming more and more competitive. The emergence of lean production aims to reduce unnecessary wastes in the manufacturing processes. In order to achieve this goal, it is necessary to optimize manufacturing processes so as to reduce their costs. Therefore, reducing manufacturing costs has become the main developing direction people are now pursuing. The iPhone XS developed by Apple is now a popular product. To this end, this paper aims to describe its manufacturing system by using Petri nets, and to integrate the Prim algorithm with a minimum spanning tree (MST) to find the minimal cost path, achieving the goal of reducing the manufacturing costs. Two simulation software tools, WoPeD and PIPE, were applied to conduct the experiments. The experimental results have significantly indicated that the proposed approach is more feasible and acceptable than others

Development and Evaluation of a Novel Investment Decision System in Cryptocurrency Market

More and more people are entering the cryptocurrency market after Bitcoin (BTC) soared to nearly USD 20,000 in 2017. To promote the development of information technology and cryptocurrency marketing, various computerized systems integrating information technology with investment and financing are innovated continuously. In this study, the daily cryptocurrency prices were input to Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM); and the developing trend plots were drawn to predict and analyze the future cryptocurrency prices through deep learning. Finally, the business practices of cryptocurrency investment were modularized based on High-Level Fuzzy Petri Nets (HLFPNs) to make a better investment decision so that all investors can use this decision system to quickly understand the future cryptocurrency trend. The experimental results have shown that this decision system can provide effective investment information to achieve investors’ personal financial goals with the expectation of improving financial situations

Histogram Modification and Wavelet Transform for High Performance Watermarking

This paper proposes a reversible watermarking technique for natural images. According to the similarity of neighbor coefficients’ values in wavelet domain, most differences between two adjacent pixels are close to zero. The histogram is built based on these difference statistics. As more peak points can be used for secret data hiding, the hiding capacity is improved compared with those conventional methods. Moreover, as the differences concentricity around zero is improved, the transparency of the host image can be increased. Experimental results and comparison show that the proposed method has both advantages in hiding capacity and transparency

Development and Evaluation of an Attendance Tracking System Using Smartphones with GPS and NFC

As usual, if many students are attending the lectures, their attendance tracking may become time consuming. Furthermore, there are some possibilities that students could cheat the lecturers of their attendance in the classroom. Therefore, a reliable method to manage the attendance tracking has become a critical issue. This paper aims to propose an attendance tracking system using an Android smartphone equipped with Global Positioning System (GPS) and Near Field Communication (NFC) technologies. Lecturers and students can constantly connect with one another by using smartphones to check and show their attendance automatically if they download and install the software Application (App). Finally, the experimental results have shown that our proposed system can successfully reduce some time for tracking students’ attendance. It also allows users to use their own Android smartphones without purchasing other electronic devices