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On-line fault diagnosis of motor using deep learning based on envelope
With the development of artificial intelligence, the diagnosis of motor faults has been widely studied. This paper proposes a novel signal preprocessing method and a new neural network architecture, which enable the motor fault diagnosis under different load conditions, a wide range of motor speeds, and even with eccentricity in the coupling of the loaded motor. The diagnosis includes healthy motors, motors with abnormal sounds from the front bearings, and motors with damaged magnets.
In this experiment, the current signal of the motor is collected and transformed into nine scales using discrete wavelet transform. The noise in the two higher frequency scales is then filtered out, and the envelope is calculated using the Hilbert transform method. This envelope is used as the input signal for deep learning training of the neural network. Unlike the typical one-dimensional convolutional neural network, a novel deep learning neural network architecture is built using different feature extraction modules, which greatly reduces the number of parameters used, effectively prevents overfitting during training, and achieves good accuracy in a shorter training time.
Finally, this study compares its experimental results with different signal preprocessing methods, feature extraction modules, and neural network architectures, and achieves good results in all cases. The proposed method is also implemented for online motor fault diagnosis
Conjugated Microporous Polymers for Photocatalytic Hydrogen Evolution from Water
\ue3\ue3Conjugated microporous polymers (CMPs) are organic porous polymers that have been the best candidates for photocatalytic hydrogen production. In the first part of the study, we used sulfur doping to improve the low stability problem. We synthesized three pyrene-based CMPs (Py-thio-Py, Py-thio-Eth, Py-thio-BF CMPs) by Suzuki-Miyaura cross-coupling, respectively. The CMPs were milled into nanosheet polymers, and the altered patterns of the samples were confirmed by SEM, TEM, and AFM. These methods improved the light absorbance, thermal stability, and charge transfer efficiency, which could enhance the hydrogen rate of the photocatalyst.
\ue3\ue3In the second part of the experiment, we investigated the effect of molecular structure on the photocatalytic activity of CMPs and found that the photocatalytic performance of D-\ucf-A polymers was superior to that of D-A polymers. Through Suzuki-Miyaura cross-coupling synthesis of different ratios for TPA-ths 1:2/1:4, it was found that the donor-acceptor ratio significantly affected the photocatalytic activity of CMPs. This approach increased the conjugation length and reduced the band gap of the polymers, and also raised the charge mobility, which facilitated the performance of the photocatalytic hydrogen production experiments.
\ue3\ue3Then, we characterized the chemical structure, surface morphology, thermal stability, and crystallinity of these CMPs. The optical and electrochemical analyses and the photocatalytic hydrogen production experiments showed that the sample morphology, specific surface area, thermal stability, donor-acceptor ratio, conjugate length, band gap, etc. have significant effects on the photocatalytic hydrogen evolution rate
Exploring the Integration of Organizational Culture from the Ambicultural Perspective:Taking Y Company's Cross-border M&A Process as An Example
Passive components have a unique position in the electronics industry chain. Over the two decades in the past, the growth strategy not only by continuous self-expansion, but mergers and acquisitions, strategic alliances, have been very common; however, cases of unsuccessful mergers and acquisitions, or even failures, have emerged in endlessly.
Through participant observation, in-depth interviews and literature review, this research finds that the strategy of integrating organizational resources and culture after mergers and acquisitions is the core of the success of mergers and acquisitions.
Company Y's corporate growth strategy is to actively acquire related horizontal and vertical industries at home and abroad, and then continue to expand on its own; while in 2000, it acquired Company P, which has excellent organizational quality, resource integrity, and competitiveness. From the analysis of the five forces, etc. from a theoretical point of view, there should be no doubt that the organization's operating performance is expected to grow at a high rate. However, in reality, there is a phenomenon of brain drain and operating performance falling into a low ebb. This study also found that in the recent case of Company Y merging Company K, the difference between its organizational type and that of Company P resulted in completely different results in organizational culture integration and operational performance.
In sum, literature on M&A growth strategy research focuses on the complementarity between the core organizational capabilities and tangible resources of both parties. However, the perspectives of ambicultural integration and dynamic competition provid
Dibenzo[g,p]chrysene-based Conjugated Microporous Polymers with Their Potential Applications
Conjugated microporous polymers (CMPs) have highly accessible potential as organic porous materials in the field of environmental protection. In this study, a variety of CMPs were synthesized through Sonogashira cross-coupling reaction, and their chemical configurations, morphologies, physical properties, and potential applications were subsequently analyzed. The first section of this study describes BST-based CMPs crosslinked with BST-Br2, Py-T, and DBC-T. Porous polymers with extended \ucf-conjugated backbones are suitable as organic electroactive materials for physical CO2 adsorption or as electrode substances for supercapacitors. DBC-BST-CMP exhibits a CO2 capture capacity of 1.59 mmol g-1 at room temperature and achieves a longer discharge time under a three-electrode system. Its specific capacitance of 69 F g-1 indicates good electrochemical properties. Besides, the electrode has an outstanding capacitance retention rate (99.9%) in the stability test.
In the second section of this study, DBC-based CMPs were prepared from the monomers DBC-T, BT-Br2, DBC-Br4, and TPA-Br3. When the material is applied to capture carbon dioxide, DBC-BT-CMP exhibits an absorption of 1.25 mmol g-1 at room temperature; when used as a working electrode of a supercapacitor, the electrochemical performance shows that DBC-BT-CMP possesses 130 F g-1 has the highest capacitance value and has a brilliant capacitance retention rate of 98.2% under the cycle stability test; in hydrogen evolution, DBC-TPA-CMP as a photocatalyst displays the highest hydrogen production capacity of 9800 \uce\ubcmol g-1 h-1
Transformation Process and Future Prospects of Meat Processing Plants: A Case Study of Company A
Chicken is one of the oldest meats in human history. The origin of chicken can be traced back to over 5,000 years ago in China. According to historical records, the earliest domesticated birds were chickens and ducks, which were used as food and livestock in ancient China.
The origin of Taiwan's chicken industry can be traced back to the Qing Dynasty. During the Japanese colonial period, the chicken industry entered the modernization phase. After World War II, the Taiwanese government introduced breeding technologies and new chicken breeds from the United States and Europe, and promoted intensive farming methods, which led to rapid development of the chicken industry. Since the 1990s, the variety of white chicken breeds has gradually diversified, and new breeds are more suitable for large-scale industrial farming. Taiwan's chicken industry has gradually entered a phase of large-scale and standardized development.
With the rise of the food processing industry, the demand for chicken meat has gradually increased. However, Taiwan's chicken production is limited and cannot meet the domestic market demand. Sometimes, imported chicken can offer more favorable prices than domestically produced chicken. Therefore, imported chicken has begun to occupy a place in the Taiwan meat market.
This study will take Company A as an example, using Five Forces Analysis and SWOT Analysis to explore the methods and success factors of Company A's two transformations during the era of change. And the study results show that the success factors stem from familiarity with the industry and clear operational goals. Lessons will be drawn from this to apply to the future development of the company
An Exploration of Audit Innovation in the Era of Dramatic Changes
The advent of the era of globalization, technology, differentiation, sub-replacement fertility and environmental fluctuations internally and externally, the CPA firms, whose mainly engages in the audit work, face severe challenges. Only through audit innovation, the CPA firms may be possible to overcome the challenge and maintain competitive advantage.
Take one of the globalize CPA firm for example, this study explore the way of audit innovations, including digitize innovation tools, cross-functions cooperation among specialist and audit support. Innovation tools integrate big data analysis, artificial intelligence, internet of things(IoT), block chains, cloud computing and robotic process automation and replace manual operations, which improve work efficiency and the accuracy of data analysis.
Meanwhile, It also assist the auditors to identify abnormal indicators and potential risks through implementing audit procedures and focus on risk-based audit. Cross-functions cooperation elevate the audit quality and professional judgments, which boost audit clients\ue2 satisfaction and more comprehensive service can be provided to the audit clients.
Audit support solves the sub-replacement fertility problem. With portions of high repetitive and less value-adds works transferring to the audit delivery center, the auditors improve the learning curves, elevate the work efficiency, and reduce auditors\ue2 overtime hours and improve personnel costs.
In summary, the research found that audit innovations bring out the new issues, including the security of audit innovation tools, data retention, backup integrity, and the ability of auditors to perform technical operations. Regulations and guidelines enacted by the regulators are not fully regulated the use of auditing innovation tools and lacking of digitization in the audit clients. I am looking forward the research results can be emphasized and take measures by the authority concerned, which boost the audit innovations development more smoothly
Rapid identification and antimicrobial susceptibility testing on positive blood cultures with MALDI-TOF MS
The current workflow adopted in medical microbiology laboratories for diagnosing bloodstream infection (BSI) includes identifying positive bacterial growth from the samples of blood culture first. This step is followed by an approximate 24-hour (h) incubation period to determine the specific bacteria involved. Subsequently, an additional 24 h is required to obtain the results of antimicrobial susceptibility tests (AST). Unfortunately, this time-consuming process caused delayed administration of targeted antibiotics for patients suspected of having BSI. To solve this problem, clinicians often resort to prescribing broad-spectrum empiric antibiotics while awaiting the microbiology test results. However, this approach runs the risk of promoting antimicrobial resistance. Therefore, this study aimed to develop the short-term incubation (STI) protocol combined with matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) that can be readily applied in clinical settings to enable rapid detection of bloodstream pathogens. We further evaluated the impact of STI protocol on clinical outcomes of BSI patients. The study collected 188 blood culture bottles from November 2019 to August 2020. By reducing the incubation time for gram-positive (GP) samples to 4.5 h and gram-negative (GN) samples to 3.5 h, as opposed to the standard 24-h incubation, the study obtained identification accuracy of 96.1% for GN samples and 97.4% for GP samples. Samples subjected to short-term incubation were directly analyzed using the BD Phoenix\ue2\ua2 M50 AST without any intermediate steps or processes. When compared to the AST disk diffusion method, the category agreements (CA) for different types of samples were as follows: 91.8% for gram-positive bacteria excluding Streptococcus spp., 97.5% for Streptococcus spp., and 92.7% for gram-negative bacteria. The turnaround time (TAT) for pathogen identification and AST notably decreased following the implementation of the STI protocol (2.2 vs. 1.4 d and 3.4 vs. 2.5 d, respectively with both p < 0.001). Moreover, implementation of the STI protocol resulted in a reduction in the length of hospital stay (LOS) for patients with gram-negative bacteria (GNB) infected bloodstream infections (BSIs), with a decrease from 31.9 days to 27.1 days (p < 0.01). This finding suggests that patients could be discharged approximately 5 days earlier following the implementation of the STI protocol. The STI protocol reduced the length of hospital stay, and other clinical outcomes, including the 30-d all-cause mortality rate, 14-d all-cause readmission rate, and the length of ICU stay decreased in the STI group although no significant difference were detected
Development of a web server for safety and functional analysis of probiotics using whole genome sequences
Probiotics are live microorganisms that when administered in adequate amounts confer a health benefit to the host. As functional foods, probiotic use has been greatly popularized among the public, the safety and functionality of probiotics can bring health to the human body is a crucial matter. With the increasing importance of next-generation sequencing, genomics is becoming a key approach for investigating the safety and functionality of probiotic foods and feed. Currently, there are no platforms available for evaluating probiotic strain safety, investigating probiotic functionality, or building phylogenetically related strains. In our study, we developed a web server for the safety and functional analysis of probiotics using whole genome sequences (https://probiomindb.imst.nsysu.edu.tw/), including that concerning safety (e.g., antimicrobial resistance, virulence, pathogenic, plasmid, prophage gene) and functionality (e.g., functional classes, enzyme activity, carbohydrate enzyme activity, and metabolites).
The web server can accept whole-genome sequence files in FASTA format. This method uses core-genome multilocus sequence typing based on genomic context similarity for querying 25 common probiotic species belonging to 11 genera. The results include (I) genome identification, (II) safety analysis, (III) functional analysis, (IV) search results for phylogenetically related strains, and (V) results of core genome analysis. All of the above are presented in visual and graphical formats, and the phylogenetically related trees are available for download in Newick and PDF formats. In addition, the platform establishes an internal probiotic database, presents the analysis results in a tabular form, and lists a strain summary of a specific species on each probiotic page. The front-end framework of the website uses Bootstrap for responsive design and JavaScript for interactive web pages, while the back-end is implemented in PHP, Perl, and Python to analyze the data of the relevant probiotic strains. We believe this web server can help researchers quickly and easily retrieve safety and functionality information during the probiotic development process
Understanding the Key Determinants of US Investmentors\ue2 Purchasing Decision on Rental Real Estate
In recent years, the issue of housing in the United States has become an important topic for government governance. High housing prices make it difficult for many people to afford homes, and with the changing demographics, the proportion of small families is constantly increasing, thus creating a huge opportunity in the rental market. Since the financial crisis, US bank interest rates have remained low, attracting excess capital to enter the investment market. Therefore, more and more people are investing in rental properties to meet the demand for rental housing and obtain stable rental income, while also expecting to earn price differentials and tax incentives through the sale of real estate.
To investigate the key factors that affect investors' decisions to purchase rental properties, the study identified six dimensions and 29 key factors through a literature review. Then, experienced real estate experts were surveyed using the AHP hierarchical analysis method to investigate the most important dimensions for investors, which were found to be profitability and risk, government policies, capital costs, home safety, surrounding environment, and housing conditions. The top six key factors were found to be housing policies, regulations and tax systems, rental return rates, rental difficulty, personal privacy, and housing costs. In addition, the study also found that investors pay special attention to government real estate policies and regulatory tax systems when purchasing properties, followed by focusing on the risks and returns after investment, rental difficulty, and the costs of investment in relation to the expected return. It was also found that renters value personal privacy
Investigating the Impact of CEO Paradoxical Leadership Behavior on Innovativeness in Digital Transformation
With the advancement of technology, companies are universally engaging in digital transformation to address the challenges of the post-pandemic era and achieve sustainable development. Digital transformation has become an indispensable process for every company. Small and medium-sized enterprises in Taiwan are also actively investing in digital transformation to maintain competitiveness. However, transformation is not an easy task, and many companies encounter difficulties along the transformation journey. Companies must possess innovation capability to meet the demands of the modern market. Through innovative approaches, companies can improve existing business processes, create new products and business models, and explore new sources of revenue.
Leaders actions and behavior are crucial in the success of digital transformation for companies, and paradoxical leaders possess the ability to integrate contradictions and conflicts. In the face of a dynamic competitive environment, they can effectively lead companies to mitigate the negative impacts of organizational rigidity while enhancing the strategic agility and digital ambidexterity of the organization. When organizations have digital ambidexterity, they can explore new information technologies or deepen existing ones to respond to external environmental changes. Breaking through rigidity is the key for internal acceptance of change within companies, and only with these capabilities and breakthroughs can companies achieve successful digital transformation