Challenges of Data Acquisition and Analysis for Characteristics-Driven and Metrology-Based Optimization of Milling Process Development

2014 ◽  
Vol 704 ◽  
pp. 233-238
Author(s):  
Laura Niendorf ◽  
Markus Grosse Boeckmann ◽  
Robert Schmitt
Keyword(s):  
Data Mining ◽  
Process Development ◽  
Early Stage ◽  
Milling Process ◽  
Production Environment ◽  
Process Data ◽  
Related Data ◽  
Research Activities ◽  
Future Production ◽  
Set Up

The research and practical use of data and data-mining in production environment is still at an early stage. Although almost every manufacturing company collects a lot of process and product related data they often do neither use nor deploy this data in order to optimize or even analyze their production processes. The acquisition of process data brings several advantages. On the one hand the implicit knowledge is permanently stored and on the other hand it is possible to learn from previous process failures. The acquired knowledge could then be applied to all future production tasks. Although many research activities can be observed since the late 90s, none of them managed the transfer to practical usage. In order to encourage the practical transfer of data-mining in production environment this paper presents a metrology-based test set-up and therewith arising challenges when consistently acquiring and processing inhomogeneous process, product and machine data. For the experimental set-up, on-machine metrology systems were developed and integrated into a 5-axis milling machine to gain much significant data.

IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Ewin Karman Nduru ◽  
Efori Buulolo ◽  
Pristiwanto Pristiwanto
Keyword(s):  
High School ◽  
Data Mining ◽  
High School Students ◽  
Marketing Strategy ◽  
Process Data ◽  
School Students ◽  
The North ◽  
The Government ◽  
Using Data ◽  
North Sumatra

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.

The Emergence of Rabbinic Culture from the Perspective of Qumran

2015 ◽  
Vol 6 (2) ◽  
pp. 253-274
Author(s):  
Vered Noam
Keyword(s):  
Early Stage ◽  
Second Temple ◽  
Test Case ◽  
Literary Works ◽  
Jewish Culture ◽  
The Bible ◽  
Set Up

The rabbinic halakhic system, with its many facets and the literary works that comprise it, reflects a new Jewish culture, almost completely distinct in its halakhic content and scope from the biblical and postbiblical culture that preceded it. By examining Jewish legislation in the area of corpse impurity as a test case, the article studies the implications of Qumranic halakhah, as a way-station between the Bible and the Mishnah, for understanding how Tannaitic halakhah developed. The impression obtained from the material reviewed in the article is that the direction of the “Tannaitic revolution” was charted, its methods set up, and its principles established, at a surprisingly early stage, before the destruction of the Second Temple, and thus at the same time that the Qumran literature was created.

Analysis of Chinese herbal formulae recommended for COVID-19 in different schemes in China: A data mining Approach

2020 ◽  
Vol 23 ◽  
Author(s):  
LiWei Yin ◽  
YaCen Gao ◽  
ZiPing Li ◽  
MengYu Wang ◽  
KaiXin Chen
Keyword(s):  
Data Mining ◽  
Early Stage ◽  
Herbal Medicines ◽  
Chinese Herbs ◽  
Recovery Stage ◽  
Prescription Pattern ◽  
Middle Stage ◽  
Chinese Herbal ◽  
Severe Stage ◽  
Herbal Formulae

Background: Novel coronavirus pneumonia (NCP), or coronavirus disease 2019 (COVID-19), is a worldwide health threat that has affected millions of people globally. Traditional Chinese medicine (TCM) has been introduced for the treatment of COVID-19. However, efficacy differs among herbal medicines, and the ideal prescription pattern for TCM herbal formulae for COVID-19 treatment needs to be explored. Therefore, the data mining method has been used in this study to analyze the TCM prescription pattern for COVID-19. Objective: The aim of this study was to analyze the TCM prescription pattern in Regional Schemes in China for COVID-19 in order to provide a new reference for the use of TCM in COVID-19 treatment. Method: By searching the TCM treatment protocols of COVID-19 in 23 Regional Schemes, TCM syndromes and herbal medicines were analyzed by data mining. The Ancient and Modern Medical Case Cloud Platform (V2.1 personal Edition) was used to perform frequency statistics, correlation analysis, and cluster analysis. A total of 82 TCM syndromes and 171 Chinese herbal medicines were found. The course of the disease can be divided into the early stage, middle stage, severe stage, and recovery stage. Results: In the early stage, the focus is primarily on resolving dampness, dispelling cold, and diffusing the lungs. In the middle stage, the treatment priority is clearing heat and resolving toxins, promoting lung function, and relieving asthma. In the severe stage, the focus is on tonifying Qi, restoring Yang, and relieving depletion of Yin and Yang. In the recovery stage, the main treatment is to invigorate the spleen and regulate Qi, tonify Qi, nourish Yin, and clear residual disease evil. There are certain differences between the Regional Schemes and the Nation Schemes, but the core prescription pattern of the former is consistent with the latter. The effectiveness of these 171 Chinese herbs include but are not limited to inhibiting COVID-19, strengthening immune system function, preventing heart failure, acting as antioxidants, oxidative stress inhibitory effects, maintaining organ function, and improving leukocyte survival. Conclusion: This study may help to improve understanding of TCM herbal prescription pattern, practices, reveal the efficacy of combinations of Chinese herbs, and provide new ideas for TCM treatment for COVID-19.

scholarly journals High-throughput microbioreactor provides a capable tool for early stage bioprocess development

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mathias Fink ◽  
Monika Cserjan-Puschmann ◽  
Daniela Reinisch ◽  
Gerald Striedner
Keyword(s):  
High Throughput ◽  
Process Development ◽  
Early Stage ◽  
Explanatory Power ◽  
Batch Mode ◽  
E Coli ◽  
Speed Up ◽  
Bioreactor System ◽  
Cell Densities ◽  
Microbial Systems

AbstractTremendous advancements in cell and protein engineering methodologies and bioinformatics have led to a vast increase in bacterial production clones and recombinant protein variants to be screened and evaluated. Consequently, an urgent need exists for efficient high-throughput (HTP) screening approaches to improve the efficiency in early process development as a basis to speed-up all subsequent steps in the course of process design and engineering. In this study, we selected the BioLector micro-bioreactor (µ-bioreactor) system as an HTP cultivation platform to screen E. coli expression clones producing representative protein candidates for biopharmaceutical applications. We evaluated the extent to which generated clones and condition screening results were transferable and comparable to results from fully controlled bioreactor systems operated in fed-batch mode at moderate or high cell densities. Direct comparison of 22 different production clones showed great transferability. We observed the same growth and expression characteristics, and identical clone rankings except one host-Fab-leader combination. This outcome demonstrates the explanatory power of HTP µ-bioreactor data and the suitability of this platform as a screening tool in upstream development of microbial systems. Fast, reliable, and transferable screening data significantly reduce experiments in fully controlled bioreactor systems and accelerate process development at lower cost.

scholarly journals Stigma, Discrimination, and Hate Crimes in Chinese-Speaking World amid Covid-19 Pandemic

2021 ◽  
Author(s):  
Jianhua Xu ◽  
Guyu Sun ◽  
Wei Cao ◽  
Wenyuan Fan ◽  
Zhihao Pan ◽  
...  
Keyword(s):  
Data Mining ◽  
Hong Kong ◽  
Political Ideology ◽  
Chinese Population ◽  
Early Stage ◽  
Chinese Language ◽  
Hate Crimes ◽  
Overseas Chinese ◽  
Mainland Chinese ◽  
Media Reports

AbstractThe Covid-19 pandemic has given rise to stigma, discrimination, and even hate crimes against various populations in the Chinese language–speaking world. Using interview data with victims, online observation, and the data mining of media reports, this paper investigated the changing targets of stigma from the outbreak of Covid-19 to early April 2020 when China had largely contained the first wave of Covid-19 within its border. We found that at the early stage of the pandemic, stigma was inflicted by some non-Hubei Chinese population onto Wuhan and Hubei residents, by some Hong Kong and Taiwan residents onto mainland Chinese, and by some Westerners towards overseas Chinese. With the number of cases outside China surpassing that in China, stigmatization was imposed by some Chinese onto Africans in China. We further explore how various factors, such as the fear of infection, food and mask culture, political ideology, and racism, affected the stigmatization of different victim groups. This study not only improved our understanding of how stigmatization happened in the Chinese-speaking world amid Covid-19 but also contributes to the literature of how sociopolitical factors may affect the production of hate crimes.

scholarly journals Preferences for Updates on General Research Results: A Survey of Participants in Genomic Research from Two Institutions

2021 ◽  
Vol 11 (5) ◽  
pp. 399
Author(s):  
Casey Overby Taylor ◽  
Natalie Flaks Manov ◽  
Katherine D. Crew ◽  
Chunhua Weng ◽  
John J. Connolly ◽  
...  
Keyword(s):  
Research Result ◽  
Hierarchical Cluster ◽  
Genomic Research ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Four Dimensions ◽  
Research Participants ◽  
Research Activities ◽  
Study Results ◽  
Set Up

There is a need for multimodal strategies to keep research participants informed about study results. Our aim was to characterize preferences of genomic research participants from two institutions along four dimensions of general research result updates: content, timing, mechanism, and frequency. Methods: We conducted a web-based cross-sectional survey that was administered from 25 June 2018 to 5 December 2018. Results: 397 participants completed the survey, most of whom (96%) expressed a desire to receive research updates. Preferences with high endorsement included: update content (brief descriptions of major findings, descriptions of purpose and goals, and educational material); update timing (when the research is completed, when findings are reviewed, when findings are published, and when the study status changes); update mechanism (email with updates, and email newsletter); and update frequency (every three months). Hierarchical cluster analyses based on the four update preferences identified four profiles of participants with similar preference patterns. Very few participants in the largest profile were comfortable with budgeting less money for research activities so that researchers have money to set up services to send research result updates to study participants. Conclusion: Future studies may benefit from exploring preferences for research result updates, as we have in our study. In addition, this work provides evidence of a need for funders to incentivize researchers to communicate results to participants.

scholarly journals Application of the Deep CNN-Based Method in Industrial System for Wire Marking Identification

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak
Keyword(s):  
Production Process ◽  
Process Development ◽  
Process Time ◽  
Industrial System ◽  
Assembly Process ◽  
Production Environment ◽  
Deep Convolutional Neural Networks ◽  
Control Cabinet ◽  
Production Processes ◽  
The Wire

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.

Resistless Patterning of Magnetic Storage Media Using Ion Projection Structuring

2001 ◽  
Vol 705 ◽  
Author(s):  
A. Dietzel ◽  
R. Berger ◽  
H. Grimm ◽  
C. Schug ◽  
W. H. Bruenger ◽  
...  
Keyword(s):  
Process Development ◽  
Ion Beam ◽  
Silicon On Insulator ◽  
Magnetic Storage ◽  
Magnetic Islands ◽  
Superlattice Structure ◽  
Head Positioning ◽  
Out Of Plane ◽  
Set Up ◽  
The Impact

AbstractCo/Pt thin film multilayers with strong perpendicular anisotropy and out-of-plane coercivities of 5-11 kOe were magnetically altered in areas of local ion beam interaction. The ion irradiations were performed by ion projection through silicon stencil masks fabricated by silicon on insulator (SOI) membrane technology. The ion projector at the Fraunhofer Institute for Silicon Technology (ISiT) was operated at 73 keV ion energy and with a 8.7- fold demagnification. After exposure to 3 × 1014Ar+/ cm2 magnetic islands smaller than 100 nm in diameter were resolved in the Co/Pt multilayersby means of magnetic force microscopy. The impact of different ion species (He+, Ar+ and Xe+) and ion energies (10 – 200 keV) on the multilayer structure was evaluated using Monte Carlo simulations. The ballistic interface intermixing was used to predict magnetic coercivity changes for various irradiation conditions. The simulations revealed that with 73 keV Ar+ and Xe+ ions the irradiation dose could be reduced by a factor of 100 and 400 respectively in comparison to 73 keV He+which was verified in the experiments. X-ray reflectivity measurements confirmed that the Co/Pt superlattice structure is slightly weakened during the irradiation and that the surface smoothness of the media is preserved. Using the Ion Projection Process Development Tool (PDT) at IMS-Vienna concentric data tracks including head positioning servo informations were patterned onto a 1” IBM microdrive™ glass disk which was coated with Co/Pt multilayers. In a single exposure step several tracks within an exposure field of 17 mm in diameter were structured by 2 × 1015He+/ cm2 at 45 keV using a 4- fold demagnification set-up.

Extracting knowledge from building-related data — A data mining framework

2013 ◽  
Vol 6 (2) ◽  
pp. 207-222 ◽  
Author(s):  
Zhun Yu ◽  
Benjamin C. M. Fung ◽  
Fariborz Haghighat
Keyword(s):  
Data Mining ◽  
Related Data
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