ECM Process—Data Collection

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.

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The Study of Motor Winding Testing System for Inter-Turn with 30kV

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.278-280.831 ◽

2013 ◽

Vol 278-280 ◽

pp. 831-834 ◽

Cited By ~ 1

Author(s):

Xiao Sun ◽

Hao Zhou ◽

Xiang Jiang Lu ◽

Yong Yang

Keyword(s):

Data Collection ◽

Real Time ◽

Field Test ◽

Performance Indicators ◽

Testing System ◽

Time Data ◽

Process Data ◽

Real Time Data ◽

Long Time ◽

Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

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Process data collection and presentation

Statistical Process Control ◽

10.4324/9780080474458-8 ◽

2012 ◽

pp. 54-72

Keyword(s):

Data Collection ◽

Process Data

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Kompetensi Profesional Guru Sekolah Menengah Pertama Kabupaten Kendal

Jurnal VARIDIKA ◽

10.23917/varidika.v1i1.8906 ◽

2019 ◽

Vol 1 (1) ◽

pp. 63-72

Author(s):

Sofyan Anif ◽

S. Sutama ◽

Harun Joko Prayitno ◽

S. Sukartono

Keyword(s):

Data Collection ◽

Teacher Perceptions ◽

High School Teachers ◽

Junior High School ◽

Professional Competence ◽

Human Relations ◽

Process Data ◽

Junior High School Teachers ◽

Collection Data ◽

Agent Of Change

The teacher has a vital and fundamental role as an agent of change in helping and guiding students in the process of changing from not knowing to knowing, not understanding to understanding, not mastering to mastering and so on. Such circumstances indicate that it is appropriate to improve the professional competence of teachers. The purpose of this study is to describe the professional competence of junior high school teachers. The research method used is qualitative with data collection techniques through observation, interviews and documentation. Data validation is done through triangulation, with analysis of data flow methods with the process: data collection, data reduction, then presented, followed by conclusions and verification. The results showed that the professional competence of teachers showed an average of 1.33 in poor condition. Specifically if related to teacher perceptions, it can be seen from the competencies about personality and competencies about carrying out tasks. Perspesi regarding personality is related to work discipline, work morality, loyalty, responsibility and human relations, while the perception of competence in carrying out tasks is related to work suitability andfluency in carrying out tasks.

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Privacy and Security Requirements for a Digital Data Hub

10.36227/techrxiv.17048384 ◽

2021 ◽

Author(s):

Martin Gfeller ◽

Thomas Hardjono

Keyword(s):

Data Collection ◽

Digital Data ◽

Security Requirements ◽

Process Data ◽

Privacy And Security ◽

Daily Lives ◽

Business Transactions ◽

Private Banking

A Digital Data Hub provides Data Accounts wherein persons may store data that are collected in their interaction with organizations. The hub is extensible by contributed Data Apps that gather and process data and conduct business transactions. They may act as Agents assisting the users in their daily lives. Private-banking-grade Privacy and Security ensure that the power of this data collection cannot be misused. Schema standardization is key to ensure privacy and security.

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Imperative Speech in Learning Process at TK Badak Mekar, Muara Badak, Kutai Kartanegara: A Pragmatic Analysis

CAKRAWALA LINGUISTA ◽

10.26737/cling.v1i1.489 ◽

2018 ◽

Vol 1 (1) ◽

pp. 8

Author(s):

Yusak Hudiyono ◽

Suhana Suhana

Keyword(s):

Data Analysis ◽

Data Collection ◽

Learning Process ◽

Participant Observation ◽

Structural Form ◽

Conversational Analysis ◽

Process Data ◽

Pragmatic Analysis ◽

Analysis Technique ◽

Low Tone

This study aims to describe the speech of kindergarten teachers Badak Mekar, Muara Badak, Kutai Kartanegara covering (1) imperative form, (2) imperative politeness. Data analysis used conversational analysis with pragmatic analysis technique. The validity of the data is obtained through observational persistence and triangulation is done during the teaching process. Data collection is done by tapping technique (participant observation), recording techniques, and collect as many as 124 imperative speeches. The results of the first study (1), the imperative form in the speech of the kindergarten of the Badak Mekar kindergarten include (a) the most commonly found structural form is the non-transitive active and passive imperative and (b) the most commonly found pragmatic form is the imperative form (command construction). (2) Secondly, the imperative courtesy of the teacher's speech includes (a) the most commonly found linguistic politeness is a gentle word, a low tone of speech, and polite kinesics gestures, and (b) the most common pragmatic pronunciation is maxima consensus and there is also a combination of two to three maxims. Pragmatic pronunciation based on the most commonly found speech constructions is declarative and interrogative construction.

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Forensik Mobile pada Layanan Media Sosial LinkedIn

JISKA (Jurnal Informatika Sunan Kalijaga) ◽

10.14421/jiska.2021.61-02 ◽

2021 ◽

Vol 6 (1) ◽

pp. 9

Author(s):

Imam Riadi ◽

Anton Yudhana ◽

Mushab Al Barra

Keyword(s):

Social Media ◽

Data Analysis ◽

Data Collection ◽

Digital Evidence ◽

Process Data ◽

Phone Calls

The research explores mobile forensic on LinkedIn social media. Forensic mobile finds digital evidence of job hoax cases in LinkedIn, investigation using the NIST (National Institute of Standard and Technology) method. Data collection techniques using Andriller tools in investigations. Data examination using tools Root Browser, Autopsy in the forensic process. data analysis using tools MOBILedit in the forensic process. The investigation found digital evidence of log activity, a status update on LinkedIn. Other results found in the investigation are 17 WiFi password, 117 download history, 263 phone calls, 1 file deleted, 1 file hidden, and 1 file raised, the research has reached the expected target.

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Evaluation of Rapidminer-Aplication in Data Mining Learning using PeRSIVA Model

EDUMATIC Jurnal Pendidikan Informatika ◽

10.29408/edumatic.v4i2.2688 ◽

2020 ◽

Vol 4 (2) ◽

pp. 164-171

Author(s):

Muhammad Uska ◽

◽

Rasyid Wirasasmita ◽

Usuluddin Usuluddin ◽

Baiq Arianti ◽

...

Keyword(s):

Data Mining ◽

Data Analysis ◽

Data Collection ◽

Completion Rate ◽

Descriptive Statistics ◽

Think Aloud ◽

Process Data ◽

Data Collection Technique ◽

Evaluation Of Data ◽

Analyze Data

RapidMiner is an application that is used to analyze data quantities and qualitatively to obtain information and knowledge as expected. This software is implemented to process data using several methods or algorithms in Data Minig learning. However, when using this software, users sometimes cannot distinguish between various methods or algorithms in Data Mining. Therefore, it is necessary to evaluate to optimize the use of this software in data mining learning. This study focuses on RapidMiner evaluation of data mining learning using the Persiva model. This model consists of aspects of satisfaction, behavior, impact, and effectiveness. The data collection technique was in the form of a questionnaire with 48 subjects. Data analysis used is descriptive statistics to determine satisfaction, behavior and effects. Meanwhile, Think-Aloud Retrospective technique is used to determine the effectiveness of RapidMiner. Our findings show that users are satisfied with the results of respondents on average agreeing (80%), in the aspect of behavior and impact, the percentage results are above 80%, and the use of this application has been effective with a completion rate above 90%. So it can be concluded that by using this application in data mining learning users can easily complete tasks, and be motivated, and add insights and knowledge in relevant disciplines.

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Hubungan Persepsi Dengan Motivasi Siswa Sekolah Menengah Kejuruan Dalam Konseling Perorangan

JURKAM Jurnal Konseling Andi Matappa ◽

10.31100/jurkam.v1i2.66 ◽

2017 ◽

Vol 1 (2) ◽

pp. 116

Author(s):

Diastuti Diastuti ◽

Itsar Bolo Rangka ◽

Wahyu Eka Prasetyaningtyas ◽

Dian Renata

Keyword(s):

Data Analysis ◽

Data Collection ◽

Vocational School ◽

Counselling Service ◽

Process Data ◽

Positive Direction ◽

Individual Counselling ◽

Perceptions Of Students ◽

Research Findings ◽

Counselling Process

This study aimed to perform relationship between students perceptions on counselling practice with motivational student’s in to individual counselling process. Data collection was conducted against 288 students in Al Hidayah 1 Vocational School - Jakarta. Data analysis used the correlation coefficient test Gamma and Somers'D. The research findings showed coefficient Gamma and Somers'D test reached 0496 with Zhitung > Ztable or 6,523 > 1.96. It means there is a significant relationship and positive direction between the perceptions of students towards counselling and motivation of students followed individual counselling service

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DESIGN AND IMPLEMENTATION OF CROWDSOURCING BASED CHINA'S NATIONAL PUBLIC GEOSPATIAL INFORMATION COLLECTION SYSTEM

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w13-1621-2019 ◽

2019 ◽

Vol XLII-2/W13 ◽

pp. 1621-1624

Author(s):

H. Zhang ◽

J. Jiang ◽

W. Huang ◽

L. Yang

Keyword(s):

Data Collection ◽

Spatial Data ◽

Information Service ◽

Geospatial Data ◽

Process Data ◽

Geospatial Information ◽

Service Platform ◽

The Public ◽

The Government ◽

Data Update

Abstract. As the basis of public geospatial information service, geospatial information data with wide coverage, strong timeliness, rich content and high positioning accuracy is the key infrastructure of geospatial infrastructure for building smart cities and digital China. How to collect and update massive geospatial information resources fast and efficiently has always been the bottleneck for the rapid development of surveying and mapping geospatial information science and technology and industries, and the construction of China's national spatial data infrastructure. At present, the mainstream of geospatial data collecting and updating in China is that the government and enterprise employ professional engineers to for this work, but the problems of professional and complex data processing process, data management level by level, closed and off-line data update mode lead to a relatively slow update rate and poor data actuality, which seriously restricted the applications of geospatial information service in the fields of government decision-making, planning and construction, resource and environment monitoring, and emergency response. The contributions to the geospatial information data from the public community has also been ignored. This paper addresses the issues of low efficiency on data collection and update occurring in China's national geospatial information service platform, proposing a solution for public geospatial data collection and update based on crowdsourcing. The key technologies of data collection, storage, reviews and publication are studied, and the basic technical process of online data update for the government and the public users is designed. In order to verify the effectiveness and practicality of the mode discussed above, a prototype system is developed by expanding China's national geospatial information service platform, which fulfilled data online collection and reviewing, such as POIs, roads, and residential areas. The system can provide new methods and reference ideas for the collection and update of spatial data for the national geospatial information public service platform. It is a useful supplement to the current spatial data collection and update, and has important significances.

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