Data analysis for sports training based on information technology

2013 ◽  
Author(s):  
Wang Hongliang
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Sports Training

scholarly journals Towards Implementation of Big Data Concepts in a Pharmaceutical Company

2020 ◽  
Vol 10 (1) ◽  
pp. 343-356
Author(s):  
Snezana Savoska ◽  
Blagoj Ristevski
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Pharmaceutical Company ◽  
Big Data Analytics ◽  
Structured Interviews ◽  
Holistic View ◽  
Analysis Methodology ◽  
Decision Making Processes ◽  
Research Demands

AbstractNowadays, big data is a widely utilized concept that has been spreading quickly in almost every domain. For pharmaceutical companies, using this concept is a challenging task because of the permanent pressure and business demands created through the legal requirements, research demands and standardization that have to be adopted. These legal and standards’ demands are associated with human healthcare safety and drug control that demands continuous and deep data analysis. Companies update their procedures to the particular laws, standards, market demands and regulations all the time by using contemporary information technology. This paper highlights some important aspects of the experience and change methodology used in one Macedonian pharmaceutical company, which has employed information technology solutions that successfully tackle legal and business pressures when dealing with a large amount of data. We used a holistic view and deliverables analysis methodology to gain top-down insights into the possibilities of big data analytics. Also, structured interviews with the company’s managers were used for information collection and proactive methodology with workshops was used in data integration toward the implementation of big data concepts. The paper emphasizes the information and knowledge used in this domain to improve awareness for the needs of big data analysis to achieve a competitive advantage. The main results are focused on systematizing the whole company’s data, information and knowledge and propose a solution that integrates big data to support managers’ decision-making processes.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

scholarly journals Implementasi Usability Testing dalam Evaluasi Website Sekolah

2020 ◽  
Vol 9 (3) ◽  
pp. 420-426
Author(s):  
Susan Dian Purnamasari ◽  
Firamon Syakti
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Data Collection ◽  
Usability Testing ◽  
The Internet ◽  
Test Results ◽  
Testing Techniques

One of the products of information technology that is common today is the school website. Where the school website is the spearhead for schools in disseminating information to related parties. The most important aspect of a website is the usability aspect because it greatly affects visitor convenience. The use of the website for disseminating information is also used by SMK Negeri Sumsel and the school's main portal on the internet. For that to see the importance of the usability aspect, this study aims to see the level of usability of the SMK Negeri Sumsel website. In measuring the level of usability, usability testing techniques are used with the stages of preparation, selecting respondents, data collection and data analysis. The test results show that the usability aspects on the website such as errors, learnability, memorability and satisfaction get good ratings while the efficiency aspects are not categorized as good.

scholarly journals CREATING SUSTAINABLE COMPETITIVE ADVANTAGE IN BANKING THROUGH TECHNOLOGY, CUSTOMER RELATIONSHIP MANAGEMENT AND INTERNAL MARKERTING

2017 ◽  
Vol 1 (1) ◽  
pp. 74
Author(s):  
Lilian Achieng Onyango ◽  
Dr. Paul Katuse
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Competitive Advantage ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Descriptive Statistics ◽  
Customer Relationship ◽  
Sustainable Competitive Advantage ◽  
Significant Positive Effect ◽  
Positive Effect

Purpose: The purpose of the study was to establish the need of creating sustainable competitive advantage in banking through technology, customer relationship management and internal marketing.Methodology: The research was carried out through an explanatory research. The target population of the study was 3,193 employees of the Co-op Bank. A sample of 68 employees spread across the bank was selected. The researcher used descriptive and inferential statistics in this study.  The study used primary data. The study used a questionnaire as the preferred data collection tool. This study used the quantitative method of data analysis which included inferential and descriptive statistics. Descriptive statistics included frequencies and measures of tendency mainly means and frequencies. Inferential statistics included correlation analysis. The tool for data analysis was Statistical Package for Social Sciences (SPSS) version 17 program. The results were presented using tables and pie charts to give a clear picture of the research findings.Results: The findings indicated that information technology has significant positive effect on competitive advantage. The findings also showed that customer relationship management (CRM) has a significant positive effect on competitive advantage of banks. The findings further implied that internal marketing has a significant effect on competitive advantage. Further the findings implied that information technology has significant positive effect on competitive advantage.Unique contribution to theory, practice and policy: Following study results, it was recommended that investment in Information technology be emphasized in the banks as it has an effect on the overall achievement of competitive advantage. The study also recommended that banks should emphasize customer relationship by investing in a customer relationship management system. It was further recommended that employees are central to an effective CRM and as such firms must manage its relationships with their employees if they have any hope of fully serving customer needs and that this is especially important in firms where employees are the eyes of customers.

scholarly journals Implementasi Model IBMR Berbantu PhET Simulation untuk Meningkatkan Kemampuan Representasi pada Pembelajaran Fisika

2019 ◽  
Vol 10 (2) ◽  
pp. 96-100
Author(s):  
Joko Siswanto
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Research Data ◽  
Physics Learning ◽  
Physics Courses ◽  
Information Technology Education ◽  
Post Test ◽  
Basic Physics ◽  
Learning Data ◽  
Paired T Test

This study aims to analyze the effectiveness of the IBMR learning model assisted by phet to improve the ability of representation in physics learning. The research design used quasi-experiment one group pre-test and post-test conducted on 20 students of Information Technology Education at Universitas PGRI Semarang who programmed basic physics courses. The research data was collected from pre-test and post-test the ability of representation supported by observations of the implementation of learning. Data analysis uses paired t-test and n-gain to calculate and determine the criteria of increase of the representation ability. The results showed that the implementation of the IBMR model assisted by phet simulation was effective in increasing the ability of representation of students with gain score <g> = 0,59 (moderate criteria).

scholarly journals Innovation and Internationalization of Hungarian SMEs in the IT Industry

2014 ◽  
Vol 40 (1) ◽  
pp. 30-49
Author(s):  
László Csonka
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Multinational Enterprises ◽  
Information Technologies ◽  
Secondary Data ◽  
Research Development ◽  
Internationalization Process ◽  
Safety Zone ◽  
It Industry ◽  
Managerial Capabilities

Abstract The aim of this paper is to look at the extent and type of internationalization among Hungarian information technology (IT) small- and medium-sized enterprises (SMEs) and the possible relationship between the degree of innovativeness and the internationalization of these companies. Information technologies play an important role in the Hungarian economy: this sector is one of the most R&D intensive industries in which many SMEs are active. The paper reviews relevant theories of internationalization in research, development and innovation (RDI) to give a broader picture of the environment in which SMEs have to succeed. This is followed by a secondary data analysis to show the situation of the industry in Hungary, then by an analysis of the survey data and interviews designed specifically for the purpose of this research. The new empirical results show that Hungarian IT SMEs are still at the beginning of the internationalization process: while aware of the advantages of collaborations and internationalization, they are still reluctant to venture out of their “safety zone” and therefore they collaborate only with their closest partners. Very few SMEs have decided to establish international RDI contacts. The analysis suggests that the main barriers in internationalization of the Hungarian SMEs are due to lack of capital, appropriate managerial capabilities and innovation-friendly economic environment. So far, most theories/empirical research have concentrated on the role and activities of multinational enterprises in the internationalization of RDI, while in the literature less relevant knowledge on SMEs is available. The aim of this paper is to contribute to this latter part of the literature by analyzing the international activities of innovative/R&D-intensive SMEs in Hungary.

The Implementation of Singkawang City Tourism Political Policy in Facing the Impact of Covid-19

2021 ◽  
Vol 12 (1) ◽  
pp. 24-24
Author(s):  
Martoyoa Martoyoa ◽  
Elyta Elyta
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Secondary Data ◽  
Qualitative Approach ◽  
Digital Platforms ◽  
Political Policy ◽  
Descriptive Research ◽  
City Tourism ◽  
Unit Coordination ◽  
The Impact

Before the Covid-19 pandemic occurred, Indonesia's tourism development had a strategic meaning when viewed from multiple aspects. However, in March 2020, the condition has now turned around. Tourism is one of the hardest hit by the Covid-19 pandemic, including tourism in Singkawang City, Indonesia. This study aims to analyze the implementation of Singkawang City's tourism political policy in dealing with the impact of Covid-19. The type of research used is descriptive research with a qualitative approach. The researcher collected primary and secondary data through interviews and documentation studies. Data analysis was carried out in systematic stages, starting from presenting the data that had been collected, summarizing, and making conclusions. The researcher found that the tourism policy of Singkawang City in dealing with the impact of Covid-19 was implemented through the Regional Representative Council on the new normal economy; refocusing budget reallocation; the implementation of leading tourism events according to health protocols; implementation of cross-unit coordination and application of managerial interpretation; and operations utilizing information technology, digital platforms, and online applications. Keywords: Political Policy; Tourism Politics; Covid-19

Innovative Formalism for Biological Data Analysis

2018 ◽  
pp. 1814-1824
Author(s):  
Calin Ciufudean
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Medical Devices ◽  
Fuzzy Set ◽  
Biological Data ◽  
Fuzzy Operators ◽  
Biological Data Analysis ◽  
Biological Signals ◽  
Design And Manufacture ◽  
Gathering Data

Modern medical devices involves information technology (IT) based on electronic structures for data and signals sensing and gathering, data and signals transmission as well as data and signals processing in order to assist and help the medical staff to diagnose, cure and to monitors the evolution of patients. By focusing on biological signals processing we may notice that numerical processing of information delivered by sensors has a significant importance for a fair and optimum design and manufacture of modern medical devices. We consider for this approach fuzzy set as a formalism of analysis of biological signals processing and we propose to be accomplished this goal by developing fuzzy operators for filtering the noise of biological signals measurement. We exemplify this approach on neurological measurements performed with an Electro-Encephalograph (EEG).

Human-Centered Design for Health Information Technology

2011 ◽  
pp. 296-318
Author(s):  
Charlotte Tang ◽  
Sheelagh Carpendale
Keyword(s):  
Health Care ◽  
Qualitative Research ◽  
Information Technology ◽  
Data Analysis ◽  
Information Flow ◽  
Field Studies ◽  
Human Centered Design ◽  
Medical Settings ◽  
Care Technology

This chapter presents issues that may arise in human-centered research in health care environments. The authors first discuss why human-centered approach is increasingly employed to study and to design health care technology. They then present some practical concerns that may arise when conducting qualitative research in medical settings, from research design, to data collection and data analysis, and to technology design. Many of these concerns were also experienced in their own human-centered field studies conducted in the last few years. The authors conclude the chapter by illustrating some of these issues using their own research case study that investigated nurses’ information flow in a hospital ward.

Translating Advances in Data Mining in Business Operations

2008 ◽  
pp. 2734-2748
Author(s):  
Henry Dillon ◽  
Beverley Hope
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Data Analysis ◽  
Knowledge Discovery ◽  
Knowledge Discovery In Databases ◽  
Business Context ◽  
Business Operations ◽  
Analysis Tools ◽  
It Managers ◽  
Tools And Techniques

Knowledge discovery in databases (KDD) is a field of research that studies the development and use of various data analysis tools and techniques. KDD research has produced an array of models, theories, functions and methodologies for producing knowledge from data. However, despite these advances, nearly two thirds of information technology (IT) managers say that data mining products are too difficult to use in a business context. This chapter discusses how advances in data mining translate into the business context. It highlights the art of business implementation rather than the science of KDD.

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