Study on 18Cr2Ni4WA Gear Contact Fatigue Experiment and Data Analysis

This paper introduces the installment method of experimental machine and gears, and the definition of stress levels, based on the contact fatigue experiment of 18Cr2Ni4WA carburizing and quenching gears, the few experimental points combination method was applied. The experimental points data was obtained by failure criteria. The S-N curve is fitted according to experiment data, and the experimental points data processing method is also explained in the paper.

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Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT

Wireless Communications and Mobile Computing ◽

10.1155/2021/9981581 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Zhen Guo ◽

Tao Zou

Keyword(s):

Big Data ◽

Data Analysis ◽

Big Data Analysis ◽

Classification Algorithm ◽

Processing Method ◽

Enterprise Management ◽

Training Process ◽

Data Processing Method ◽

Knn Classification ◽

Positive Effect

With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.

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Dynamic and on demand data streams

EPJ Web of Conferences ◽

10.1051/epjconf/201921404030 ◽

2019 ◽

Vol 214 ◽

pp. 04030

Author(s):

Matteo Duranti ◽

Valerio Formato ◽

Valerio Vagelli

Keyword(s):

Data Analysis ◽

Data Streams ◽

Original Data ◽

End Users ◽

Experiment Data ◽

On Demand ◽

Analysis Strategy ◽

Computing Centers ◽

Definition Of ◽

High Level

Replicability and efficiency of data processing on the same data samples are a major challenge for the analysis of data produced by HEP experiments. High level data analyzed by end-users are typically produced as a subset of the whole experiment data sample to study interesting selection of data (streams). For standard applications, streams may be eventually copied from servers and analyzed on local computing centers or user machine clients. The creation of streams as copy of a subset of the original data results in redundant information stored in filesystems and may be not efficient: if the definition of streams changes, it may force a reprocessing of the low-level files with consequent impact on the data analysis efficiency. We propose an approach based on a database of lookup tables intended for dynamic and on-demand definition of data streams. This enables the end-users, as the data analysis strategy evolves, to explore different definitions of streams with minimal cost in computing resources. We also present a prototype demonstration application of this database for the analysis of the AMS-02 experiment data.

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The comparison of k-means and k-medoids algorithms for clustering the spread of the covid-19 outbreak in Indonesia

ILKOM Jurnal Ilmiah ◽

10.33096/ilkom.v13i1.763.31-35 ◽

2021 ◽

Vol 13 (1) ◽

pp. 31-35

Author(s):

Wargijono Utomo

Keyword(s):

Data Analysis ◽

Data Processing ◽

Close Contact ◽

Processing Method ◽

Ministry Of Health ◽

Data Processing Method ◽

Index Value ◽

Respiratory Droplets ◽

Death Cases ◽

Clustering Patterns

The coronavirus spreads quickly through human-to-human transmission via close contact and respiratory droplets such as coughing or sneezing. Various studies have been carried out to deal with Covid-19. However, the cure for this virus has not been found until now. Based on data from the covid19.go.id page retrieved on January 1st, 2021, which was updated by the Ministry of Health, the overall number of confirmed cases was 1,078,314 active cases reaching 175,095 or 16.2% of confirmed cases, recovered 873,221 or 81.0% of confirmed cases, and death 29,998 or 2.8% of the confirmed cases. This study compares the two algorithms of data groups to analyze clustering patterns to determine the best data processing method. The data in this study sourced from the Ministry of Health, contained 4 attributes, including confirmed cases, treatment, recovery, and death cases. In this study, only 2 attributes were used: the confirmed and death cases. From the data analysis and processing results through a comparison between the K-Means method and the K-Medoids for clustering the spread of the coronavirus in Indonesia, a conclusion is derived. With the Davies Boulden index value from K2 to K9 values, it turns out that the K-Means method gets the smallest value at the K-5 of 0.064, while K-Medoids at the k-2 value of 0.411. Thus, from the two methods used, it can be concluded that the best method for clustering the spread of the coronavirus outbreaks in Indonesia is the K-Means method.

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DESAIN BREAKWATER SISI MIRING SEBAGAI UPAYA MENGANTISIPASI LIMPASAN AIR LAUT PADA BANGUNAN REVETMENT DI PANTAI MALABERO KOTA BENGKULU

Inersia, Jurnal Teknik Sipil ◽

10.33369/ijts.9.2.1-10 ◽

2019 ◽

Vol 9 (2) ◽

pp. 1-10

Author(s):

Welendri Yannovita ◽

Besperi Besperi ◽

Gusta Gunawan

Keyword(s):

Data Analysis ◽

Data Processing ◽

Secondary Data ◽

Analysis Data ◽

Processing Method ◽

Primary Data ◽

Analysis Method ◽

Data Processing Method ◽

Protective Cover ◽

Water Overflow

This research aims to desaign of sideways breakwater as an effort to anticipate the water overflow On The Revetment Building At Malabero Beach Bengkulu City. The data used is primary data and secondary data. Primary Data Processing Method Used in Field Direct Namely Collection (Hs and Ts), while the secondary data analysis method using wind data, analysis data tides and topography. The results of the breakwater have the elevation 0f 5,55m, width 3,71 m on the head and 3,91 m on the arms. Weight unit protective cover breakwater head W=3,31 tons, W/10=331 kg, W/200=16 kg and the arms W= 3,87tons, W/10=387 kg,W/200= 19 kg. With 13 and 12 slides of cover in each 10 m on the head and arm.

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Facet Theory

European Psychologist ◽

10.1027/1016-9040.3.1.13 ◽

1998 ◽

Vol 3 (1) ◽

pp. 13-36 ◽

Cited By ~ 54

Author(s):

Ruth Guttman ◽

Charles W. Greenbaum

Keyword(s):

Data Analysis ◽

Animal Behavior ◽

Infant Development ◽

Facet Theory ◽

Structural Relationships ◽

Future Challenges ◽

Spatial Configurations ◽

Multidimensional Methods ◽

Definition Of ◽

Scalogram Analysis

This article gives an overview of Facet Theory, a systematic approach to facilitating theory construction, research design, and data analysis for complex studies, that is particularly appropriate to the behavioral and social sciences. Facet Theory is based on (1) a definitional framework for a universe of observations in the area of study; (2) empirical structures of observations within this framework; (3) a search for correspondence between the definitional system and aspects of the empirical structure for the observations. The development of Facet Theory and Facet Design is reviewed from early scale analysis and the Guttman Scale, leading to the concepts of “mapping sentence,” “universe of content,” “common range,” “content facets,” and nonmetric multidimensional methods of data analysis. In Facet Theory, the definition of the behavioral domain provides a rationale for hypothesizing structural relationships among variables employed in a study. Examples are presented from various areas of research (intelligence, infant development, animal behavior, etc.) to illustrate the methods and results of structural analysis with Smallest Space Analysis (SSA), Multidimensional Scalogram Analysis (MSA), and Partial Order Scalogram Analysis (POSA). The “radex” and “cylindrex” of intelligence tests are shown to be outstanding examples of predicted spatial configurations that have demonstrated the ubiquitous emergence of the same empirical structures in different studies. Further examples are given from studies of spatial abilities, infant development, animal behavior, and others. The use of Facet Theory, with careful construction of theory and design, is shown to provide new insights into existing data; it allows for the diagnosis and discrimination of behavioral traits and makes the generalizability and replication of findings possible, which in turn makes possible the discovery of lawfulness. Achievements, issues, and future challenges of Facet Theory are discussed.

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Pedagang Kaki Lima, Profil Entrepreneurship Sejati, Pelaku Ekonomi Kerakyatan, Ciptakan Jiwa Kewirausahaan Mandiri

JURNAL SOSIAL Jurnal Penelitian Ilmu-Ilmu Sosial ◽

10.33319/sos.v20i1.35 ◽

2019 ◽

Vol 20 (1) ◽

pp. 30-35

Author(s):

Agus Prasetya

Keyword(s):

Qualitative Research ◽

Data Analysis ◽

Data Display ◽

Job Seekers ◽

Street Vendor ◽

Street Vendors ◽

The Social ◽

Collection Data ◽

Definition Of ◽

Depth Interviews

This article is motivated by the fact that the existence of the Street Vendor (PKL) profession is a manifestation of the difficulty of work and the lack of jobs. The scarcity of employment due to the consideration of the number of jobs with unbalanced workforce, economically this has an impact on the number of street vendors (PKL) exploding ... The purpose of being a street vendor is, as a livelihood, making a living, looking for a bite of rice for family, because of the lack of employment, this caused the number of traders to increase. The scarcity of jobs, causes informal sector migration job seekers to create an independent spirit, entrepreneurship, entrepreneurship, with capital, managed by traders who are true populist economic actors. The problems in street vendors are: (1) how to organize, regulate, empower street vendors in the cities (2) how to foster, educate street vendors, and (3) how to help, find capital for street vendors (4) ) how to describe grief as a Five-Foot Trader. This paper aims to find a solution to the problem of street vendors, so that cases of conflict, cases of disputes, clashes of street vendors with Satpol PP can be avoided. For this reason, the following solutions must be sought: (1) understanding the causes of the explosions of street vendors (2) understanding the problems of street vendors. (3) what is the solution to solving street vendors in big cities. (4) describe Street Vendors as actors of the people's economy. This article is qualitative research, the social paradigm is the definition of social, the method of retrieving observational data, in-depth interviews, documentation. Data analysis uses Interactive Miles and Huberman theory, with stages, Collection Data, Display Data, Data Reduction and Vervying or conclusions.

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PENGARUH ETIKA PEGAWAI, PELAYANAN PUBLIK DAN REFORMASI BIROKRASI TERHADAP PENERAPAN ZONA INTEGRITAS PADA LAPAS MAKASSAR

Indonesian Journal of Business and Management ◽

10.35965/jbm.v2i1.175 ◽

2020 ◽

Vol 2 (1) ◽

pp. 13-15

Author(s):

Adi Sucipto ◽

Hasanuddin Remmang ◽

Haeruddin Saleh

Keyword(s):

Regression Analysis ◽

Data Processing ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Random Sampling ◽

Public Services ◽

Simple Random Sampling ◽

Processing Method ◽

Data Processing Method

Penelitian ini bertujuan menguji pengaruh Etika Pegawai, Pelayanan Publik dan Reformasi Birokrasi terhadap Penerapan Zona Integritas. Pengaruh Etika Pegawai, Pelayanan Publik dan Reformasi Birokrasi terhadap Penerapan Zona Integritas pada Lembaga Pemasyarakatan Kelas I Makassar Responden dalam penelitian ini adalah Pengunjung dan keluarga nara-pidana Lembaga Pemasyarakatan Kelas I Makassar. Jumlah pengunjung yang menjadi sampel penelitian ini adalah 55 orang. Metode penentuan sampel yang digunakan dalam penelitian ini adalah Simple Random Sampling, sedangkan metode pengolahan data yang digunakan peneliti adalah analisis regresi berganda. Hasil penelitian ini menunjukkan bahwa Etika Pegawai dan Pelayanan Publik berpengaruh signifikan terhadap Penerapan Zona Integritas di Lembaga Pemasyarakatan Kelas I Makassar. This study examines the effect of employee ethics and the improvement of public services on the implementation of the integrity zone. The effect of employee ethics, and improvement of public services on the implementation of integrity zone on Lembaga Pemasyarakatan Kelas 1 Makassar. Respondents in this study were Makassar class in penitentiary visitors. the number of visitors who sampled this study was 55 people. the method of determining the sample used in this study is simple random sampling, while the data processing method used by researchers is multiple regression analysis. the results of this study indicate that employee ethics and public services have a significant effect on the implementation of the integrity zone in Makassar class in penitentiary.

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