A Regression-Based “Patent Data Analysis” Approach: A Case Study for “Weapon Technology” Evaluation Process

2021 ◽  
pp. 1-13
Author(s):  
Serkan Altuntas ◽  
Turkay Dereli
Keyword(s):  
Data Analysis ◽  
Evaluation Process ◽  
Analysis Approach ◽  
Technology Evaluation ◽  
Patent Data

scholarly journals AKUNTABILITAS PENGELOLAAN DANA DESA DALAM UPAYA PEMBANGUNAN DI DESA SAJANG KECAMATAN SEMBALUN

2020 ◽  
Vol 6 (2) ◽  
pp. 119
Author(s):  
Baiq hanita Septiani Audia ◽  
Indah Ariffianti ◽  
Baiq Desthania Prathama
Keyword(s):  
Data Analysis ◽  
Descriptive Analysis ◽  
Analysis Approach ◽  
Fund Management ◽  
Accountability System ◽  
Planning Implementation

This study aims to determine the Accountability of village fund Management to improvedevelopment in Sajang Village, Sembalun District, which consists of five stages, namelyPlanning, Implementation, administration, reporting and accaountability.This type of research isa case study using a descriptive analysis approach. In this study, the techniques of datacollection use are interviews, questionnaires and documentatation. The data analysis techniqueuse in this study is a quanlitative descriptive analysis technique.The results of this study indicatethat the planning, implementation, reporting, administration and accountability system ofaccountability has applied the principle of accountability. Thia is evidenced from the results ofinterviews with documentation and questionnaires.

scholarly journals Proses Penilaian Prestasi Kerja Pegawai Negeri Sipil Pada Kantor Unit Penyelenggara Bandar Udara

2021 ◽  
Vol 12 (3) ◽  
pp. 323-330
Author(s):  
Moh. Agus Suhartono ◽  
Tehubijuluw Zacharias ◽  
Faizal Madya
Keyword(s):  
Data Analysis ◽  
Performance Appraisal ◽  
Swot Analysis ◽  
Employee Performance ◽  
Evaluation Process ◽  
Assessment Task ◽  
Study Approach ◽  
Analysis Technique ◽  
Leadership Competence

The purpose of the study was to analyze the identification of the process in the SWOT strategy which was carried out in improving employee performance appraisal, at the Karel Sadsuitubun Airport Organizing Unit office. This research is qualitative research with a focused case study approach. Data was collected through in-depth open interviews, observation, and documentation. The data analysis technique is limited by using SWOT analysis (Strength, Weaknesses, Opportunities, and Threats Analysis) so that the structure and strategic level of these factors can be known. From the results of data presentation and data analysis, it can be concluded that the performance appraisal of officers at Karel Sadsuitubun Airport has referred to the applicable regulations and in terms of improving Leadership Competence in carrying out the assessment, it is carried out through training or workshops.Keywords: Evaluation, Process, Assessment, Task Achievement

scholarly journals Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation

2020 ◽  
Vol 10 (2) ◽  
pp. 570 ◽  
Author(s):  
Daiho Uhm ◽  
Jea-Bok Ryu ◽  
Sunghae Jun
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Bayesian Inference ◽  
Prior Knowledge ◽  
Interval Estimation ◽  
Patent Data ◽  
Domain Experts ◽  
Technology Analysis ◽  
Patent Documents

Technology analysis is one of the important tasks in technology and industrial management. Much information about technology is contained in the patent documents. So, patent data analysis is required for technology analysis. The existing patent analyses relied on the quantitative analysis of the collected patent documents. However, in the technology analysis, expert prior knowledge should also be considered. In this paper, we study the patent analysis method using Bayesian inference which considers prior experience of experts and likelihood function of patent data at the same time. For keyword data analysis, we use Bayesian predictive interval estimation with count data distributions such as Poisson. Using the proposed models, we forecast the future trends of technological keywords of artificial intelligence (AI) in order to know the future technology of AI. We perform a case study to provide how the proposed method can be applied to real areas. In this paper, we retrieve the patent documents related to AI technology, and analyze them to find the technological trend of AI. From the results of AI technology case study, we can find which technological keywords are more important or critical in the entire structure of AI industry. The existing methods for patent keyword analysis were depended on the collected patent documents at present. But, in technology analysis, the prior knowledge by domain experts is as important as the collected patent documents. So, we propose a method based on Bayesian inference for technology analysis using the patent documents. Our method considers the patent data analysis with the prior knowledge from domain experts.

scholarly journals Challenge for Planning by Using Cluster Methodology: The Case Study of the Algarve Region

2020 ◽  
Vol 12 (4) ◽  
pp. 1536 ◽  
Author(s):  
David Bienvenido-Huertas ◽  
Fátima Farinha ◽  
Miguel José Oliveira ◽  
Elisa M. J. Silva ◽  
Rui Lança
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Data Analysis ◽  
Subject Area ◽  
Environmental Indicators ◽  
Sustainability Indicators ◽  
Analysis Approach ◽  
Data Set ◽  
Indicator Approach

This study analyses the most appropriate methodology to make similarity classifications among the cities of the Algarve (Portugal) according to 105 sustainability indicators monitored with the Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE). The methodology used to establish the similarities was the cluster analysis with 4 different approaches which reduced the dimensions of the data set: total approach, pillar approach, subject area approach, and indicator approach. By combining the approaches, a total of 620 different cluster analyses were performed. The results reflected that the data analysis approaches with less dimensions were those that performed the best groups among cities. In this sense, the approaches with a high number of indicators (e.g., the total or the pillar approach) were characterised by misclassifying cities in more than 30% of the indicators. Thus, the most acceptable cluster analysis approach was that with a low number of indicators. Through this approach, it was possible to make correct groups of the sustainability level of the cities of the Algarve. These results provided an appropriate methodology for the decision-making regarding the sustainability of a region and could be extrapolated to other regions to assess sustainability or environmental indicators.

Teaching Computer Based Historical Data Analysis

1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris
Keyword(s):  
Data Analysis ◽  
Social History ◽  
Historical Data ◽  
Good Practice ◽  
Computer Assisted ◽  
Historical Data Analysis ◽  
University Of Edinburgh ◽  
Computer Based ◽  
The University

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.

KAJIAN PENYELENGGARAAN PAUD DI KOTA BANJARMASIN DITINJAU DARI ASPEK PERENCANAAN

2018 ◽  
Vol 2 (2) ◽  
pp. 159
Author(s):  
Lisna Sulinar Sari
Keyword(s):  
Early Childhood ◽  
Data Analysis ◽  
Early Childhood Education ◽  
Educational Needs ◽  
Needs Analysis ◽  
Case Study Approach ◽  
Childhood Education ◽  
Study Approach ◽  
Early Childhood Institutions

Abstrak: Permasalahan dalam penelitian ini yaitu dari jumlah lembaga PAUD yang ada diKota Banjarmasin belum semuanya memiliki perencanaan khususnya pada analisispeningkatan legalitas kelembagaan PAUD dan analisis kebutuhan pendidikan untuk anak usiadini (AUD). Penelitian ini menggunakan pendekatan studi kasus dengan analisis data deskrtifkuantitatif dan kualitataif. Hasil studi menunjukkan bahwa: i) Disdik Kota Banjarmasin danLembaga PAUD sampel tidak melakukan perencanaan yang baik untuk pendataan analisiskebutuhan pendidikan AUD; ii) Belum semua lembaga PAUD sampel memiliki izinoperasional dikarenakan adanya persyaratan yang belum dapat dipenuhi karena memerlukanbiaya yang cukup besar seperti, pembuatan akta notaris; iii) Belum semua lembaga PAUDmemiliki sarpras sesuai dengan pedoman sarana dan prasarana dari pusat; iv) untuk membantuketersediaan sarpras, Disdik Kota Banjarmasin sudah mengalokasikan dana APBD II berupabantuan RKB, rehab kelas rusak ringan dan berat, serta bantuan APE Dalam dan Luar berupabarang. Abstract: The problem in this study is from the number of early childhood institutions in thecity of Banjarmasin not all have plans in particular to the analysis of institutional legalityincrease early childhood education and educational needs analysis for early childhood (AUD).This study uses a case study approach to data analysis of quantitative and qualitative deskrtif.The study shows that: i) Disdik Banjarmasin and Institutions ECD sample is not doing betterplanning for data analysis AUD educational needs; ii) Not all the samples of early childhoodinstitutions have an operating permit because of the requirements can not be met because itrequires significant costs such as notary deed; iii) Not all early childhood institutions haveinfrastructure accordance with the guidelines of the central infrastructure; iv) to assist theavailability infrastructure, Disdik Banjarmasin already allocated budget II in the form ofclassroom assistance, rehabilitation of damaged light and heavy classes, as well as the In andOut APE assistance in the form of goods.

EVALUASI PROGRAM/PROYEK PENGEMBANGAN KAWASAN EKONOMI KHUSUS SEI MANGKE DALAM RANGKA PELAKSANAAN KEBIJAKAN MP3EI 2011-2025 DI KORIDOR EKONOMI SUMATERA

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Firrean Firrean
Keyword(s):  
Local Government ◽  
Evaluation Process ◽  
Spatial Arrangement ◽  
Policy Program ◽  
Evaluative Research ◽  
Policy Optimization ◽  
Economic Zones ◽  
North Sumatra

Special Economic Zones (SEZ) is a region with certain limits within the jurisdiction of Indonesia which is set to perform economic functions and obtain certain facilities. One SEZ developed in North Sumatra Province and included in the National Strategic Area (KSN) Medan - Binjai - Deli Serdang - Karo is SEZ Sei Mangke. SEZ Sei Mangke is defined in PP 29 of 2012 on 27 February 2012 and is the first KEK in Indonesia which was inaugurated its operation by President Joko Widodo on January 27, 2015. KSN Mebidangro itself is an area of priority spatial arrangement because it has a very important influence nationally against state sovereignty, defense and state security, economic, social, cultural, and / or environment, including areas designated as world heritage. This research is an evaluative research intended to find out the end of a policy program in order to determine recommendation of last policy by using CIPO model which includes four stages: (1) context, (2) input, (3) process, and (4) output. The research method used is case study by applying qualitative research that aims to make an accurate interpretation of the characteristics of the object under study. Findings on the evaluation context indicate that the program is generally running well, but some aspects of synergy and policy optimization as well as financing support from central and local government need to be improved. In the input evaluation, and evaluation process some aspects need to be improved because the findings show the weakness of some aspects is the result of lack of synergy and optimization of policy and support from local government. Interesting from the evaluation of ouput is that with some weaknesses in the input and process components, it turns out the evaluation findings ouput show Seek Mangke SEZ development can still run well. The recommendation of this research is to improve the quality of policy synergy / program of SEZ Seek development by improving several aspects that are categorized in each stage of evaluation

A Roadmap to Sequence Assembly Evaluation Tools

2020 ◽  
Vol 15 ◽  
Author(s):  
Sara El-Metwally ◽  
Eslam Hamouda ◽  
Mayada Tarek
Keyword(s):  
Data Analysis ◽  
Evaluation Process ◽  
Sequence Assembly ◽  
Assessment Tools ◽  
Accurate Information ◽  
End User ◽  
Evaluation Tools ◽  
Assembly Evaluation ◽  
Assembly Pipeline ◽  
Evaluation Approaches

: The assembly evaluation process is the starting step towards meaningful downstream data analysis. We need to know how much accurate information is included in an assembled sequence before going further to any data analysis stage. Four basic metrics are targeted by different assembly evaluation tools: contiguity, accuracy, completeness, and contamination. Some tools evaluate these metrics based on comparing the assembly results to a closely related reference. Others utilize different types of heuristics to overcome the missing of a guiding reference, such as the consistency between assembly results and sequencing reads. In this paper, we discuss the assembly evaluation process as a core stage in any sequence assembly pipeline and present a roadmap that is followed by most assembly evaluation tools to assess different metrics. We highlight the challenges that currently exist in the assembly evaluation tools and summarize their technical and practical details to help the end-users choose the best tool according to their working scenarios. To address the similarities/differences among different assembly assessment tools, including their evaluation approaches, metrics, comprehensive nature, limitations, usability and how the evaluated results are presented to the end-user, we provide a practical example for evaluating Velvet assembly results for S. aureus dataset from GAGE competition. A Github repository (https://github.com/SaraEl-Metwally/Assembly-Evaluation-Tools) is created for evaluation result details along with their generated command line parameters.

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