• Kyungpook Mathematical Journal
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• 제57권3호
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• pp.441-455
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• 2017

In this article we have determined the spectrum and fine spectrum of the lower triangular matrix B(r, s) on the Hahn sequence space h. We have also determined the approximate point spectrum, the defect spectrum and the compression spectrum of the operator B(r, s) on the sequence space h.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.166-171
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• 1996

Generally, when we control the robot, we should calculate exactly Inverse Kinematics. However, Inverse Kinematics calculation is complex and it takes much time for the manipulator to control in real-time. Therefore, the calculation of Inverse Kinematics can result in significant control delay in real time. In this paper, we will present that Inverse Kinematics can be calculated through Fuzzy Logic Mapping, Based on an exact solution through fuzzy reasoning instead of Inverse Kinematics calculation Also, the result provides sufficient precision and transient tracking error can be controlled based on a fuzzy adaptive scheme proposed in this paper. Based on the Denavit-Hartenberg parameters specification, after the Jacobian matrix of arbitrary manipulator is calculated, we will construct Fuzzy Inverse Kinematics Mapping(FIKM) using fuzzy logic and represent a good control efficiency through simulation of 2-DOF manipulator.

• Korean Journal of Mathematics
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• 제28권2호
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• pp.361-378
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• 2020

The most apparent aspect of the present study is to introduce a new sequence space 𝚽^⋆(𝓛_p) derived by double Euler-Totient matrix operator. We examine its topological and algebraic properties and give an inclusion relation. In addition to those, the α-, β(bp)- and γ-duals of the space 𝚽^⋆(𝓛_p) are determined and finally, some 4-dimensional matrix mapping classes related to this space are characterized.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.729-740
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• 2020

The study examines the efficiency of private sector banks in India with the help of Window DEA (Data Envelopment Analysis) for a period from 2005 to 2017. With a window of three years, the period was divided into 11 windows. The study outcomes show that 59.9% of all private sector banks in India operate at more than 0.9 level of efficiency, and there are only three occasions when banks were operating at the efficiency value between 0.6 to 0.7. Further, the consistency in the efficiency scores of the banks has also been analyzed using an efficiency mapping matrix, and the mean efficiency score of the bank in each window is studied. The score of standard deviation was interpreted accordingly for these banks. Banks that are showing the highest efficiency scores also have a higher variance of efficiency scores. There was no bank identified in the matrix that promises high-efficiency ratings with low variability. The study concludes that the analysis of the efficiency mapping matrix indicates that, as a DMU escalates in the efficiency scores, the standard deviation reflecting the risk in overall efficiency scores also tends to rise. The findings complement the concept of higher risk to higher return or greater efficiency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.3962-3980
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• 2019

To deal with single sample face recognition, this paper presents a patch based semi-supervised linear regression (PSLR) algorithm, which draws facial variation information from unlabeled samples. Each facial image is divided into overlapped patches, and a regression model with mapping matrix will be constructed on each patch. Then, we adjust these matrices by mapping unlabeled patches to $[1,1,{\cdots},1]^T$. The solutions of all the mapping matrices are integrated into an overall objective function, which uses ${\ell}_{2,1}$-norm minimization constraints to improve discrimination ability of mapping matrices and reduce the impact of noise. After mapping matrices are computed, we adopt majority-voting strategy to classify the probe samples. To further learn the discrimination information between probe samples and obtain more robust mapping matrices, we also propose a multistage PSLR (MPSLR) algorithm, which iteratively updates the training dataset by adding those reliably labeled probe samples into it. The effectiveness of our approaches is evaluated using three public facial databases. Experimental results prove that our approaches are robust to illumination, expression and occlusion.

• Journal of the Korean Data and Information Science Society
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• 제21권3호
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• pp.387-395
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• 2010

인간의 질병 및 가축의 특성치에 관한 유전자 규명은 매우 중요한 과제이다. 유전자원 보존과 유전능력향상을 위한 기술 개발 역시 매우 중요한 관심사로써 이와 관련된 많은 연구들을 진행해왔다. 통계모형의 상호작용 효과를 분석하기 위해 로지스틱 회귀분석과 같은 전통적인 방법과 비모수적인 방법들이 개발되었지만 이들은 상호작용에 영향을 준 양적형질위치들의 하위 집단의 유전자형에 대해서 고려하지 않은 문제점이 있다. 따라서 많은 양적형질위치들을 한 번에 비교하여 특성치에 영향을 주는 양적형질위치의 상호작용과 그 하위집단인 유전자형을 규명하는 방법으로 유전자형 행렬 맵핑이 개발되었다. 본 연구에서는 EST_based SNP 연관지도에 의해 선정된 17개의 후보 단일염기다형성을 대상으로 유전자 행렬 맵핑을 활용하여 한우의 주요 경제형질인 일당증체량, 도체중, 등심단면적, 근내지방도에 영향을 주는 우수 유전자형 조합을 선별한다. 그리고 선별된 조합에 대해 유전자 행렬 맵핑 방법에서 적용되지 않은 순열검정을 도입함으로써 우수유전자형 조합에 대한 통계적인 유의성을 확인한다.

• 문화기술의 융합
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• 제5권1호
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• pp.395-399
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• 2019

다양한 병렬 컴퓨팅 시스템을 지원하기 위해서는 LLVM IR을 벡터/행렬을 보다 효과적으로 지원할 수 있도록 확장하는 것과 LLVM IR을 machine code로 바꾸어 주는 부분을 새로운 알고리즘으로 설계하여 구현하면 된다. IR 예제에서 보았듯이 기본적으로 RISC 명령어로 구성되어 있기 때문에 RISC 명령어 생성은 자연스럽게 생성되며, 벡터 또한 현재 지원가능한데 행렬 명령어는 지원되지 못하고 있다. 벡터/행렬을 보다 강력하게 지원하기 위한 새로운 IR 구조, 명령어 생성 알고리즘 및 관련 부분의 확장이 필요하다. 이를 위해 LLVM IR의 각 명령어를 (벡터/행렬을 위한) target architecture의 적당한 명령어로 mapping을 해주는 부분 (instruction selection 알고리즘)이 중요하다. LLVM IR 명령어의 의미를 파악하고, target architecture의 각 명령어 의미와 syntax를 비교하여, 패턴이 일치하는 명령어를 선택하여 mapping을 효율적으로 해줘야 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.2991-3007
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• 2022

Two dimensional locality preserving projections (2D-LPP) is an improved algorithm of 2D image to solve the small sample size (SSS) problems which locality preserving projections (LPP) meets. It's able to find the low dimension manifold mapping that not only preserves local information but also detects manifold embedded in original data spaces. However, 2D-LPP is simple and elegant. So, inspired by the comparison experiments between two dimensional linear discriminant analysis (2D-LDA) and linear discriminant analysis (LDA) which indicated that matrix based methods don't always perform better even when training samples are limited, we surmise 2D-LPP may meet the same limitation as 2D-LDA and propose a novel matrix exponential method to enhance the performance of 2D-LPP. 2D-MELPP is equivalent to employing distance diffusion mapping to transform original images into a new space, and margins between labels are broadened, which is beneficial for solving classification problems. Nonetheless, the computational time complexity of 2D-MELPP is extremely high. In this paper, we replace some of matrix multiplications with multiple multiplications to save the memory cost and provide an efficient way for solving 2D-MELPP. We test it on public databases: random 3D data set, ORL, AR face database and Polyu Palmprint database and compare it with other 2D methods like 2D-LDA, 2D-LPP and 1D methods like LPP and exponential locality preserving projections (ELPP), finding it outperforms than others in recognition accuracy. We also compare different dimensions of projection vector and record the cost time on the ORL, AR face database and Polyu Palmprint database. The experiment results above proves that our advanced algorithm has a better performance on 3 independent public databases.

• 보건교육건강증진학회지
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• 제27권2호
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• pp.141-149
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• 2010

Objectives: This paper aims to compare the intervention development steps of the revised PRECEDE-PROCEED model and the Intervention Mapping model. Methods: Concepts and structure of the intervention development step of each model are reviewed with examples. Results: The revised PRECEDE-PROCEED model and the Intervention Mapping model share characteristics in intervention development in employing PRECEDE assessments, applying a social ecological framework and behavior theories for intervention building, emphasizing multi-interventions at multiple levels, and involving stakeholders and existing resources in intervention development. A detailed explanation of the intervention alignment and matrix building is provided with illustration of examples. Conclusion: Intervention development should not be done compartmentally but in line with other steps in a planning model to sustain the program logic. For successful application of planning models for intervention development, solid understanding of the models and behavior theories are required. Multisectoral collaboration is also critical for the successful application.

• 한국보건간호학회지
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• 제35권3호
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• pp.448-468
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• 2021

Objectives: This study aimed to understand the trends and issues of health-related intervention research using Intervention Mapping over the last ten years in South Korea. Intervention Mapping is a representative planning protocol to develop theory-and-evidence-based health promotion programs. Methods: The scoping review method was undertaken, and a total of 20 studies were analyzed using Intervention Mapping six steps. Results: The Korean health-related intervention studies using Intervention Mapping showed low methodological quality. In step 1, only 7 out of 20 studies organized a planning group consisting of various stakeholders. In step 2, about half of the studies did not present a matrix, which is the core essential component of Intervention Mapping. In step 5, only 1 out of 20 studies presented program adopters and maintainers. In step 6, most studies described effect evaluation relatively, but only one study mentioned process evaluation. Conclusions: In order to develop sustainable and cost-effective programs, systematic planning using Intervention Mapping is required from the research planning stage. In addition, a concrete and realistic plan needs to be established for the development of programs and adoption, dissemination and maintenance of programs.