scholarly journals An Immune Evolutionary Algorithm with Punishment Mechanism for Public Procurement Expert Selection

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lijun Shen ◽  
Zhineng Hu
Keyword(s):  
Evolutionary Algorithm ◽  
Selection Process ◽  
Public Procurement ◽  
Real Life ◽  
Research Attention ◽  
The Past ◽  
Expert Selection ◽  
Punishment Mechanism ◽  
Better Than ◽  
Immune Evolutionary Algorithm

In the past decade, fairness in public procurement expert selection has attracted research attention. This paper proposes an immune evolutionary algorithm (IEA) with a punishment mechanism for expert selection, in which an ordered weighted aggregation (OWA) operator is applied to adjust the score weights to reduce expert evaluation committee abuse discretion and Grubbs method is employed to test the outliers. The results from a real-life public procurement case demonstrated that the abnormal experts could be effectively suppressed during the selection process and that the proposed method performed better than either the random selection algorithm or IEA, neither of which considers a punishment mechanism. Therefore, the proposed method, which applied the abnormal data detected in the scoring process to the expert selection process with a punishment mechanism, was proven to be effective in solving public procurement problems that may have doubtful or abnormal experts.

Reduced the Risk in Agriculture Management for Government Using Support Vector Regression with Dynamic Optimization Parameters

2017 ◽  
Vol 15 (2) ◽  
pp. 243-261 ◽  
Author(s):  
Chien-Pang Lee
Keyword(s):  
Agricultural Policy ◽  
Real Life ◽  
Agricultural Management ◽  
Support Vector ◽  
The Past ◽  
Real Life Data ◽  
Proposed Model ◽  
Optimization Parameters ◽  
Agriculture Management ◽  
Better Than

A good agricultural policy can reduce the risk of agricultural management. In the past, the traditional statistical methods were always used for assisting agricultural management. However, the assumptions of traditional methods might not fit for real life data, that would affect the decision of agricultural management. For this reason, this paper uses big data analysis to propose a novel prediction model without any assumption to forecast agricultural output for reducing the risk. According to the result, the proposed model is better than the existing models in terms of prediction accuracy. Accordingly, the proposed model can be suggested for reducing the risk of agricultural management of government.

Google Hangout with Annie Baker, Playwright 1/25/16, 2:33 PM

2016 ◽  
Vol 69 (4) ◽  
pp. 57-64
Author(s):  
Genevieve Yue
Keyword(s):  
New York ◽  
New England ◽  
Selection Process ◽  
Pulitzer Prize ◽  
Film Festival ◽  
The Past

Genevieve Yue interviews playwright Annie Baker, whose Pulitzer Prize–winning play The Flick focuses on the young employees of a single-screen New England movie house. Baker is one of the most critically lauded playwrights to emerge on the New York theater scene in the past ten years, in part due to her uncompromising commitment to experimentation and disruption. Baker intrinsically understands that arriving at something meaningful means taking a new way. Accordingly, Baker did not want to conduct a traditional interview for Film Quarterly. After running into each other at a New York Film Festival screening of Chantal Akerman's No Home Movie (2015)—both overwhelmed by the film—Yue and Baker agreed to begin their conversation by choosing a film neither of them had seen before and watching it together. The selection process itself led to a long discussion, which led to another, and then finally, to the Gmail hangout that forms the basis of the interview.

Implementasi Algoritma Hamming Distance dan Brute Force dalam Mendeteksi Kemiripan Source Code Bahasa Pemrograman C

2017 ◽  
Vol 8 (2) ◽  
Author(s):  
Andreas Budiman ◽  
Dennis Gunawan ◽  
Seng Hansun
Keyword(s):  
College Presidents ◽  
Hamming Distance ◽  
Source Code ◽  
Structural Type ◽  
Brute Force ◽  
Important Thing ◽  
The Past ◽  
Index Terms ◽  
Better Than

Plagiarism is a behavior that causes violence of copyrights. Survey shows 55% of college presidents say that plagiarism in students’ papers has increased over the past 10 years. Therefore, an application for detecting plagiarism is needed, especially for teachers. This plagiarism checker application is made by using Visual C# 2010. The plagiarism checker uses hamming distance algorithm for matching line code of the source code. This algorithm works by matching the same length string of the code programs. Thus, it needs brute will be matched with hamming distance. Another important thing for detecting plagiarism is the preprocessing, which is used to help the algorithm for detecting plagiarized source code. This paper shows that the application works good in detecting plagiarism, the hamming distance algorithm and brute force algorithm works better than levenstein distance algorithm for detecting structural type of plagiarism and this thesis also shows that the preprocessing could help the application to increase its percentage and its accuracy. Index Terms—Brute Force, Hamming Distance, Plagiarisme, Preprocessing.

Ways of Being and Time

2017 ◽  
Author(s):  
Kris McDaniel
Keyword(s):  
Being And Time ◽  
Present Moment ◽  
Ontological Pluralism ◽  
The Past ◽  
Mode Of Being ◽  
Ways Of Being ◽  
Better Than

This chapter develops a version of ontological pluralism that respects two common intuitions about time: that the present moment is metaphysically distinguished but not in such a way that the past is unreal. The version of ontological pluralism developed—presentist existential pluralism (PEP)—embraces two modes of being, the mode of being that present objects enjoy and the mode of being that past objects enjoy. The author argues that this view fares at least as well, and probably better, than other views in which the present is metaphysically distinguished. The chapter also introduces another form of ontological superiority called “levels of being.”

The Economics of Government

2020 ◽  
Author(s):  
Vito Tanzi
Keyword(s):  
Public Finance ◽  
Public Sector ◽  
Social Welfare ◽  
Real Life ◽  
Rent Seeking ◽  
Major Conclusion ◽  
The Public ◽  
The Past ◽  
Private Market

This book deals with practical or real life aspects of public finance. It focuses on the growth in the activities of governments, in a world that expects more than in the past from governments. The book focuses on the growing complexity in both the work of the private market and that of the public sector. It stresses that part of the growing complexity is due to the more ambitious role that governments tried to play today, while part is due to choices made by governments, so that complexity may be partly avoidable. This was important in the different pursuit of social welfare by different countries. Complexity has increased opportunities for abuses, for rent seeking, and for mistakes in policies. It may also have increased the attraction of populist policies that claim to offer magical or easy solutions to problems. A major conclusion of the book is that the objective of simplicity in laws and in policies should be given more importance by both economists and governments.

scholarly journals An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem

OR Spectrum ◽  
2021 ◽  
Author(s):  
Adejuyigbe O. Fajemisin ◽  
Laura Climent ◽  
Steven D. Prestwich
Keyword(s):  
Real Life ◽  
Forest Harvesting ◽  
Cutting Stock Problem ◽  
Cutting Stock ◽  
Decomposition Approach ◽  
New Class ◽  
Bilevel Problem ◽  
Programming Techniques ◽  
Bilevel Problems ◽  
Better Than

AbstractThis paper presents a new class of multiple-follower bilevel problems and a heuristic approach to solving them. In this new class of problems, the followers may be nonlinear, do not share constraints or variables, and are at most weakly constrained. This allows the leader variables to be partitioned among the followers. We show that current approaches for solving multiple-follower problems are unsuitable for our new class of problems and instead we propose a novel analytics-based heuristic decomposition approach. This approach uses Monte Carlo simulation and k-medoids clustering to reduce the bilevel problem to a single level, which can then be solved using integer programming techniques. The examples presented show that our approach produces better solutions and scales up better than the other approaches in the literature. Furthermore, for large problems, we combine our approach with the use of self-organising maps in place of k-medoids clustering, which significantly reduces the clustering times. Finally, we apply our approach to a real-life cutting stock problem. Here a forest harvesting problem is reformulated as a multiple-follower bilevel problem and solved using our approach.

scholarly journals Design aspects of (super)hydrophobic mesh based oil-collecting device with improved efficiency

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Weikang Xu ◽  
Zhentao Zhang ◽  
Xiaomei Cai ◽  
Yazhen Hong ◽  
Tianliang Lin ◽  
...  
Keyword(s):  
3D Printing ◽  
Water Surface ◽  
High Performance ◽  
Oil Spills ◽  
Real Life ◽  
Oily Wastewater ◽  
Coating Materials ◽  
The Past ◽  
Oil Storage ◽  
Future Success

AbstractEffective treatment of frequent oil spills and endless discharged oily wastewater is crucial for the ecosystem and human health. In the past two decades, the collection of oil from water surface has been widely studied through the simple fabrication of superhydrophobic meshes with various coating materials, but little attention is paid to the design aspects of the meshes based oil-collecting device and practical oil collection. Here, 3D-printing devices with different configurations of (super)hydrophobic meshes, circular truncated cone (CTC), cylinder and inverted CTC, and the same inverted cone-shaped structure (below the meshes for temporary oil storage) are investigated. Results demonstrate that the CTC meshes based device especially for an oblate one not only shows higher stability and discharge of the collected oils than previous reports, but also allows floating oils to enter the (super)hydrophobic mesh faster. We anticipate that future success in developing high-performance (super)hydrophobic meshes and the further optimization of the CTC mesh-based device parameters will make our proposed device more practical for the treatment of real-life oil spills.

scholarly journals An Universal, Simple, Circular Statistics-Based Estimator of α for Symmetric Stable Family

2019 ◽  
Vol 12 (4) ◽  
pp. 171
Author(s):  
Ashis SenGupta ◽  
Moumita Roy
Keyword(s):  
Entire Range ◽  
Goodness Of Fit ◽  
Stable Distribution ◽  
Real Life ◽  
Circular Statistics ◽  
Directional Statistics ◽  
Symmetric Stable Distribution ◽  
Stable Family ◽  
Family Of Distributions ◽  
Better Than

The aim of this article is to obtain a simple and efficient estimator of the index parameter of symmetric stable distribution that holds universally, i.e., over the entire range of the parameter. We appeal to directional statistics on the classical result on wrapping of a distribution in obtaining the wrapped stable family of distributions. The performance of the estimator obtained is better than the existing estimators in the literature in terms of both consistency and efficiency. The estimator is applied to model some real life financial datasets. A mixture of normal and Cauchy distributions is compared with the stable family of distributions when the estimate of the parameter α lies between 1 and 2. A similar approach can be adopted when α (or its estimate) belongs to (0.5,1). In this case, one may compare with a mixture of Laplace and Cauchy distributions. A new measure of goodness of fit is proposed for the above family of distributions.

Taking Peritoneal Dialysis beyond the Year 2000

1999 ◽  
Vol 19 (3_suppl) ◽  
pp. 35-42 ◽  
Author(s):  
Ram Gokal
Keyword(s):  
Peritoneal Dialysis ◽  
Peritoneal Membrane ◽  
Membrane Function ◽  
Fluid Removal ◽  
The Past ◽  
First Choice ◽  
Year 2000 ◽  
Economic Considerations ◽  
Appropriate Prescription ◽  
Better Than

Over the past 25 years, peritoneal dialysis (PD) has steadily improved so that now its outcomes, in the form of patient survival, are equivalent to, and at times better than, those for hemodialysis. We now have a better understanding of the pathophysiology of peritoneal membrane function and damage and the importance of appropriate prescription to meet agreed-upon targets of solute and fluid removal. In the next millennium, greater emphasis will be put on prescription setting and subsequent monitoring. This will entail an increase in automated PD, especially for lifestyle reasons as well as for patients with a hyperpermeable peritoneal membrane. To improve outcomes, dialysis should be started earlier than is currently the case. It is easy to do this with PD, where an incremental approach is made easier by the introduction of icodextrin for long-dwell PD. In the future, solutions will be tailored to be more biocompatible and to provide improved nutrition and better cardiovascular outcomes. Finally, economic considerations favor PD, which is cheaper than in-centre hemodialysis. Thus, for many, PD has become a first-choice therapy, and with further improvements this trend will continue.

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