scholarly journals An Optimization Method for Entity Resolution in Databases: With a Case Study on the Cleaning of Scientific References in Patent Databases

2020 ◽  
Author(s):  
Emiel Caron
Keyword(s):  
Entity Resolution ◽  
Optimization Method

A Novel Structural Optimization Method and a Case Study Based on a CHS X-Joint

2021 ◽  
Author(s):  
Xingqi Liu ◽  
Weitong Yi ◽  
Hailin Sun ◽  
Lei Zhu ◽  
Xi Chen
Keyword(s):  
Structural Optimization ◽  
Optimization Method

scholarly journals Two-Phase Optimization Method for Determining Distribution Center Locations and Distribution Routes (Case Study: X Ltd.)

2020 ◽  
Vol 0 (5) ◽  
pp. 45
Author(s):  
Muhammad Rayhan Azzindani ◽  
Nabila Fajri Kusuma Ningrum ◽  
Mega Rizkah Sudiar ◽  
Anak Agung Ngurah Perwira Redi
Keyword(s):  
Optimization Method ◽  
Distribution Center ◽  
Two Phase ◽  
Phase Optimization

scholarly journals Random adjustment - based Chaotic Metaheuristic algorithms for image contrast enhancement

2017 ◽  
Vol 10 (2) ◽  
pp. 67
Author(s):  
Vina Ayumi ◽  
L.M. Rasdi Rere ◽  
Mohamad Ivan Fanany ◽  
Aniati Murni Arymurthy
Keyword(s):  
Contrast Enhancement ◽  
Harmony Search ◽  
Search Space ◽  
Optimization Method ◽  
Large Solution ◽  
Swarm Optimization ◽  
Image Contrast Enhancement ◽  
Simulation Results ◽  
Better Than

Metaheuristic algorithm is a powerful optimization method, in which it can solve problemsby exploring the ordinarily large solution search space of these instances, that are believed tobe hard in general. However, the performances of these algorithms signicantly depend onthe setting of their parameter, while is not easy to set them accurately as well as completelyrelying on the problem's characteristic. To ne-tune the parameters automatically, manymethods have been proposed to address this challenge, including fuzzy logic, chaos, randomadjustment and others. All of these methods for many years have been developed indepen-dently for automatic setting of metaheuristic parameters, and integration of two or more ofthese methods has not yet much conducted. Thus, a method that provides advantage fromcombining chaos and random adjustment is proposed. Some popular metaheuristic algo-rithms are used to test the performance of the proposed method, i.e. simulated annealing,particle swarm optimization, dierential evolution, and harmony search. As a case study ofthis research is contrast enhancement for images of Cameraman, Lena, Boat and Rice. Ingeneral, the simulation results show that the proposed methods are better than the originalmetaheuristic, chaotic metaheuristic, and metaheuristic by random adjustment.

Wedge Bond Process Optimization Method for 1.5 mil Al Wire on Al Bond Pad

2015 ◽  
Vol 2015 (1) ◽  
pp. 000413-000418
Author(s):  
Wenjuan Qi ◽  
Daniel D. Evans
Keyword(s):  
Process Development ◽  
Optimization Method ◽  
Black Ring ◽  
Basic Relationship ◽  
Force Time ◽  
Bond Pads ◽  
Wedge Bonding ◽  
The Relationship ◽  
Inputs And Outputs

Modern wedge bonders have evolved since their early inception in 1957. This paper will review the common challenges process engineers face when selecting a wedge bond machine configuration and developing robust processes. Wedge bond cases presented will show the tradeoff between process inputs and the resulting bond shapes, bond appearance of black ring, burrs, pull results, etc. The purpose of this work was to optimize the process outputs: bond shape, black ring, burrs, and pulls on a die with aluminum bond pads. Process inputs included Force, Time, and Ultrasonic Level. An aluminum wafer was used to understand the basic relationship between process parameter inputs and outputs. The learning was then applied to a die with aluminum bond pads. Examples of non-compliance and compliance will be shown to help process engineers evaluate wedge bonds and make refinements. The case studied was for an aluminum bond pad/Al wafer and 1.5 mil aluminum wire interaction that creates burrs around the bond (wire to pad interface), black ring on the bond periphery (wedge tool to wire interface) and the resulting pulls. Both the graphical and numerical results of the case study have clearly demonstrated the relationship between the typical process inputs and outputs, particularly bond shape, burrs, black ring and pulls. The findings in this study will provide a general guideline and a troubleshooting reference for wedge bonding process development.

scholarly journals Comparison of the Economic and Environmental Performance of V2H and Residential Stationary Battery: Development of a Multi-Objective Optimization Method for Homes of EV Owners

2019 ◽  
Vol 10 (4) ◽  
pp. 78
Author(s):  
Ryosuke Kataoka ◽  
Akira Shichi ◽  
Hiroyuki Yamada ◽  
Yumiko Iwafune ◽  
Kazuhiko Ogimoto
Keyword(s):  
Electric Vehicles ◽  
Environmental Performance ◽  
Optimization Method ◽  
Energy Costs ◽  
Multi Objective Optimization ◽  
Environmental Aspects ◽  
Multi Objective ◽  
Investment Cost ◽  
Detached House

The use of batteries of electric vehicles (EVs) for home electricity applications using a bidirectional charger, a process called vehicle-to-home (V2H), is attracting the attention of EV owners as a valuable additional benefit of EVs. To motivate owners to invest in V2H, a quantitative evaluation to compare the performance of EV batteries with that of residential stationary batteries (SBs) is required. In this study, we developed a multi-objective optimization method for the household of EV owners using energy costs including investment and CO2 emissions as indices and compared the performances of V2H and SB. As a case study, a typical detached house in Japan was assumed, and we evaluated the economic and environmental aspects of solar power self-consumption using V2H or SB. The results showed that non-commuting EV owners should invest in V2H if the investment cost of a bidirectional charger is one third of the current cost as compared with inexpensive SB, in 2030. In contrast, our results showed that there were no advantages for commuting EV owners. The results of this study contribute to the rational setting of investment costs to increase the use of V2H by EV owners.

scholarly journals Optimization of Deflection of a Big NEO through Impact with a Small One

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Kaijian Zhu ◽  
Weiping Huang ◽  
Yuncai Wang ◽  
Wei Niu ◽  
Gongyou Wu
Keyword(s):  
Small Body ◽  
Optimization Method ◽  
Optimization Process ◽  
Earth Object

Using a small near-Earth object (NEO) to impact a larger and potentially threatening NEO has been suggested as an effective method to avert a collision with Earth. This paper develops a procedure for analysis of the technique for specific NEOs. First, an optimization method is used to select a proper small body from the database. Some principles of optimality are achieved with the optimization process. Then, the orbit of the small body is changed to guarantee that it flies toward and impacts the big threatening NEO. Kinetic impact by a spacecraft is chosen as the strategy of deflecting the small body. The efficiency of this method is compared with that of a direct kinetic impact to the big NEO by a spacecraft. Finally, a case study is performed for the deflection of the Apophis NEO, and the efficiency of the method is assessed.

scholarly journals Optimizing Bus Line Based on Metro-Bus Integration

2020 ◽  
Vol 12 (4) ◽  
pp. 1493 ◽  
Author(s):  
Junjun Wei ◽  
Kejun Long ◽  
Jian Gu ◽  
Qingling Ju ◽  
Piao Zhu
Keyword(s):  
Resource Allocation ◽  
Optimization Model ◽  
Geographical Location ◽  
Optimization Method ◽  
Line Number ◽  
Competition And Cooperation ◽  
Travel Efficiency ◽  
Geographical Space ◽  
Metro System

Metros are usually built and added on the basis of a completed bus network in Chinese cities. After the metro construction, it is faced with the problem of how to adjust and optimize the original bus lines based on the new metro system. This research mainly proposes a bus line optimization method based on bus and metro integration. In the consideration of the geographical space, the cooperation and competition relationship between bus and metro lines is qualitatively introduced according to the geographical location and service range of metro (800 m radius) and bus (500 m radius) stations. The competition and cooperation indexes are applied to define the co-opetition relationship between bus and metro lines. The bus line optimization model is constructed based on the co-opetition coefficient and Changsha Metro Line Number 2 is chosen as a case study to verify the optimization model. The results show that the positive competition, efficient cooperation, and travel efficiency between metro and bus has been significantly enhanced after optimization. Moreover, this paper provides a reasonable reference for public transport network planning and resource allocation.

Research on Optimization of Ground-Coupled Heat Pump Systems under Specific Constraint Conditions

2014 ◽  
Vol 953-954 ◽  
pp. 673-679
Author(s):  
Yang Yang Wang ◽  
Ping Fang Hu ◽  
Fei Lei ◽  
Na Zhu ◽  
Tian Hua Wu ◽  
...  
Keyword(s):  
Heat Pump ◽  
Optimization Problem ◽  
Design Method ◽  
Optimization Method ◽  
Simulation Software ◽  
Design Parameters ◽  
Decision Variable ◽  
Economic Optimization ◽  
Ground Coupled Heat Pump

A design method for ground-coupled heat pump (GCHP) systems with specific constraint conditions is proposed. The total borehole number, borehole depth, borehole space and average velocity of fluid in the U-tube are considered as variables in the optimization problem. The optimization problem of four variables is transformed into that of single decision variable. A case study, which includes different schemes for designing GCHP systems of an office building and the corresponding economic analysis, is performed with the aid of simulation software. The result shows that optimal design parameters could be found in an economic optimization problem with specific constraint conditions. Additionally, design parameters may have a notable influence on the energy consumption of circulating pumps. The optimization method in this paper could be utilized by engineering designers for reference.

An Optimization Method of Heat Exchanger Network for Non-Fixed Investment Costs

2012 ◽  
Vol 516-517 ◽  
pp. 135-139
Author(s):  
Xiang Bai Hu ◽  
Guo Min Cui ◽  
Hai Zhu Xu ◽  
Jin Yang Wang
Keyword(s):  
Heat Exchanger ◽  
Local Minimum ◽  
Optimization Method ◽  
Industrial Applications ◽  
Optimization Process ◽  
Fixed Investment ◽  
Heat Exchanger Network ◽  
Innovative Method ◽  
Minimum Solution

In order to overcome the difficulty of easily falling into the local minimum solution during the optimization process of heat exchanger network which is not considered fixed investment costs, an innovative method was presented. The total areas of local minimum solution were distributed equally, and then the distributed areas were assigned to initial areas for further optimization. The better local minimum solution was sought out after jumping out of local minimum solution. Through some case study, it presents that this optimization method is able to obtain better optimization results which is more suitable to industrial applications.

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