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Genetic Algorithm for Shortest Driving Time in Intelligent Transportation Systems
Chu-Hsing Lin,Jung-Chun Liu,Chia-Han Ho,Jui-Ling Yu,Wei-Shen Lai 보안공학연구지원센터 2009 International Journal of Hybrid Information Techno Vol.2 No.1
The route guidance system, which provides driving advice based on traffic information about an origin and a destination, has become very popular along with the advancement of handheld devices and the global position system. Since the accuracy and efficiency of route guidance depend on the accuracy of the traffic conditions, the route guidance system needs to include more variables in calculation, such as real time traffic flows and allowable vehicle speeds. As variables considered by the route guidance system increase, the cost to compute multiplies. Since handheld devices have limited resources, it is not feasible to use them to compute the exact optimal solutions in real time systems by some well-known algorithm, such as the Dijkstra’s algorithm, which is usually used to find the shortest path with a map of reasonable numbers of vertices. To solve this problem, we propose to use the genetic algorithm to alleviate the rising computational cost. We use the genetic algorithm to find the shortest time in driving with diverse scenarios of real traffic conditions and varying vehicle speeds. The effectiveness of the genetic algorithm is clearly demonstrated when applied on a real map of modern city with very large vertex numbers.
Chih-Hsing Chu,Yu-Wang Liu,Pai-Chia Li,Liao-Chuan Huang,Yuan-Ping Luh 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.5
This study presents a programming by demonstration (PbD) interface in augmented reality for motion planning in a three-axis CNC glue dispenser. The interface assists a human planner to effectively determine dispenser motion in a planning task. An augmented reality application prompts the planner with instructive information in a video of real environment while guiding the machine in 3D space to dispense glue on a work part. The purpose involves facilitating the generation of the dispenser’s motion commands by enhancing individual spatial reasoning between the dispenser’s tip and the work part. CAD models are not required prior to the planning task, thus eliminating the use of motion planning software. Test results demonstrate the effectiveness of the proposed interface with respect to accelerating the process of the dispenser PbD. The study shows the practical value of augmented reality as a cost-effective interfacing technology for human–machine collaborations in smart manufacturing.
Mitigation the Impact and Survive from Extreme Drought of Climate Change and Global Warming
Chien-Hsing Chu,Ching-yuan Lu,Chung-Yan Li,Fang-Lin Liao,Yu-Chi Lee 한국방재학회 2016 Journal of Disaster Management Vol.1 No.2
Tap Water is the lifeline of human existence. Due to the effect of the Climate Change, the world has experienced an uneven distribution of rainfall in recent years, cause of floods or droughts. A series drought broke out in Taipei city gave chance to protect our county and test our reliabilities to citizen. This developments but has also realize the agricultural water should cooperate effectively shift dial [2], active water conservation ordinance relaxed, provide valuable water resources. Water utilities in response to the challenges of extreme drought, should face the New thinking that the difference between the price of water upon request, considering distinguish the dry season and the rainy season in different water, and the water does not hike the basic livelihood of the people; to consider the idea of building “Our sponge cities sponge Taiwan”; avoid low tariff wasted water, or the use of reasonable price adjustments after yearly, water problems can be solved in Taipei area; contributed to the dry season to strengthen water conservation and carbon reduction to achieve the effect or open consumptive water use of large household[2] and strengthen told: the key to sustainable development of water resources, “NO WATER NO FUTURE”.
Design Customization of Respiratory Mask based on 3D Face Anthropometric Data
Chih-Hsing Chu,Szu-Hao Huang,Chih-Kai Yang,Chun-Yang Tseng 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
This study presents a machine learning based method for design customization of a 3D respiratory mask. A parametric model of a3D human face was constructed from an anthropometric database consisting of 495 facial models. An AdaBoost.R algorithm wasapplied to identify a set of measurable parameters most related to the facial geometry. The correlation between parameters wasestimated using principal component analysis and linear regression. With those parameter values as input, the parametric modelgenerates 3D meshes of a human face that serve as a design reference for the construction of a customized respiratory mask of agood fit. We conducted a series of experiments with 10-fold cross-validation to validate the effectiveness of the proposed method.
Precise 5-Axis Grooving of Tire Mold Based on Surface Re-Parameterization
Chih-Hsing Chu,Chih-Hsin Hsu 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
Grooving of tire mold is a complex machining process. The profile of a groove must be precisely formed on the road surface while the machining deviation of the wall surface must meet its design specifications. Previous tool path planning methods driven by optimization of machining errors perform unacceptably because of those restrictions. This paper proposes a new approach for precise 5-axis grooving of tire mold. Surface re-parameterization based on the two curve parameters of a ruled surface is applied to maximize the developability of the wall surface using Particle Swarm Optimization (PSO). The machining errors produced by moving the cutter along the resultant rulings is thus reduced. Grooving of a real tire mold demonstrates the effectiveness of the proposed approach.
Real-World Effectiveness and Safety of SOF/LDV for Pa-tients with Chronic Hepatitis C in Taiwan
( Ching-chu Lo ),( Pin-nan Cheng ),( Chi-yi Chen ),( Chung-feng Huang ),( Hsing-tao Kuo ),( Kuo-chih Tseng ),( Yi-hsiang Huang ),( Chi-ming Tai ),( Cheng-yuan Peng ),( Ming-jong Bair ),( Chien-hung Ch 대한간학회 2021 춘·추계 학술대회 (KASL) Vol.2021 No.1