scholarly journals Looking at Patent Law: Patenting an Electrochemical Nondestructive Corrosion Evaluation System for Ships, Buildings, and Bridges – A Case Study

2021 ◽  
Vol 30 (2) ◽  
pp. 47-52
Author(s):  
E. Jennings Taylor ◽  
Maria Inman
Keyword(s):  
Evaluation System ◽  
Patent Law ◽  
Corrosion Evaluation

scholarly journals Research on feeder network design: a case study of feeder service for the port of Kotka

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Yisong Lin ◽  
Xuefeng Wang ◽  
Hao Hu ◽  
Hui Zhao
Keyword(s):  
Control System ◽  
Numerical Experiment ◽  
Network Design ◽  
Evaluation System ◽  
Real Life ◽  
Objective Evaluation ◽  
Multi Objective Optimization ◽  
Real Life Data ◽  
The Mathematical Model

Abstract By exemplifying the feeder service for the port of Kotka, this study proposed a multi-objective optimization model for feeder network design. Innovative for difference from the single-objective evaluation system, the objective of feeder network design was proposed to include single allocation cost, intra-Europe cargo revenue, equipment balance, sailing cycle, allocation utilization, service route competitiveness, and stability. A three-stage control system was presented, and numerical experiment based on container liner’s real life data was conducted to verify the mathematical model and the control system. The numerical experiment revealed that the three-stage control system is effective and practical, and the research ideas had been applicable with satisfactory effect.

scholarly journals Study on layout optimization of sewage outfalls: a case study of wastewater treatment plants in Xiamen

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Cui Wang ◽  
Zhouhua Guo ◽  
Qingsheng Li ◽  
Jing Fang
Keyword(s):  
Wastewater Treatment ◽  
Water Reuse ◽  
Evaluation System ◽  
Evaluation Method ◽  
Wastewater Treatment Plants ◽  
Comprehensive Evaluation ◽  
Ecological Impact ◽  
Layout Optimization ◽  
Marine Environmental

AbstractIn order to protect the offshore environment and strengthen the comprehensive rectification of sewage outfalls, an evaluation method of regional sewage outfalls by combining the marine numerical simulation and comprehensive evaluation technology was constructed, considering the marine environmental capacity and the ecological impact of sewage discharge from outfalls on the marine eco-environment sensitive areas. Then the layout rationality of each outfall was evaluated and the discharge scale was optimized with a case study of existing sewage outfalls in Xiamen. The results show that, the comprehensive evaluation score of Yundang outfall was 3 points in 2025, evaluated as the outfall with irrational layout. In 2035, the comprehensive evaluation scores of Fenglin and Dalipu outfalls were 3 and 2 points respectively, evaluated as the outfall with irrational discharge scale. It is suggested to control the scale of expansion or increase the reclaimed water reuse rate in Jimei and Gaoqi Wastewater Treatment Plants. This method has enriched the evaluation system for layout optimization of sewage outfalls, providing scientific supports for comprehensive improvement of sewage outfalls and marine environmental management.

An evaluation system for training programs: a case study using a four‐phase approach

2006 ◽  
Vol 11 (4) ◽  
pp. 334-351 ◽  
Author(s):  
Tony Lingham ◽  
Bonnie Richley ◽  
Davar Rezania
Keyword(s):  
Evaluation System ◽  
Training Programs ◽  
Phase Approach

Total Sustainable Evaluation for Road Projects

2021 ◽  
Vol 52 ◽  
pp. 137-148
Author(s):  
Norhan Sayed ◽  
Mohamed Abdel Hamid ◽  
Karim El-Dash
Keyword(s):  
Evaluation System ◽  
Environmental Science ◽  
Social Impacts ◽  
Future Technology ◽  
Surrounding Environment ◽  
The Social ◽  
Project Construction ◽  
Sustainable Evaluation ◽  
Road Projects

Quality of Infrastructure became indispensable to the innovation-driven development. Poor infrastructure quality means more extra costs for operation and maintenance, in addition to un-studied impacts on the surrounding environment and society. To eliminate the bad impacts and the extra costs, sustainability must be applied in all infrastructure projects. Sustainability represents one of the latest degree subjects that have various trials to connect the social science with the engineering and the environmental science with the future technology. The objective of this research is to provide an integrated sustainable evaluation system (ISES) for quantifying all impacts of road projects. The proposed evaluation system took into consideration the different phases of project including construction phase and operational phase. The different impacts of road projects were divided into three main classifications; the project economic costs to include costs of project construction and operation; the environmental impacts; and the social impacts. Furthermore, a real case study was discussed to validate the research methodology, where it was concluded that the environmental and social impacts have the main impact on project decision and according to the ISES value, the case study road has a sustainable impact on the surrounding environment and society.

scholarly journals Evaluating the Suitability of Urban Expansion Based on the Logic Minimum Cumulative Resistance Model: A Case Study from Leshan, China

2019 ◽  
Vol 8 (7) ◽  
pp. 291 ◽  
Author(s):  
Haijun Wang ◽  
Peihao Peng ◽  
Xiangdong Kong ◽  
Tingbin Zhang ◽  
Guihua Yi
Keyword(s):  
Urban Development ◽  
Evaluation System ◽  
Urban Expansion ◽  
Ecological Impacts ◽  
Sustainable Urban Development ◽  
Expansion Process ◽  
Mountain Areas ◽  
Resistance Factors ◽  
Ecological Barriers

This paper focuses on the suitability of urban expansion in mountain areas against the background of accelerated urban development. Urbanization is accompanied by conflict and intense transformations of various landscapes, and is accompanied by social, economic, and ecological impacts. Evaluating the suitability of urban expansion (UE) and determining an appropriate scale is vital to solving urban environmental issues and realizing sustainable urban development. In mountain areas, the natural and social environments are different from those in the plains; the former is characterized by fragile ecology and proneness to geological disasters. Therefore, when evaluating the expansion of a mountain city, more factors need to be considered. Moreover, we need to follow the principle of harmony between nature and society according to the characteristics of mountain cities. Thus, when we evaluate the expansion of a mountain city, the key procedure is to establish a scientific evaluation system and explore the relationship between each evaluation factor and the urban expansion process. Taking Leshan (LS), China—a typical mountain city in the upper Yangtze River which has undergone rapid growth—as a case study, the logic minimum cumulative resistance (LMCR) model was applied to evaluate the suitability of UE and to simulate its direction and scale. The results revealed that: An evaluation system of resistance factors (ESRFs) was established according to the principle of natural and social harmony; the logic resistance surface (LRS) scientifically integrated multiple resistance factors based on the ESRF and a logic regression analysis. LRS objectively and effectively reflected the contribution and impact of each resistance factor to urban expansion. We found that landscape, geological hazards and GDP have had a great impact on urban expansion in LS. The expansion space of the mountain city is limited; the area of suitable expansion is only 23.5%, while the area which is unsuitable for expansion is 39.3%. In addition, it was found that setting up ecological barriers is an effective way to control unreasonable urban expansion in mountain cities. There is an obvious scale (grid size) effect in the evaluation of urban expansion in mountain cities; an evaluation of the suitable scale yielded the result of 90 m × 90 m. On this scale, taking the central district as the center, the urban expansion process will extend to the neighboring towns of Mianzhu, Suji, Juzi and Mouzi. Urban expansion should be controlled in terms of scale, especially in mountain cities. The most suitable urban size of LS is 132 km2.This would allow for high connectivity of urban-rural areas with the occupation of relatively few green spaces.

scholarly journals Investigation on Certification and Evaluation Method of Harmful Substances Release from Furniture Products in China

2019 ◽  
Vol 136 ◽  
pp. 04099
Author(s):  
Xiuxia Yuan ◽  
Haochun Yan ◽  
Jia Liu
Keyword(s):  
Evaluation System ◽  
Indoor Air Pollution ◽  
Evaluation Method ◽  
Existing Problems ◽  
Volatile Organic ◽  
Other Substances ◽  
Benzene Toluene ◽  
Harmful Substances ◽  
Production Industry

Furniture products are the main sources of indoor air pollution due to the emission of formaldehyde and volatile organic compounds (VOCs). It is great significant to establish a scientific certification and evaluation system to promote furniture manufacturers to reduce the harmful substances release in furniture products and protect human health in China. This paper describes an investigation on release of formaldehyde, soluble heavy metals, benzene, toluene, xylene and other substances from 28 furniture products by dryer method and environmental chamber method. Studies on current development status of certification and evaluation of harmful substance release from furniture products in China were carried out. Case study of certification and evaluation method suitable for furniture production industry was made, and the existing problems and suggestions were provided for improvement of certification and evaluation method system based on the characteristics of furniture industry.

scholarly journals GC-MS Fingerprints Profiling Using Machine Learning Models for Food Flavor Prediction

Processes ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 23
Author(s):  
Kexin Bi ◽  
Dong Zhang ◽  
Tong Qiu ◽  
Yizhen Huang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Gas Chromatography Mass Spectrometry ◽  
Learning Models ◽  
Fingerprint Image ◽  
Whole Process ◽  
Evaluation Problem ◽  
Potential Issue ◽  
Machine Learning Models

Food flavor quality evaluation is attracting continuous attention, but a suitable evaluation system is severely lacking. Gas chromatography-mass spectrometry/olfactometry (GC-MS/O) is widely used to solve the food flavor evaluation problem, but the olfactometry evaluation is unfeasible to be carried out in large batches and is unreliable due to potential issue of an operator or systematic laboratory effect. Thus, a novel fingerprint modeling and profiling process was proposed based on several machine learning models including convolutional neural network (CNN). The fingerprint template was created by the data analysis of existing GC-MS spectrum dataset. Then the fingerprint image generation program was applied for structuring the complex instrumental data. Food olfactometry result was obtained by a machine learning method based on CNN using fingerprint image as the input. The case study on peanut oil samples demonstrated the model accuracy of around 93%. By structure optimization and further dataset expansion, the whole process has the potential to be utilized by sensory laboratories for aroma analysis instead of humans.

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