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Rethinking the tendering frameworks of construction contractors in the context of a soft systems methodology

Stephen URQUHART, Andrew WHYTE

Frontiers of Engineering Management 2018, Volume 5, Issue 3, Pages 369-380 doi: 10.15302/J-FEM-2018019

Abstract:

Limited research has been conducted on the internal tendering procedures (ITP) of construction contractorsidentification and subsequent decision modeling development) only begins to provide insights into key tenderingTendering processes were presented as flowchart models that traditionally follow “hard” system (rectangularcorporate governance demands, with many stating that people involved are the most critical element to tenderingcontractors a different approach, which may assist individuals who are looking to re-structure their tendering

Keywords： contractor corporate governance humanistic risk soft systems methodology tendering procedures

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Comparison of analytical procedures for measuring phosphorus content of animal manures in China

Guohua LI, Qian LIU, Haigang LI, Fusuo ZHANG

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4, Pages 431-440 doi: 10.15302/J-FASE-2019279

Abstract: of China was investigated with sequential fractionation and a simplified two-step (NaHCO -NaOH/EDTA) procedures

Keywords： diet phosphorus manure phosphorus sequential P fractionation

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Review of surgical robotic systems for keyhole and endoscopic procedures: state of the art and perspectives

Yuyang Chen, Shu’an Zhang, Zhonghao Wu, Bo Yang, Qingquan Luo, Kai Xu

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 382-403 doi: 10.1007/s11684-020-0781-x

Abstract: Minimally invasive surgery, including laparoscopic and thoracoscopic procedures, benefits patients inThe challenges in hand–eye coordination and manipulation dexterity during the aforementioned proceduresinspired an enormous wave of developments on surgical robotic systems to assist keyhole and endoscopic proceduresschemes, and control approaches of the existing surgical robotic systems for keyhole and endoscopic procedures

Keywords： surgical robots keyhole surgery endoscopic surgery

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Performance analysis of new word weighting procedures for opinion mining Article

G. R. BRINDHA,P. SWAMINATHAN,B. SANTHI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11, Pages 1186-1198 doi: 10.1631/FITEE.1500283

Abstract: The proliferation of forums and blogs leads to challenges and opportunities for processing large amounts of information. The information shared on various topics often contains opinionated words which are qualitative in nature. These qualitative words need statistical computations to convert them into useful quantitative data. This data should be processed properly since it expresses opinions. Each of these opinion bearing words differs based on the significant meaning it conveys. To process the linguistic meaning of words into data and to enhance opinion mining analysis, we propose a novel weighting scheme, referred to as inferred word weighting (IWW). IWW is computed based on the significance of the word in the document (SWD) and the significance of the word in the expression (SWE) to enhance their performance. The proposed weighting methods give an analytic view and provide appropriate weights to the words compared to existing methods. In addition to the new weighting methods, another type of checking is done on the performance of text classification by including stop-words. Generally, stop-words are removed in text processing. When this new concept of including stop-words is applied to the proposed and existing weighting methods, two facts are observed: (1) Classification performance is enhanced; (2) The outcome difference between inclusion and exclusion of stop-words is smaller in the proposed methods, and larger in existing methods. The inferences provided by these observations are discussed. Experimental results of the benchmark data sets show the potential enhancement in terms of classification accuracy.

Keywords： Inferred word weight Opinion mining Supervised classification Support vector machine (SVM) Machine learning