Code Shoppy Projects

Online Herbs Shopping Project Mutual Information Mining for Component Law and Development of New Recipes of Topical Herbs for Atopic Dermatitis Traditional Chinese medicines (CM) topical herbs for atopic dermatitis are mainly consist of nourishing the blood, dryness-moistening, dry-dampness, skin-moisturizing and itching-relief, of which therapeutic principles are taken as dryness-moistening to relieve itching. Based on the modified mutual information, complex system entropy cluster and unsupervised hierarchical clustering, the CM recipes for atopic dermatitis can be better collected and stored in the database, and the correlation coefficient between herbs, core combinations of herbs and new recipes also can be analyzed. In our study, the objective is to evaluate and analyze the component law of CM topical herbs and explore new recipes for atopic dermatitis through data mining methods so as to provide references for dermatologists in the clinical practice a

Online Shopping E-Commerce Android App Project Online Trust: An International Study Of Subjects’ Willingness to Shop at Online Merchants, Including The Effects of Promises and of Third Party Guarantees Our expectation was that promises alone would have little impact on customers’ WTP. Our thinking was that if customers trusted a website, then promises would not be necessary, and that if customers did not trust a website they would not trust its promises either; either way promises would have no effect. This turned out to be incorrect. Our expectation was that third party guarantees would be most effective. This turned out to be only partly supported. Our expectation was that China would be a significant outlier in one direc-tion, and Singapore would be a significant outlier in the opposite direction. Again, this turned out not to be entirely true. All of this is described more fully in our hypotheses (section 4) and our analyses (sections 7 through 11).

On Road Vehicle Breakdown Assistance Finder Project Vehicle Forecast Track Based on Virtual Detector Vehicle monitoring technology based on the video image due to its features of easy maintenance and easy implement is concerned in recent years. Vehicle tracking is one of the key technologies to achieve video vehicle monitoring. How to achieve real-time vehicle tracking is the key and difficult problem at home and abroad. A method of Kalman tracking based on virtual loop is proposed in the paper. Two parts about vehicle presence detection and vehicle forecast tracking are introduced in this paper. Experimental results show that this method in the fast-path scenarios can effectively achieve vehicles tracking, fully meet the system requirements and have high practicality. Since 1980s, with the development of scientific and technological and the social progress, the urban population increased, the number of cars is increasing, The road has been unable to mee