Risk Response of Complex Projects: Risk Association Network Method

2021 ◽  
Vol 37 (4) ◽  
Author(s):  
Lin Yang ◽  
Jiaming Lou ◽  
Xianbo Zhao
2021 ◽  
Vol 2 (1) ◽  
pp. 40-45
Author(s):  
Adrian Pratama ◽  
Alfiansyah Zulkarnain

This paper contains the process of designing a visual concept of assimilation of traditional clothing designs with science fiction from the adaptation of Tere Liye's novel Bumi using the sequence of Armand Serrano's processes in making concept art. This visual concept design process aims to create a visual concept that is in accordance with the content and context of the story and can be used as a reference in creating a visual appearance that is coherent with the source of the adaptation. The study stage began by analyzing the content of the literature that had been collected using McCloud's Backstory method continued with context analysis using Charles Sanders Peirce's literature and semiotics studies and finally searching and developing keywords using the Words Association Network method.


2017 ◽  
Vol 25 (101) ◽  
pp. 452-457
Author(s):  
Alexander N., Martynyuk ◽  
◽  
Dmitry Oleksandrovich, Martynyuk ◽  
Anna S., Sugak
Keyword(s):  

Author(s):  
Augusto Delavald Marques ◽  
Caroline Mével ◽  
Paulo Smith Schneider ◽  
Jéssica Duarte ◽  
Guilherme Barth Rossi

Author(s):  
Duong Tran Duc ◽  
Pham Bao Son ◽  
Tan Hanh ◽  
Le Truong Thien

Demographic attributes of customers such as gender, age, etc. provide the important information for e-commerce service providers in marketing, personalization of web applications. However, the online customers often do not provide this kind of information due to the privacy issues and other reasons. In this paper, we proposed a method for predicting the gender of customers based on their catalog viewing data on e-commerce systems, such as the date and time of access, the products viewed, etc. The main idea is that we extract the features from catalog viewing information and employ the classification methods to predict the gender of the viewers. The experiments were conducted on the datasets provided by the PAKDD’15 Data Mining Competition and obtained the promising results with a simple feature design, especially with the Bayesian Network method along with other supporting techniques such as resampling, cost-sensitive learning, boosting etc.


2020 ◽  
pp. 48-55
Author(s):  
TING ZHU

The educatonal program development process is challenging with many stakeholders: students, teachers, parents, administrators, employers, and the government. Each stakeholder has compettve priorites; Quality, risk, resources and costs limitaton. Large complex projects require the management of a skilled and experienced project manager. It is the preparaton of curricula for joint internatonal educatonal programs with the use of Agile tools and technologies. The main "customer" in this program is a student, and the ultmate goal of each project within the program-the competence of the student in the labor market afer receiving the diploma. Therefore, this program can be considered difcult, and it is constantly evolves, because the demands of the labor market of China is constantly changing and developing.


Methods for evaluation the manufacturability of a vehicle in the field of production and operation based on an energy indicator, expert estimates and usage of a neural network are stated. By using the neural network method the manufacturability of a car in a complex and for individual units is considered. The preparation of the initial data at usage a neural network for predicting the manufacturability of a vehicle is shown; the training algorithm and the architecture for calculating the manufacturability of the main units are given. According to the calculation results, comparative data on the manufacturability vehicles of various brands are given.


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