How the Team Norm of Information Exchange and Team Information Processing Affects Team Performance in Software Development Projects?

This study examines how the team norm of information exchange and team information processing affects team performance. Data were collected from 354 project teams from software development companies in Thailand. Structural Equation Modelling (SEM) was conducted to test the proposed hypotheses. The results of the study revealed that team norms of information exchange (TNM) has a significant relationship with team information processing (PRO). Team information processing positively influences team performance (TPM). Software development organisations could adopt such norms and this team process to improve software development projects performance and recognise team processes, which is essential for long-term sustainability and competitiveness

Study on the analytical model of vibration source for metro train

A novel analytical model of vibration source for metro train based on “coupled vehicle and track basic unit” is established in this paper. The dynamic vehicle-track equations are completed with the displacement compatibility and the force equilibrium, and the model takes into account the infinite track structure, whole vehicle, track irregularity and wheel-rail Hertz contact. The special feature of track structure model is the periodical system of discrete supported sleepers, which converts the infinite integral equation into the combination in the wave number-frequency domain and simplifies the calculation progress. The rail dynamic responses and the wheel-rail contact force can be calculated easily. A complete software package TMCVT is programmed. A calculated example is achieved using the program. Compared the theoretical calculated results and the field tested results ,the coincidence with each other proved the analytical dynamic model for metro train coupled with vehicle and track is correct

Research on Site Coverage Distribution of Beijing Based on Geographic Information System

Site coverage is an important index to learn spatial development pattern of the city. In this paper, with the help of spatial analysis functions of GIS, buffer and sector analysis are imposed in pursuit of finding possible spatial distribution rules of Beijing taken flagpole in Tian’anmen square as center. The results of sector analysis indicate that the building densities in such superior geographical condition areas as southeast and south are higher. Building densities of northern and western areas are low because of their bad terrain. The results of buffer analysis indicate the density of city center is the highest and have a negative relation with the augment of distance. That is to say, the average building density of center areas (buffer 1, 2 and 3, about 7.5km away) is about 26%. The average building density of transition region of city and countryside (buffer 10~20, about 25~50km away from center) is about 9%. The average building density of exurbs (after buffer 20~50km away from center) can't reach to 3%

Heat-assisted incremental sheet forming of TI-6AL-4V sheets

Single point incremental forming (SPIF) is a sheet forming technique that deforms sheet materials incrementally to a designated shape. The process has shown high ability to deform low-strength materials for good geometrical accuracy and formability at room temperature. Deforming high-temperature alloys, such as Ti-6AI-4V, requires integrated heat sources to increase the ductility of the metal sheets for deformation. However, the integration of heating results in unpredictable thermomechanical behaviours on the formability, geometric accuracy, thickness distribution and surface quality. Considerable research efforts have been in developing in different heating methods and designing novel tools and analytical modelling to resolve the limitations. The current challenge remains to improve the localised and stable heating and functional tool design to reduce the thermal expansion and friction at the tool-surface contact area and the analysis of relationship between thermal and mechanical effects. This PhD research aims to develop and improve the induction heating-assisted SPIF system for Ti-6AI-4V sheets in tool design, lubrication, tool path optimisation and numerical analysis. Total four research methods include the study of microstructural and mechanical properties for low temperature (600 ℃ and 700 ℃) deformation using Zener-Hollomon parameter (Z-parameter). A novel tool design with water-cooling lubricant system to assist lubricant service. A combination of crystal plasticity finite element simulation method (CPFEM), representative volume element (RVE) and cellular automata (CA) to predict the grain orientation, crystal texture and grain size evolution in experimental scale and microstructure. A radial basis function (RBF) artificial neural network to optimise the tool path for improvements of geometric accuracy and surface quality above beta-transus (950 ℃) temperature

Heat-assisted incremental sheet forming of TI-6AL-4V sheets

Single point incremental forming (SPIF) is a sheet forming technique that deforms sheet materials incrementally to a designated shape. The process has shown high ability to deform low-strength materials for good geometrical accuracy and formability at room temperature. Deforming high-temperature alloys, such as Ti-6AI-4V, requires integrated heat sources to increase the ductility of the metal sheets for deformation. However, the integration of heating results in unpredictable thermomechanical behaviours on the formability, geometric accuracy, thickness distribution and surface quality. Considerable research efforts have been in developing in different heating methods and designing novel tools and analytical modelling to resolve the limitations. The current challenge remains to improve the localised and stable heating and functional tool design to reduce the thermal expansion and friction at the tool-surface contact area and the analysis of relationship between thermal and mechanical effects. This PhD research aims to develop and improve the induction heating-assisted SPIF system for Ti-6AI-4V sheets in tool design, lubrication, tool path optimisation and numerical analysis. Total four research methods include the study of microstructural and mechanical properties for low temperature (600 ℃ and 700 ℃) deformation using Zener-Hollomon parameter (Z-parameter). A novel tool design with water-cooling lubricant system to assist lubricant service. A combination of crystal plasticity finite element simulation method (CPFEM), representative volume element (RVE) and cellular automata (CA) to predict the grain orientation, crystal texture and grain size evolution in experimental scale and microstructure. A radial basis function (RBF) artificial neural network to optimise the tool path for improvements of geometric accuracy and surface quality above beta-transus (950 ℃) temperature

Using Context-Based Password Strength Meter to Nudge Users' Password Generating Behavior: A Randomized Experiment

Encouraging users to create stronger passwords is one of the key issues in password-based authentication. It is particularly important as prior works have highlighted that most passwords are weak. Yet, passwords are still the most commonly used authentication method. This paper seeks to mitigate the issue of weak passwords by proposing a context-based password strength meter. We conduct a randomized experiment on Amazon MTurk and observe the change in users’ behavior. The results show that our proposed method is significantly effective. Users exposed to our password strength meter are more likely to change their passwords after seeing the warning message, and those new passwords are stronger. Furthermore, users are willing to invest their time to learn about creating a stronger password, even in a traditional password strength meter setting. Our findings suggest that simply incorporating contextual information to password strength meters could be an effective method in promoting more secure behaviors among end users

Street Stall Economy in China in the COVID-19 Era: Dilemmas and the International Experience of Promoting the Normalization of Street Stall Economy

Compared with those major policies that need to be practiced over the years, the street stall economy is more like a special means after the epidemic, resulting in a “short and brilliant” heat. Nevertheless, the street stall economy revives is facing several dilemmas. This paper reveals the dilemma of the prosperity and development of the stall economy before and after the epidemic, followed by the international experience and enlightenment of promoting the normalization of street stall economy, ranging from street vendor’s legal status and road administrative promotion to street food safety and environmental protection. To sum up, employment is the foundation of people’s livelihood and the source of wealth, hence, stall economy plays an indispensable role to create a win-win working world and promote the formation of a sustainable economic

Analytical solution for dynamic response of curved rail subjected to moving train

The objective of this paper is to present an analytical solution for the dynamic response of curved rail. The detailed solution was derived for the out-of-plane vibration response of periodically supported curved Timoshenko beam subjected to moving loads. The accuracy of the solution was validated based on the results from previous study. Furthermore, the train/track interaction model was introduced into this solution to calculate the rail dynamic response in Beijing metro. The results presented herein indicated that the solution provided accurate results in comparison with both the result from previous study and the measurement data collected from Beijing metro and it can be used to derive the dynamic response for similar situations

Using Context-Based Password Strength Meter to Nudge Users\u27 Password Generating Behavior: A Randomized Experiment

Encouraging users to create stronger passwords is one of the key issues in password-based authentication. It is particularly important as prior works have highlighted that most passwords are weak. Yet, passwords are still the most commonly used authentication method. This paper seeks to mitigate the issue of weak passwords by proposing a context-based password strength meter. We conduct a randomized experiment on Amazon MTurk and observe the change in users’ behavior. The results show that our proposed method is significantly effective. Users exposed to our password strength meter are more likely to change their passwords after seeing the warning message, and those new passwords are stronger. Furthermore, users are willing to invest their time to learn about creating a stronger password, even in a traditional password strength meter setting. Our findings suggest that simply incorporating contextual information to password strength meters could be an effective method in promoting more secure behaviors among end users