While there is a decline in the annual population of Taiwan, the number of crams schools in the supplementary education industry is increasing. A concern is that there are not enough students to go around. Cram schools are facing a difficult situation to survive in the industry. Therefore, a great and useful leadership method is needed to help leaders lead their faculty members and organizations so that they can survive and even grow in this white-hot industry. In this study, 400 New Taipei City cram school faculties were invited to be the research objects to study the influences of transformational leadership, transactional leadership, and patriarchal leadership on job satisfaction. This study adopted the method of intentional sampling to conduct a questionnaire survey. After collecting data, SPSS 12.0 software was used to analyze the descriptive statistics, reliability analysis, description of statistics, t-test method of single factor analysis of variance, and regression. As a result of this research, the employees under transformational leadership have a larger positive result on outer job satisfaction while patriarchal leadership has positive influences on inner job satisfaction. Encouraging subordinates with positive responses, inspiring speeches, and compliments could make subordinates satisfied with the company and interaction with colleagues, while teaching subordinates behavior sets up a moral and authorized style and controlling the organization directly could let subordinates get a sense of accomplishment from work. This study is aimed to provide suggestions and references for the cram schools’ leaders to change their leadership styles and improve their employees’ job satisfaction. Cram schools that take the suggestions and references could improve their working environment and become more competitive in the education industry.

Manufacturing industries are gradually changing to green production due to the increasing production cost. Reducing tool wear in production can not only decrease production cost but also the effect the environment. Thus, it becomes a crucial issue for the machining industry. This study investigates the optimal machining parameters for the computer numerical controlled turning process of S45C steel in minimizing tool wear. The correlation between control parameters (speed, cutting depth, and feed rate) and production quality were constructed by using semantic rules and fuzzy quantification. The Taguchi method was additionally employed to determine the optimal turning parameters. Under the consideration of environmental protection and tool cost, the optimal machining parameters were furthermore derived from the fuzzy semantic rules. The practicability of the optimal parameters was moreover verified through turning experiments. It is found that the proposed method in this study is appropriate and applicable to universal applications.

Under the strict restrictions of international environmental regulations, how to reduce environmental hazards at the production stage has become an important issue in the practice of automated production. The precision computerized numerical-controlled (CNC) cutting process was chosen as an example of this, while tool wear and cutting noise were chosen as the research objectives of CNC cutting quality. The effects of quality optimizing were verified using the depth of cut, cutting speed, feed rate, and tool nose runoff as control parameters and actual cutting on a CNC lathe was performed. Further, the relationships between Fuzzy theory and control parameters as well as quality objectives were used to define semantic rules to perform fuzzy quantification. The quantified output value was introduced into game theory to carry out the multi-quality bargaining game. Through the statistics of strategic probability, the strategy with the highest total probability was selected to obtain the optimum plan of multi-quality and multi-strategy. Under the multi-quality optimum parameter combination, the tool wear and cutting noise, compared to the parameter combination recommended by the cutting manual, was reduced by 23% and 1%, respectively. This research can indeed ameliorate the multi-quality cutting problem. The results of the research provided the technicians with a set of all-purpose economic prospective parameter analysis methods in the manufacturing process to enhance the international competitiveness of the automated CNC industry.

With the development of manufacturing technology and strict international environmental regulations, green production has become an imperative research topic in the manufacturing industry. Because cutting is affected by several factors, the development of green processes is vital for automated cutting using machines. These factors are often subjective and are set up merely based on the manual and experience of engineers, reducing tool life and deteriorating tool precision; ultimately, this approach increases production costs and reduces production efficiency. Moreover, the ecological environment can be seriously affected. Furthermore, the parameters must be adjusted according to variations in the processing state, which is a considerable drawback for the automated cutting industry. In this study, we investigated the precision computerized numerical-controlled cutting process as an example. We first assessed the literature and investigated tool wear and cutting noise as quality standards for green computerized numerical-controlled cutting. The cutting depth, cutting speed, feed rate, and the tip of the center were selected as control parameters. The consistency of the results was verified through an expert questionnaire conducted using analytic hierarchy process, and the weighted values of the control parameters were obtained. Simultaneously, seven environmental efficiency elements of the World Business Council for Sustainable Development and TRIZ 39 engineering parameters of the CSI project were used to establish the engineering parameters for the green production design. Furthermore, 40 inventive principles from a contradiction matrix were used to design an optimization strategy to develop and verify an innovation strategy of singular quality. Finally, the experimental results revealed that implementing the analytic hierarchy process coupled with the TRIZ innovative thinking mode and green production concept enables enterprises to reduce their consumption of raw materials and waste production during the design process. This approach effectively reduces the burden on the environment and thus facilitates industry competitiveness and sustainability.

Job performance is an issue highly related to the repetition of one enterprise. Because of the popularity of the Internet, consumer electronics have boomed rapidly and remove the space limitation stems. Users in the Taiwanese community send messages or share information through communication software that leads to more dependence from business. Various business problems have been solved and job performance has increased through the diversified functions on communication software. Thus, this research supposed that staff are willing to continuously use communication software LINE(a new communication app which allows one to make FREE voice calls and send FREE messages), and they agree that the varied functions of communication software would mean that information delivery more symmetrically affects their job performance. According to the research outcomes, communication effectiveness significantly influenced communication satisfaction and job performance, and communication satisfaction significantly influenced job performance. As organizational communication must be conducted through media that disseminate information, and different media have different communication effects, the relationship between communication effectiveness and job performance was completely mediated by communication satisfaction. The research suggested companies or organizations use LINE as a symmetric communication method to not only help employees improve their job performance, but also help enterprises achieve their goals or raise the profit, or even steady development for enterprises.

Aiming at the problem that the stability of the quadruped robot is decreased as its leg momentum is too high, a stable balance adjustment structure of the quadruped robot based on the bionic lateral swing posture is proposed. First, the leg structure of the quadruped robot is improved and designed by using the mechanism of the lateral swing posture of the leg of the hoof animal. Then, the D-H method is used to construct the corresponding leg kinematics model and determine the generalized coordinates of the leg joints in the lateral swing posture. The torque expression of the quadruped robot when it is tilted is established. Based on the differential equation of momentum of the hip joint and its static stability analysis, the static stability conditions in the upright posture and the bionic lateral swing posture are given. Finally, the experimental simulation and comparative analysis of the upright posture and the lateral swing posture of the quadruped robot are proposed by using the Adams virtual prototype technology. The simulation results show that as the angle of lateral swing increases, the peak value of the positive flip torque of the quadruped robot body increases accordingly, while the degree of tilt decreases accordingly, which shows that the bionic lateral swing posture of the quadruped robot has higher static stability than the traditional upright posture. This research provides a technical reference for the design and optimization of the offline continuous gait of the robot and the improvement of stability.