No abstract

Factors driving success and failure in CS1 are the subject of much study but less so for CS2. This paper investigates the transition from CS1 to CS2 in search of leading indicators of success in CS2. Both CS1 and CS2 at the University of North Carolina Wilmington (UNCW) are taught in Python with annual enrollments of 300 and 150 respectively. In this paper, we report on the following research questions:(1) Are CS1 grades indicators of CS2 grades?(2) Does a quantitative relationship exist between CS2 course grade and a modified version of the SCS1 concept inventory? (3) What are the most challenging aspects of CS2, and how well does CS1 prepare students for CS2 from the student's perspective?We provide a quantitative analysis of 2300 CS1 and CS2 course grades from 2013-2019. In Spring 2019, we administered a modified version of the SCS1 concept inventory to 44 students in the first week of CS2. Further, 69 students completed an exit questionnaire at the conclusion of CS2 to gain qualitative student feedback on their challenges in CS2 and on how well CS1 prepared them for CS2. We find that 56% of students' grades were lower in CS2 than CS1, 18% improved their grades, and 26% earned the same grade. Of the changes, 62% were within one grade point. We find a statistically significant correlation between the modified SCS1 score and CS2 grade points. Students identify linked lists and class/object concepts among the most challenging. Student feedback on CS2 challenges and the adequacy of their CS1 preparations identify possible avenues for improving the CS1-CS2 transition. CCS CONCEPTS• Social and professional topics → CS1; Student assessment. KEYWORDS CS1, CS2, student assessment

This paper puts forward a complete track forecasting models, using Kalman filter to track and predict the movement of objects without prior knowledge. Use the extracted Harris corner to calculate optical flow between two frames by L-K pyramid method, getting the convex hull of moving objects by optical flow clustering to separate the moving objects from background. Tracking and predicting the gravity of moving objects convex hull can solve the occlusion and separation problem between moving objects. Computer simulation and field test results show that the proposed method has higher tracking accuracy, and small amount of calculation.

No abstract

This research examines FDI-mediated domestic firms' technological catch up by considering institutional differences between home and host countries, the role of marketing capabilities and the joint effects of institutional differences and the degree of foreign ownership. Using firm-level panel data for Indian manufacturing industries, we find that FDI-mediated technological catch up in domestic firms are conditional on institutional differences between the home and host country of multinational enterprises and the level of marketing capabilities of foreign-owned affiliates. In addition, we find that technological catch up in domestic firms are likely to be positively influenced by the presence of wholly foreign-owned firms from institutionally close countries whereas we find some evidence that the presence of minority foreign-owned firms may have a negative effect on domestic technological catch-up, regardless of institutional differences. We also provide theoretical and policy implications of our findings.