One-Shot Pruning for Fast-adapting Pre-trained Models on Devices

Large-scale pre-trained models have been remarkably successful in resolving downstream tasks. Nonetheless, deploying these models on low-capability devices still requires an effective approach, such as model pruning. However, pruning the model from scratch can pose a practical challenge given the limited resources of each downstream task or device. To tackle this issue, we present a scalable one-shot pruning method that leverages pruned knowledge of similar tasks to extract a sub-network from the pre-trained model for a new task. Specifically, we create a score mask using the pruned models of similar tasks to identify task-specific filters/nodes in the pre-trained model for the new task. Based on this mask, we conduct a single round of pruning to extract a suitably-sized sub-network that can quickly adapt to the new task with only a few training iterations. Our experimental analysis demonstrates the effectiveness of the proposed method on the convolutional neural networks (CNNs) and vision transformers (ViT) with various datasets. The proposed method consistently outperforms popular pruning baseline methods in terms of accuracy and efficiency when dealing with diverse downstream tasks with different memory constraints

Sustainable Development Strategies of Manufacturing in Jiangsu Based on the Constraints of Resources and Environment

AbstractBased on the low carbon economy and the theory of grey correlation, the paper puts forward that the industrial development in Jiangsu has been associated with energy consumption in large sum and the high energy -consuming industries is still taking up a large proportion. The correlation between the energy consumption of major industrial enterprises and the “three wastes” emissions is large. Besides, the energy consumption has significant influence on the environmental quality. By analyzing the environment and resource bottleneck on the development of the manufacturing in Jiangsu, it puts forward a series of sustainable development strategy for the promotion of the manufacturing.© 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of RIUD

The Analysis of Factors and Levels Associated with Lecturers’ Motivation and Job Satisfaction in University of Rwanda

It is difficult to expect good performance of students in universities without having a motivated lecturing staff. The study aimed to correlate the levels of lecturers’ motivation and job satisfaction and find out factors associated with. A cross-sectional study was conducted between February and April 2016. Structured online questionnaires of the content validity index of 0.9625 for Lecturers’ motivation and job satisfaction were used for data collection.  Seventy Lecturers from university of Rwanda participated in study. Collected data were organized and encoded into computer using the statistical package for social sciences (SPSS) 19th version. Frequencies, percentages, means and Pearson’ Linear Correlation Coefficient were used to analyze data. Means were interpreted as poor, fair, satisfactory and very satisfactory.  Lecturers’ motivation was fair and firstly affected by salary, classroom environment, incentives &promotions, code of conduct, social factors and cheer love of career. Job satisfaction was fair and highly affected by working conditions, financial rewards, workload and stress level, relation with supervisors, opportunity for advancement and respect co-workers. The correlation between levels of lecturers’ motivation and job satisfaction was significant with positive relationship of 82.1%. Lecturers’ Motivation and Job satisfaction were found to be low; all analyzed factors would be taken into consideration. Keywords: Lecturers’ motivation; Job satisfaction; Professional development; Learning environment

The Influence of Language Policy and Planning on Intercultural Education in China

Intercultural education, as an important aspect of English learning, is set as one of the fundamental teaching principles in Chinese schools. This paper incorporates three sociolinguistic concepts “language policy and planning”, “language ideology” and “cultural identity” into the discussion of intercultural education in China. Three practical suggestions are also proposed to facilitate intercultural education for English learners in China

Evaluating economic strategies for multi-party application of performance contracting

Scope and Method of Study:This subject matter is focused on the economic justification for energy management projects which involve both an energy client and an energy service company (ESCO) (and possibly other parties) in an Energy Savings Performance Contracting (ESPC) project. In this research, an analysis model is developed which includes multi-party involvement in justifying energy management projects that require expertise and capital beyond that found in the energy client. Examples include energy generation from waste heat, solar applications, and so on. The model is built on a system level and expands risk analysis beyond the simple party views. It is a multi-party model which seeks to find "win-win" solutions for all parties (or to expose shortcomings of projects where all parties cannot "win"). Such model application will help in justifying projects that might otherwise be discarded as too complex and too risky, or expose projects that will not produce demanded economic performance.Findings and Conclusions:The inputs of the model are referred to as being probabilistic and deterministic. The outputs of the model are the Net Present Values (NPV) of the client and the ESCO, respectively. The probabilistic inputs are either probability-distributed or simulated with the correlation coefficients from historical data. The deterministic inputs are referred to as either discrete arrays or single values. Multiple scenarios are generated in accordance with the number of the discrete arrays and the number of the values in each array. In each scenario, all probabilistic inputs are simulated, combined with the values randomly picked from the discrete arrays, and entered into the model. The output analysis is based on simulated NPVs for the primary parties (client and ESCO). The major contributions of the research include: (1) develop an analysis protocol for the parties involved in an ESPC project depending on the inputs and outputs of the proposed energy system, (2) develop a procedure to empower the parties involved in an ESPC project with information regarding the inherent risks, and (3) develop a procedure to present graphical outputs of multiple scenarios in an ESPC project to help the involved parties understand the influence of the significant inputs on the ESPC project