FPGA Optimized Accelerator of DCNN with Fast Data Readout and Multiplier Sharing Strategy

With the continuous development of deep learning,Deep Convolutional Neural Network(DCNN)has attracted wide attention in the industry due to its high accuracy in image classification.Compared with other DCNN hard-ware deployment platforms,Field Programmable Gate Array(FPGA)has the advantages of being programmable,low power consumption,parallelism,and low cost.However,the enormous amount of calculation of DCNN and the limited logic capacity of FPGA restrict the energy efficiency of the DCNN accelerator.The traditional sequential sliding window method can improve the throughput of the DCNN accelerator by data multiplexing,but this method’s data multiplexing rate is low because it repeatedly reads the data between rows.This paper proposes a fast data readout strategy via the circular sliding window data reading method,it can improve the multiplexing rate of data between rows by optimizing the memory access order of input data.In addition,the multiplication bit width of the DCNN accelerator is much smaller than that of the Digital Signal Processing(DSP)on the FPGA,which means that there will be a waste of resources if a multiplication uses a single DSP.A multiplier sharing strategy is proposed,the multiplier of the accelerator is customized so that a single DSP block can complete multiple groups of 4,6,and 8-bit signed multiplication in parallel.Finally,based on two strategies of appeal,an FPGA optimized accelerator is proposed.The accelerator is customized by Verilog language and deployed on Xilinx VCU118.When the accelerator recognizes the CIRFAR-10 dataset,its energy efficiency is 39.98 GOPS/W,which provides 1.73×speedup energy efficiency over previous DCNN FPGA accelerators.When the accelerator recognizes the IMAGENET dataset,its energy efficiency is 41.12 GOPS/W,which shows 1.28×−3.14×energy efficiency compared with others.

Improving Statistical Literacy through Evidence-Based Strategies Among First-Year Education Students in a State University

Statistical literacy is crucial for cultivating well-rounded thinkers.The integration of evidence-based strategies in teaching and learning is pivotal for enhancing students’statistical literacy.This research specifically focuses on the utilization of Share and Model Concepts and Nurturing Metacognition as evidence-based strategies aimed at improving the statistical literacy of learners.The study employed a quasi-experimental design,specifically the nonequivalent control group,wherein students answered pre-test and post-test instruments and researcher-made questionnaires.The study included 50 first-year Bachelor in Secondary Education majors in Mathematics and Science for the academic year 2023-2024.The results of the study revealed a significant difference in the scores of student respondents,indicating that the use of evidence-based strategies helped students enhance their statistical literacy.This signifies a noteworthy increase in their performance,ranging from very low to very high proficiency in understanding statistical concepts,insights into the application of statistical concepts,numeracy,graph skills,interpretation capabilities,and visualization and communication skills.Furthermore,the study showed a significant difference in the post-test scores’performance of the two groups in understanding statistical concepts and visualization and communication skills.However,no significant difference was found in the post-test scores of the two groups concerning insights into the application of statistical concepts,numeracy and graph skills,and interpretation capabilities.Additionally,students acknowledged that the implementation of evidence-based strategies significantly contributed to the improvement of their statistical literacy.

A Probe into the Reasons for Less Frequent Use of Memory Strategies by Chinese Non-English Majors

Based on the results of the questionnaire survey,supplemented with the classroom observation and individual interview,the author probes into the reasons why Chinese non-English majors use memory strategies infrequently.On the one hand,the students do not know about memory techniques and on the other hand,they seldom receive memory strategy training in class.Therefore,it is strongly suggested that teachers be encouraged to become familiar with recent learner strategy research findings,and integrate the teaching of language learning strategies with classroom instruction plans.Only in this way can they offer their students a great deal of guidance in experimenting with new different strategies to enhance their learning.

The Application of Non-verbal Communication Strategies in International Business Negotiations

As the economic globalization deepens, trades among nations are steadily increasing. Therefore, the international business negotiations become more and more significant. In the process of negotiations, the application of appropriate strategies is necessary for negotiators to reach an agreement smoothly. However, the non-verbal communication plays an important role to some extent in real international business negotiations. This article tends to explore the application of non-verbal strategies in the international business negotiations.

Non-linguistic Factors and Strategies on the English-Chinese Translation of Humor

The text have an in-depth discussion of the non-linguistic factors on the English-Chinese Translation of humor,and according to different types of humor,summarized the corresponding translation strategies,including the naturalization,replacement and explanation.

Discourse Comprehension and Reading Strategies for Freshmen of Non-English Majors

This paper firstly discusses the nature of discourse comprehesion,and then analyzes the importance of reading strategy instructionon reading comprehension. Finally,it presents some useful approaches to help freshmen of non-English majors read effectively.

Invasive versus conservative strategy in consecutive patients aged 80 years or older with non-ST-segment elevation myocardial infarction: a retrospective study in China

Objective To investigate whether the very elderly patients with non-ST-segment elevation myocardial infarction (NSTEMI) will benefit from an invasive strategy versus a conservative strategy. Methods 190 consecutive patients aged 80 years or older with NSTEMI were included in the retrospective study from September 2014 to August 2017, of which 69 patients received conservative strategy and 121 patients received invasive strategy. The primary outcome was death. Multivariate Cox regression models were used to assess the statistical association between strategies and mortality. The survival probability was further analyzed. Results The primary outcome occurred in 17.4% patients in the invasive group and in 42.0% patients in the conservative group (P = 0.0002). The readmission rate in the invasive group (14.9%) was higher than that in the conservative group (7.2%). Creatinine level (OR = 1.01, 95% CI: 0.10–1.03, P = 0.05) and use of diuretic (OR = 3.65, 95% CI: 1.56–8.53, P = 0.003) were independent influential factors for invasive strategy. HRs for multivariate Cox regression models were 3.45 (95% CI: 1.77–6.75, P = 0.0003), 3.02 (95% CI: 1.52–6.01, P = 0.0017), 2.93 (95% CI: 1. 46–5.86, P = 0.0024) and 2.47 (95% CI: 1.20–5.07, P = 0.0137). Compared with the patients received invasive strategy, the conservative group had remarkably reduced survival probability with time since treatment (P < 0.001). Conclusions An invasive strategy is superior to a conservative strategy in reducing mortality of patients aged 80 years or older with NSTEMI. Our results suggest that an invasive strategy is more suitable for the very elderly patients with NSTEMI in China.

Research on the Strategy of Information Resource Sharing between Governments in the Perspective of Game Theory

In order to improve the operational efficiency, the government can realize the streamlining policy through the mode of government information resource sharing. By building government information resources sharing, the government breaks the inter-departmental data island. The government realizes the development direction and trend of “Internet government”. This paper also takes the information resource sharing as the game process between the government management department and the information resource sharing body, and analyzes the policy and suggestion of the information resource sharing in the perspective of game theory by constructing the sharing model of the government information resource in the perspective of game theory.

CWoT-Share: Context-Based Web of Things Resource Sharing in Blockchain Environment

Web of Things(WoT)resources are not only numerous,but also have a wide range of applications and deployments.The centralized WoT resource sharing mechanism lacks flexibility and scalability,and hence cannot satisfy requirement of distributed resource sharing in large-scale environment.In response to this problem,a trusted and secure mechanism for WoT resources sharing based on context and blockchain(CWoT-Share)was proposed.Firstly,the mechanism can respond quickly to the changes of the application environment by dynamically determining resource access control rules according to the context.Then,the flexible resource charging strategies,which reduced the fees paid by the users who shared more resources and increased the fees paid by users who frequently used resources maliciously,were used to fulfill efficient sharing of WoT resources.Meanwhile,the charging strategies also achieve load balancing by dynamic selection of WoT resources.Finally,the open source blockchain platform Ethereum was used for the simulation and the simulation results show that CWoT-Share can flexibly adapt to the application environment and dynamically adjust strategies of resource access control and resource charging.

Control Strategy of DC Link Voltage Flywheel Energy Storage for Non Grid Connected Wind Turbines Based on Fuzzy Control

The large-scale development of wind power is an important means to reduce greenhouse gas emissions, alleviate environmental pollution and improve the utilization rate of renewable energy. At the same time, large-scale non grid connected wind power generation theory avoids the technical difficulties of wind power integration [1]. However, due to the randomness and uncontrollability of wind energy, the output power of the wind power generation system will fluctuate accordingly [2]. Therefore, the corresponding energy storage devices are arranged in the non-grid-connected wind power generation system to ensure the power quality, and it has become the key to full utilization of renewable energy. In the case of wind speed fluctuation, the DC bus control strategy of the wind turbine is proposed in this paper. It can reduce the impact on the unit converter and the power load;this ensures safe and stable operation of non-grid connected wind turbines.

Vocabulary Strategies Used by Non-English Majors

Many Chinese non-English Majors often feel confused and discouraged in remembering so many English words and using them properly. The article is based on the author’s teaching experience, investigation and interview. Result findings display that the methods the learners adopt are mechanic, dull and inappropriate. At last five pieces of advice are put forward for learners such as: teachers’ guiding, how to overcome learning by rote, developing students’ interest, learning about background and using English-English dictionary.

SPECTRUM SHARING IN ITERATED PRISONER'S DILEMMA GAME BASED ON EVOLUTIONARY STRATEGIES FOR COGNITIVE RADIOS

We study a spectrum sharing problem where multiple systems coexist and interfere with each other. First, an analysis is proposed for distributed spectrum sharing based on Prisoners' Dilemma (PD) in Cognitive Radios (CRs). In one-shot game, selfish and rational CRs greedily full spread their own spectrum space in order to maximize their own rates, which leads to Nash Equilibrium (N.E.). But with long term interaction, i.e., Iterated Prisoner's Dilemma (IPD), CRs can come to cooperate and acquire the social optimal point by using different evolutionary strategies such as Tit For Tat (TFT), Generous TFT (GTFT), etc. Also we compare the performances of the different evolutionary strategies in noise-free and noisy environments for two-player games. Finally, N-player IPD (N-IPD) is simulated to verify our conclusions that TFT is a good strategy for spectrum sharing in CRs.

Design and implementation strategy of social responsibility sharing mechanism of existing building energy-saving renovation subject

It is the key to promote the development of energy-saving renovation market of existing buildings to share the social responsibility of the subject of energy-saving renovation of existing buildings.This paper analyzes the principle and implementation conditions of social responsibility sharing of existing building energy-saving renovation subject,discusses the mode selection and contract design of social responsibility sharing of existing building energy-saving renovation subject,analyzes the implementation mechanism of social responsibility sharing of existing building energy-saving renovation subject from the perspectives of information platform architecture,shared process design and shared system construction.And this paper puts forward the implementation strategy of sharing the social responsibility of the subject of the existing building energy-saving renovation from the aspects of stabilizing the subject’s cooperative relationship,creating a good responsibility environment and improving the responsibility performance laws and regulations.

Study on English Vocabulary Learning Strategies of Non-English Majors

This research investigated English learning strategy use by Non-English majors in Guangxi.Students’self-reports and questionnaires are conducted to collect data.The analysis finds that students have difficulty with long-term memory and internalization of words.The most frequently used strategies are some determination,memory and cognitive strategies.Social and metacognitive strategies are used less.The findings indicate that there are no great differences in the use of most strategies between groups of different proficient levels.Suggestions are provided to teachers based on the findings.

The “Endogenous” Planning and Design Strategy of the Park Under the Non-linear Thinking

Shanghai is in the period of urban transformation, so it is urgent to focus on building urban cultural brand, improving the quality of urban environment, and actively promoting urban fine design. The study combined the planning and design scheme of Chuansha Software Park, and used the non-linear thinking method to pay attention to the spatial practice of public significance from the aspects of planning spatial pattern, sharing community construction and site spirit, so as to explore the "endogenous" industrial park planning and design strategy, in order to provide reference for the planning and design of the park and decision-making consultation.

A Study on Oral English Learning Strategies of Non-English Majors and Their Oral English Competence

In China,a lot of studies have been carried out to investigate the college students' learning strategies and their relationship to learning achievement mainly in the aspect of reading,writing,listening and vocabulary learning.But in the area of speaking,not many researches have been conducted due to this or that reason.Moreover,the subjects under these studies were mostly English majors and non-English majors of the common universities or colleges.There are few studies that focus on the use of the strategies of the non-English major students from independent colleges.This study was conducted by means of questionnaire and oral test among 90 first-year non-English major students from an independent college.

Research on the Electric Energy Metering Data Sharing Method in Smart Grid Based on Blockchain

Enabling data sharing among smart grid power suppliers is a pressing challenge due to technical hurdles in verifying,storing,and synchronizing energy metering data.Access and sharing limitations are stringent for users,power companies,and researchers,demanding significant resources and time for permissions and verification.This paper proposes a blockchain-based architecture for secure and efficient sharing of electric energy metering data.Further,we propose a data sharing model based on evolutionary game theory.Based on the Lyapunov stability theory,the model’s evolutionary stable strategy(ESS)is analyzed.Numerical results verify the correctness and practicability of the scheme proposed in this paper,and provide a new method for realizing convenient,safe and fast data sharing.

海洋城市战略与空间规划前瞻

党的十八大报告明确提出“建设海洋强国”的战略目标,要求提高海洋资源开发能力,发展海洋经济,保护海洋生态环境,坚决维护国家海洋权益。2023年10月13日,王世福教授作为国家社科基金重大研究专项首席专家以“建设海洋强国的战略支点与制度创新”为主题组织第十二届“设计城市”圆桌研讨会,并邀请来自规划、海洋、国际关系等多个领域的专家,共同探讨海洋城市在海洋命运共同体中的战略支点作用以及空间规划创新需要。在凝练与会嘉宾观点的基础上,进一步以笔谈形式邀请相关领域专家围绕“海洋城市战略与空间规划”进行论述,期望为未来海洋城市规划与建设提供有益参考。王世福认为对于我国海洋城市建设而言,立足港城关系的规划和注重海陆统筹的战略,有助于在全局视角上认识和响应从港口大国到海洋强国的战略跃升。王兴平等提出建设海洋城市组群是内陆城市经略海洋的重要方式,港口城市与腹地陆域中心城市可通过交通设施网络、多种“流要素”、区域涉海功能与跨界协同治理四个维度的一体化措施构建联系密切且分工合理的海洋功能圈。马向明认为海洋城市战略不应仅局限于海洋资源的开发利用,更应从促进海陆文明交流融合的视角出发,积极应对海洋生态挑战,大力发展文化交流和综合创新功能。海洋城市空间规划应强调陆海功能协调性,从而保证海洋城市健康发展。陈天结合海洋城市所面临的可持续发展问题,从海岸生态系统保护的统筹与修复、沿海城市防灾韧性体系构建和基于气候适应性的沿海城市品质提升三方面,提出沿海高密度城市防灾韧性建设与空间品质提升实施路径。王建军系统论述目前海洋城市战略推进过程中存在的痛点和堵点,并从四个层次梳理当前海洋城市战略核心要解决的问题,即开展陆海资源全要素综合调查与评价、构建陆海统筹的海洋城市发展格局、做好向海而强的资源要素保障以及在更广阔的深远海深度参与全球海洋治理。文超祥等以海洋中心城市作为海洋强国的战略支点,提出科学谋划境内外海洋中心城市的战略布局,并结合我国沿海各省市开展的海岸带空间规划实践总结出:处理好陆域与海域关系、协调好城市与区域发展关系、谋划好陆海发展的战略空间。郑斌认为粤港澳大湾区建设世界级新港城对推动大湾区海洋城市发展具有积极意义,并提出在设施建设、制度建设和推动港口与产业融合发展三方面推进大湾区新港城建设,实现海洋城市的国际化和全球化发展。赵渺希认为随着全球经济的区域化趋势日渐发展,应把握全球供应链、价值链的近岸化趋势,拓展新发展格局下沿海地区高水平对外开放的规划原理,并进一步围绕粤港澳大湾区建设,提出厘清大湾区的全球网络链接机制、解析大湾区区域网络协同机制、大湾区双循环网络发展的规划响应。程遥认为陆海统筹规划是一个全域全要素统筹的系统问题,且最终将落实到陆域的功能与设施规划建设上。陆海统筹导向的国土空间规划在陆海域、邻域、海岸带三个层面对应的规划层次、内容、深度应该是差异化的,并且海域应建立相较陆域更系统的跨界规划管控体系和更严格的传导体系。邓昭华提出中国特色海洋强国的建设,可施行“以陆促港”策略,从“港产联动”以固港、“两丝枢纽”以稳港、集聚资源以强港三方面拓展港口腹地纵深,助力港口实现其陆域的现代化,并通过技术输出助力当地工业化与扩大港群布局稳固其腹地根基。郭海认为我国应提出符合自身国情的海洋理论,以海洋作为中国维护国际社会和平稳定的重要手段,以海港作为中国发展海洋战略的重要抓手,并提出需处理好贸易与军事、国家利益与系统利益、外交功能与经贸功能之间的三对矛盾。刘铮认为海洋城市相关规划具有明显的创新型规划特征,提出应进一步开展海洋城市规划创新并实现对创新目标的制度安排,且需从连通性、支撑性、撬动性三方面思考规划创新的突破点,激活海洋城市战略支点作用。

交易或合作?双积分政策下汽车制造商积分策略研究

双积分政策实施后,汽车制造企业须调整生产运营策略以应对政策变化为企业带来的影响。以由一个同时生产传统燃油汽车和新能源汽车的汽车制造商和经销商组成的汽车供应链为研究对象,构建汽车制造商的交易策略和合作策略模型,比较不同策略下汽车供应链的分散决策和集中决策;对比分析不同投资金额时汽车制造商的最优积分策略。研究表明汽车制造商可通过直接交易或与其他汽车制造商合作的方式获取新能源正积分;不论汽车制造商选择交易策略或合作策略,汽车供应链集中决策比分散决策更优;当投入的金额较小时,合作策略更有优势;通过收益共享契约协调后,供应链成员收益达到帕累托最优。

手机直连卫星关键技术分析与发展展望

手机直连卫星技术的快速发展是卫星载荷技术突破、手机终端技术创新、体制标准制定并验证等多种因素叠加的结果,通过对手机直连卫星发展现状的介绍,总结了手机直连卫星的2条技术路线和3种实现方式。面对星地频率共用、星载天线、星载基站等技术瓶颈,结合实际系统和应用场景给出了重点研究内容。探讨了作为5G通信重要组成部分和6G通信基础支撑的手机直连卫星技术未来的发展方向。