2020 5th International Conference on Universal Village (UV)最新文献

{"title":"Albedo Changes Drive 4.9 to 9.4C Global Warming by 2400","authors":"G. Fry","doi":"10.1109/UV50937.2020.9426219","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426219","url":null,"abstract":"This study ties increasing climate feedbacks to projected warming consistent with temperatures when Earth last had this much CO2 in the air. The relationship between CO2 and temperature in a Vostok ice core is used to extrapolate temperature effects of today’s CO2 levels. The results suggest long-run equilibrium global surface temperatures (GSTs) 5 degrees Celsius warmer than immediately \"pre-industrial\" (1880). The relationship derived holds well for warmer conditions 4 and 14 million years ago (Mya). Adding CH4 data from Vostok yields 8.5 degrees Celsius warming due to today’s CO2 and CH4 levels. Long-run climate sensitivity to doubled CO2, given Earth’s current ice state, is estimated to be 8.2 degrees Celsius: 1.8 directly from CO2 and 6.4 from albedo effects. Based on the Vostok equation using CO2 only, holding change in GST to 2 degrees Celsius requires 318 ppm CO2. This means Earth’s remaining carbon budget is estimated to be negative 313 billion tonnes. Meeting this target will require very large-scale CO2 removal. Lagged warming of 4.0 degrees Celsius (or 7.4 when CH4 is included), starting from today’s 1.1 degree Celsius change in GST, comes mostly from albedo changes. Their effects are estimated here for ice, snow, sulfates, and cloud cover. This study estimates magnitudes for sulfates and for future snow changes. Magnitudes for ice, cloud cover, and past snow changes are drawn from the literature. Albedo changes, plus their water vapor multiplier, caused an estimated 39 percent of observed GST warming over 1975-2016. Estimated warming effects on GST by water vapor; ocean heat; and net natural carbon emissions (from permafrost, etc.), all drawn from the literature, are included in projections alongside ice, snow, sulfates, and clouds. Six scenarios embody these effects. Projected change in GSTs on land by 2400 range from 2.4 to 9.4 degrees Celsius. Phasing out fossil fuels by 2050 yields 7.1. Ending fossil fuel use immediately yields 4.9, similar to the 5.1 inferred from paleoclimate studies for current CO2 levels. Fossil fuel phase-out by 2050 coupled with removing 71 percent of CO2 emitted to date yields 2.4 degrees Celsius. At the other extreme, postponing peak fossil fuel use to 2035 yields 9.4 degrees Celsius GST, with more warming after 2400.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analytical-Solution-Based Autopilot Design for Airdrop of Cruise Missile Equiped with Parachute","authors":"Mengya Gao, W. Chen, Wenbin Yu","doi":"10.1109/UV50937.2020.9426211","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426211","url":null,"abstract":"after being delivered from aircraft, a cruise missile needs to decelerate by parachute to meet the requirements for engine ignition, especially on altitude, speed, and angle of attack (AOA). Thus, a new autopilot design problem arises, where the effect of parachute should be taken into account. During the falling, the parachute exerts a huge force on the missile through the hinge point, which makes the traditional autopilot lose potency. In this paper, the analytical solution for hinge force is deduced and used to establish a new attitude dynamics model. By linearizing the new dynamics model and using pole placement method, a new three loop autopilot considering the effect of parachute is put forward. The superiority of the new autopilot is verified by conducting trajectory simulations.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"476 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116523241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rural Smart Elderly Care Model: China’s Development and Challenges","authors":"Yangming Hu, Rengui Gong, Jiawen Peng, Xianmei Liu, Xin Wang, Zifeng Liu, Jun-Fei Luo, Hui Lin","doi":"10.1109/UV50937.2020.9426202","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426202","url":null,"abstract":"Under the background of moderate aging population and rapid development of intelligent technology, smart elderly care has become one of the effective solutions to the problem of home-based care in rural China. The smart elderly care in China’s rural areas is still in the exploration stage, and academic research divides the smart elderly care into smart home-based elderly care service, smart medical elderly care service and smart institutional elderly care service. The government, enterprises and social organizations play different roles in providing smart elderly care services, and there are mainly three supply modes. The smart endowment model still faces many challenges in China’s rural practice in the future. For example, challenges in the whole process of digital management, big data sharing and integration technology, as well as challenges in the ethical aspects of the elderly’s adaptation to smart elderly care model, optimization of smart elderly care equipment, and diversified demands for smart elderly care of the aged. In order to meet the challenges in the future, this paper puts forward countermeasures and suggestions from the following five aspects: promoting the effective integration of digital technology and elderly care system, establishing a standardized system for smart elderly care, enhancing the acceptance of intelligent elderly care model for the aged, promoting the diversification of products and services for smart elderly care, and delaminating to meet the needs of diversified elderly care services for the aged. In order to promote the steady development of intelligent elderly care service in China’s rural areas.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131375666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Community Building in Hangzhou and Shenzhen, China: Lessons and Experiences","authors":"Jingang Xue, Yangyang Zhang, W. Zhong","doi":"10.1109/UV50937.2020.9426207","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426207","url":null,"abstract":"The paper discusses smart community building experiences and lessons in two of China’s prominent cities: Shenzhen and Hangzhou, both have over 10 million population. The authors reviewed their understanding of the concept of smart cities, their policies and implementation strategies, achievements, issues and problems, and lessons and experiences learned, and future prospects. Efforts are also made to examine smart community practices in other areas of China and in foreign countries. In the end, the authors proposed suggestions for further improvements for future practice.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126426553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven Model with Ensemble Learning Predicting Thermal Runaway of Real Working Condition Vehicles","authors":"David Chang, Weixia Liu, Shujun Cheng, Wenjie Jin, Yuan Li, Chenxi Liu, Xiaonan Li","doi":"10.1109/UV50937.2020.9507582","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9507582","url":null,"abstract":"Battery failure is a big obstacle that should be tackled for new energy vehicles, and thermal runaway is one of the principal threats, causing vehicle fire and leading to casualties. So, it is urgent and vital to developing an algorithm that can predict if and when the thermal runaway will happen and then send alerts to passengers. Nevertheless, it is hard to make a precise prediction because the causing factors of thermal runaway are complicated and comprehensive, and it can not only be triggered from inside the power battery but also from the external force. We aim to make more accurate predictions as much as possible; thus, we construct a combined machine learning algorithm that is highly accurate and flexible to predict the probability of lithium battery thermal runaway that happens in real life. By considering voltage and temperature, abnormal current, single battery consistency, and overcharge risk factor separately, we build a stacked model consisting of five sub-models linked with grid-search chosen hyperparameters.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Prefetching Scheme for Non-Volatile Cache in the AIoT Processor","authors":"Mao Ni, Lan Chen, Xiaoran Hao, Hao Sun, Chenji Liu, Zhen Zhang, Lesong Wu, Lei Pan","doi":"10.1109/UV50937.2020.9426214","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426214","url":null,"abstract":"Artificial intelligence Internet of Things (AIoT) systems need more processing capability and low energy consumption on the terminals. Increasing the cache capacity at the architecture level can effectively reduce the cache missing rate and the number of off-chip memory access, which improves the performance of processors. Because of the limitation of the storage density and high leakage currents, improving SRAM cache capacity will lead to big chip area and high power consumption of processors. Emerging non-volatile memory (NVM), such as spin-transfer torque RAM (STT-RAM), has some characters such as bit width read/write and short read/write latency which are attractive options for replacing or augmenting SRAM. However, the asymmetric read/write latency of NVM brings some new challenges in designing caches. In this paper, we introduce a method to bring STT-RAM into the cache system of AIoT processors. Experimental results show that if we replace SRAM L2 cache with the same sized STT-RAM L2 cache, the out-of-order processor performance is improved up to 10 percent. We first find that for the STT-RAM cache, although the better-performing stream-based data prefetch configuration can improve the processor performance, the amount of prefetching data also increases obviously, which has negative effect on the processor performance because of the cache congestion caused by STT-RAM’s long write latency. This paper presents a novel stream-based prefetch method ANCP (Adaptive Non-volatile Cache Prefetch) to reduce the amount of prefetch-write on STT-RAM. Compared with the best-performing stream-based data prefetch configuration, ANCP reduces the prefetching issued by 11 percent on average, which obtains additional up to 8 percent performance improvement of the AIoT processor.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127867241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Innovative Algorithm to Process Imaging Data for Detection of Weak Chick Embryos in Vaccine Production","authors":"Lei Chen, Lei Geng, Zenglai Gao, Shoujun Li, Xubin Fu, Weishi Wang, Yuanbo Feng, Shuncong Wang, Yue Li, Yajun Fang, Stanley Tao, Y. Ni, Zhongqiang Wang","doi":"10.1109/UV50937.2020.9426201","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426201","url":null,"abstract":"Efficient and accurate detection of weak embryos often requires the detection and classification of both weak and live embryos over a specific period. In this work, we image, detect and classify weak and live embryos hatched between the 9th and 15th day. We introduce a new method called Weak Embryo Detection Network (WEDNet), which is a weak embryo detection method based on a multiscale-feature fusion convolution neural network. First, we broaden the expand convolution layer of the Fire module to implement a multiscale feature extraction using a lightweight network SqueezeNet structure, where convolution kernels of different sizes are stored. A residual connection method is introduced between adjacent modules to achieve feature fusion between layers. Furthermore, a residual multiscale Fire block (RMFB) is proposed. WEDNet is then formed by a cascade of RMFB modules. A batch normalization layer is introduced into the network structure to speed up the network's convergence speed and a dropout method is adopted to suppress the overfitting phenomenon due to the increase of the network’s width and depth. Experimental results show that the method proposed in this paper can reach 99.35% detection accuracy, which can achieve good selection of weak embryos.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130291513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dog Image Generation using Deep Convolutional Generative Adversarial Networks","authors":"Zhongkai Shangguan, Yue Zhao, Wei Fan, Zhehan Cao","doi":"10.1109/UV50937.2020.9426213","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426213","url":null,"abstract":"Generative Adversarial Networks (GAN) serve as an important position of the data generation models, providing possibility for generating nonexistent images, style transfer, back-ground masking, alternative faces, etc. However, the generated images are becoming more and more realistic, which has raised the concern of people's privacy. In this paper, we implemented a Deep Convolutional Generative Adversarial Network (DCGAN) to show how to generate novel dog images from noise. We improved the performance of the basic DCGAN by applying different tricks, including adding noise to the training images, excute input normalization and batch normalization, comparing different activation functions, and using soft labels. The purpose of all these tricks is to synchronize the learning process between generator and discriminator as well as introduce stochasticity. The performance evaluation is based on Memorization-informed Frechet Inception Distance (MiFID) and results show that the MiFID value of our model reached outstanding performance, which is 95.85.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122127187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Smart Environmental Protection Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability","authors":"Hao Yuan, Zetong Yin, Chenjun Zhao, Zhiyuan Yang, S. Gao, Sinuo Zhao, Lixin Xu, Tian Tan, Yajun Fang","doi":"10.1109/UV50937.2020.9426222","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426222","url":null,"abstract":"At present, rapid urbanization is bringing convenience and high efficiency to our daily lives, but the increase in GDP comes with the cost of high metabolic rates, high waste per capita, severe lack of resources, heavy pollution, and waste siege. This cost-expensive lifestyle leads to severe environmental degradation and soaring resource consumption. In this paper, we evaluate, from the UV perspective, the challenges of the environment system, including land pollution, water pollution and air pollution, and the current status of smart environmental protection systems based on the framework of closed feedback control loop: data acquisition, communication, decision-making and action. We propose that effective smart environmental protection should take into consideration the interaction between environmental protection subsystems and other seven smart city subsystems: smart home, smart medicine and healthcare, intelligent transportation, urban planning and crowd management, smart energy management, smart city infrastructure, smart response system for city emergency, and smart humanity, and also study how smart environmental protection would be affected by four major impacting factors of smart cities: information flow, material cycle, lifestyle and community. This systematic study will help us explore in depth the complicated dynamic relationship between multiple impacting factors and propose a UV-oriented, integrated, resilient, inclusive and sustainable development framework design to address current imminent challenges and to improve our living environment through real-time monitoring of pollution, crowd-sourcing based on hazard reports, identification of pollution sources, preventive waste and pollution control based on comprehensive management of material cycles and personalized lifestyle guidance and suggestions.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130454333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of an Adaptive ECG Signal Processing System Based on Compressed Sensing","authors":"Yaguang Yang, Fang Huang, Fei Long, Yongzhong Tang","doi":"10.1109/UV50937.2020.9426192","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426192","url":null,"abstract":"With the rapid development of modern mobile communication technologies, the wireless body sensor network (WBSN) becomes more and more important in medical treatment, especially for non-hospital patients. In general, the data amount transmitted in the WBSN system is large. Hence, developing low- complexity signal processing methods is important. In this paper, we investigate the electrocardiogram (ECG) signal processing based on the compressed sensing (CS) technique. The performances of four typical recovery algorithms in CS, namely, basis pursuit algorithm, orthogonal matching pursuit algorithm, compressive sampling MP algorithm, and block sparse Bayesian learning algorithm, are evaluated by simulation. Based on the evaluation results, we design an adaptive CS-based ECG signal processing system, which can achieve satisfactory performances while adaptively adjusting the data amount transited according to the channel state.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125339787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}