A novel architecture for computing the fast Fourier transform ( FFT ) on programmable devices is presented.To improve the system operation speed , a hybrid parallel FFT algorithm is used.Results indicate that the use ...A novel architecture for computing the fast Fourier transform ( FFT ) on programmable devices is presented.To improve the system operation speed , a hybrid parallel FFT algorithm is used.Results indicate that the use of an 8×8parallel structure for realizing the 64-point FFT leads to a 8times higher processing speed compared with its counterparts employing other series of techniques.展开更多
Radio frequency identification(RFID) technology has been extensively used in various practical applications, such as inventory management and logistics control, with its outstanding features(e.g. non-line-ofsight read...Radio frequency identification(RFID) technology has been extensively used in various practical applications, such as inventory management and logistics control, with its outstanding features(e.g. non-line-ofsight reading and fast identification). And in a large RFID system, unknown tag identification uses total execution time as the performance criterion. However, the performance of existing protocols in terms of execution time is not ideal. To get better time efficiency, a novel unknown tag identification protocol(NUTIP) is proposed. The novelty of NUTIP is demonstrated mainly in two aspects: i) NUTIP deactivates some known tags and identifies or labels some unknown tags during its first phase to prevent these tags from interfering unknown tag identification. ii) We optimize the parameter settings to minimize the total execution time. Simulation experiments show that the proposed protocol is far superior to other relevant protocols and suitable for both sparse unknown tags environment and dense unknown tags environment.展开更多
As a new promising paradigm, cloud computing can make good use of economics of scale and elastically deliver almost any IT related services on demand. Nevertheless, one of the key problems remaining in cloud computing...As a new promising paradigm, cloud computing can make good use of economics of scale and elastically deliver almost any IT related services on demand. Nevertheless, one of the key problems remaining in cloud computing is related to virtual machine images, which require a great amount of space/time to reposit/provision, especially with diverse requests from thousands of users simultaneously. In this paper, by using the splitting and eliminating redundant data techniques, a space and time efficient approach for virtual machines is proposed. The experiments demonstrate that, compared with existing solutions, our approach can conserve more disk space and speed up the provisioning of virtual machines.展开更多
基金Supported by the National Natural Science Foundation of China(60801052)the Aeronautical Science Foundation of China(2009ZC52036)+1 种基金the Ph.D.Programs Foundation of China's Ministry of Education(200802871056)the Nanjing University of Aeronautics & Astronautics Research Funding(NS2010109,NS2010114)
文摘A novel architecture for computing the fast Fourier transform ( FFT ) on programmable devices is presented.To improve the system operation speed , a hybrid parallel FFT algorithm is used.Results indicate that the use of an 8×8parallel structure for realizing the 64-point FFT leads to a 8times higher processing speed compared with its counterparts employing other series of techniques.
基金supported by the National Natural Science Foundation of China (No. 61371092)the National Natural Science Foundation of China (No. 61540022)the Graduate Innovation Fund of Jilin University Project (No. 2016091)
文摘Radio frequency identification(RFID) technology has been extensively used in various practical applications, such as inventory management and logistics control, with its outstanding features(e.g. non-line-ofsight reading and fast identification). And in a large RFID system, unknown tag identification uses total execution time as the performance criterion. However, the performance of existing protocols in terms of execution time is not ideal. To get better time efficiency, a novel unknown tag identification protocol(NUTIP) is proposed. The novelty of NUTIP is demonstrated mainly in two aspects: i) NUTIP deactivates some known tags and identifies or labels some unknown tags during its first phase to prevent these tags from interfering unknown tag identification. ii) We optimize the parameter settings to minimize the total execution time. Simulation experiments show that the proposed protocol is far superior to other relevant protocols and suitable for both sparse unknown tags environment and dense unknown tags environment.
文摘目的 探讨以时效性激励理论为基础的护理对老年2型糖尿病(T2DM)患者遵医行为和自我护理能力的影响,以期为临床治疗提供参考。方法 本研究选取郑州市第七人民医院2019年4月—2021年8月收治的98例老年T2DM患者为研究对象。采用随机数字表法将患者分为观察组与常规组,每组49例。常规组患者采用常规护理。观察组患者在常规组护理基础上采用以时效性激励理论为基础的护理。比较2组患者干预前及出院时自制适应性量表、汉密尔顿焦虑量表(HAMA)、汉密尔顿抑郁量表(HAMD)、健康促进生活方式量表Ⅱ(HPLPⅡ)、自我护理能力测定量表评分及空腹血糖(FBG)、餐后2 h血糖(2 h PBG)、糖化血红蛋白(HbA1c)水平。出院时比较2组患者遵医情况。结果 观察组患者适应优良率、遵医率均高于常规组,差异均有统计学意义(P<0.05)。出院时,2组患者HAMA及HAMD评分及FBG、2 h PBG、HbA1c水平均低于干预前,且观察组低于常规组,差异均有统计学意义(P<0.05)。出院时,2组患者HPLPⅡ中健康责任感、运动锻炼、营养、自我实现、人际关系、压力管理评分及自我护理能力测定量表中自我概念、自我责任感及自我护理技能评分均高于干预前,且观察组高于常规组,差异均有统计学意义(P<0.05)。结论 对老年T2DM患者采用以时效性激励理论为基础的护理进行干预,可改善患者心理状态,提高患者适应性,强化患者的遵医行为,促进患者健康行为的养成,并可提高患者自我护理能力,进而降低血糖水平,效果显著,值得临床推广应用。
基金Project supported by the Shanghai Leading Academic Discipline Project(Grant No.J50103)the Natural Science Foundation of Shanghai Municipality(Grant No.10Z1411600)+1 种基金the Innovation Foundation of Shanghai Municipal Education Commission(Grant No.10YZ18)the National Science and Technology Major Project(Grant No.LX101102103)
文摘As a new promising paradigm, cloud computing can make good use of economics of scale and elastically deliver almost any IT related services on demand. Nevertheless, one of the key problems remaining in cloud computing is related to virtual machine images, which require a great amount of space/time to reposit/provision, especially with diverse requests from thousands of users simultaneously. In this paper, by using the splitting and eliminating redundant data techniques, a space and time efficient approach for virtual machines is proposed. The experiments demonstrate that, compared with existing solutions, our approach can conserve more disk space and speed up the provisioning of virtual machines.
