A new inorganic-organic hybrid constructed from α-octamolybdate polyoxometalates modified by hexad- track Cu―bpe chains, 2{[Cu（bpe）]6[α-Mo8O26]3/2}·[Cu（bpe）]3·3H2O[1, bpe=bis（4-pyridyl）ethylene], ha...A new inorganic-organic hybrid constructed from α-octamolybdate polyoxometalates modified by hexad- track Cu―bpe chains, 2{[Cu（bpe）]6[α-Mo8O26]3/2}·[Cu（bpe）]3·3H2O[1, bpe=bis（4-pyridyl）ethylene], has been synthesized and structurally characterized. X-Ray diffraction analysis reveals that each α-octamolybdate cluster links six transition metal complex chains and the title compound has represented the highest connective number of M―N chains modified octamolybdate POMs to date. Note that there are two crystallographically unique [α-Mo8O26]n- clusters and eight unique copper sites, which play an important role in the overall architecture of hybrid compounds. Additionally, the electrochemical properties of the title compound were studied.展开更多
Radio frequency identification (RFID) has emerged as a pivotal technology in supply chain management (SCM), significantly enhancing its efficiency and effectiveness. When integrated with the internet of things (IoT) t...Radio frequency identification (RFID) has emerged as a pivotal technology in supply chain management (SCM), significantly enhancing its efficiency and effectiveness. When integrated with the internet of things (IoT) to form RFID-IoT, this technology brings transformative advancements to SCM, enabling automated sensing, pervasive computing, and ubiquitous data access across the entire supply chain, from manufacturers and distributors to retailers and consumers. This integration facilitates real-time identification and monitoring of products, enhances various processes, improves logistic tracking, and ensures better product quality management. Despite its promising benefits, the adoption of RFID-IoT in SCM faces several challenges, including technical complexities, data security concerns, and high implementation costs. However, the future potential of RFID-IoT technology remains substantial. It is anticipated that further integration with other emerging technologies, such as block chain and artificial intelligence, will lead to more comprehensive and robust SCM solutions, offering unprecedented levels of transparency, efficiency, and automation in supply chain operations.展开更多
In radar target tracking application, the observation noise is usually non-Gaussian, which is also referred as glint noise. The performances of conventional trackers degra de severely in the presence of glint noise. A...In radar target tracking application, the observation noise is usually non-Gaussian, which is also referred as glint noise. The performances of conventional trackers degra de severely in the presence of glint noise. An improved particle filter, Markov chain Monte Carlo particle filter (MCMC-PF), is applied to cope with radar target tracking when the measurements are perturbed by glint noise. Tracking performance of the filter is demonstrated in the present of glint noise by computer simulation.展开更多
This paper presents augmented input estimation(AIE)for multiple maneuvering target tracking.Multi-target tracking(MTT)is based on two main parts,data association and estimation.In data association(DA),the best observa...This paper presents augmented input estimation(AIE)for multiple maneuvering target tracking.Multi-target tracking(MTT)is based on two main parts,data association and estimation.In data association(DA),the best observations are assigned to the considered tracks.In real conditions,the number of observations is more than targets and also locations of observations are often so scattered that the association between targets and observations cannot be done simply.In this case,for general MTT problems with unknown numbers of targets,we present a Markov chain Monte-Carlo DA(MCMCDA)algorithm that approximates the optimal Bayesian filter with low complexity in computations.After DA,estimation and tracking should be done.Since in general cases,many targets can have maneuvering motions,then AIE is proposed to cover both the non-maneuvering and maneuvering parts of motion and the maneuver detection procedure is eliminated.This model with an input estimation(IE)approach is a special augmentation in the state space model which considers both the state vector and the unknown input vector as a new augmented state vector.Some comparisons based on the Monte-Carlo simulations are also made to evaluate the performances of the proposed method and other older methods in MTT.展开更多
A method of designing guided chain drive mechanism with linkage basing on the given motion track is expounded. The method consists of two steps that are synthesizing four bar linkage approximately first and then dedu...A method of designing guided chain drive mechanism with linkage basing on the given motion track is expounded. The method consists of two steps that are synthesizing four bar linkage approximately first and then deducing guide track, removing crank and jointing free end with chain. An example of synthesis that can realize the given motion track precisely is provided.展开更多
A method of analyzing the motion of guided chain drive mechanism with linkages is presented. The method studies the output motion of a point on connecting rod including motion track, velocity and acceleration.
基金Supported by the National Natural Science Foundation of China(Nos.20901031 and 21071029)the Natural Science Foundation of Heilongjiang Province+4 种基金China(No.B200916)the Education Ministry Key Teachers Foundation of Heilongjiang ProvinceChina(No.1155G53)the Talent Training Fund of Jiamusi University China(No.RC2009-034)
文摘A new inorganic-organic hybrid constructed from α-octamolybdate polyoxometalates modified by hexad- track Cu―bpe chains, 2{[Cu（bpe）]6[α-Mo8O26]3/2}·[Cu（bpe）]3·3H2O[1, bpe=bis（4-pyridyl）ethylene], has been synthesized and structurally characterized. X-Ray diffraction analysis reveals that each α-octamolybdate cluster links six transition metal complex chains and the title compound has represented the highest connective number of M―N chains modified octamolybdate POMs to date. Note that there are two crystallographically unique [α-Mo8O26]n- clusters and eight unique copper sites, which play an important role in the overall architecture of hybrid compounds. Additionally, the electrochemical properties of the title compound were studied.
文摘Radio frequency identification (RFID) has emerged as a pivotal technology in supply chain management (SCM), significantly enhancing its efficiency and effectiveness. When integrated with the internet of things (IoT) to form RFID-IoT, this technology brings transformative advancements to SCM, enabling automated sensing, pervasive computing, and ubiquitous data access across the entire supply chain, from manufacturers and distributors to retailers and consumers. This integration facilitates real-time identification and monitoring of products, enhances various processes, improves logistic tracking, and ensures better product quality management. Despite its promising benefits, the adoption of RFID-IoT in SCM faces several challenges, including technical complexities, data security concerns, and high implementation costs. However, the future potential of RFID-IoT technology remains substantial. It is anticipated that further integration with other emerging technologies, such as block chain and artificial intelligence, will lead to more comprehensive and robust SCM solutions, offering unprecedented levels of transparency, efficiency, and automation in supply chain operations.
文摘In radar target tracking application, the observation noise is usually non-Gaussian, which is also referred as glint noise. The performances of conventional trackers degra de severely in the presence of glint noise. An improved particle filter, Markov chain Monte Carlo particle filter (MCMC-PF), is applied to cope with radar target tracking when the measurements are perturbed by glint noise. Tracking performance of the filter is demonstrated in the present of glint noise by computer simulation.
文摘This paper presents augmented input estimation(AIE)for multiple maneuvering target tracking.Multi-target tracking(MTT)is based on two main parts,data association and estimation.In data association(DA),the best observations are assigned to the considered tracks.In real conditions,the number of observations is more than targets and also locations of observations are often so scattered that the association between targets and observations cannot be done simply.In this case,for general MTT problems with unknown numbers of targets,we present a Markov chain Monte-Carlo DA(MCMCDA)algorithm that approximates the optimal Bayesian filter with low complexity in computations.After DA,estimation and tracking should be done.Since in general cases,many targets can have maneuvering motions,then AIE is proposed to cover both the non-maneuvering and maneuvering parts of motion and the maneuver detection procedure is eliminated.This model with an input estimation(IE)approach is a special augmentation in the state space model which considers both the state vector and the unknown input vector as a new augmented state vector.Some comparisons based on the Monte-Carlo simulations are also made to evaluate the performances of the proposed method and other older methods in MTT.
文摘A method of designing guided chain drive mechanism with linkage basing on the given motion track is expounded. The method consists of two steps that are synthesizing four bar linkage approximately first and then deducing guide track, removing crank and jointing free end with chain. An example of synthesis that can realize the given motion track precisely is provided.
文摘A method of analyzing the motion of guided chain drive mechanism with linkages is presented. The method studies the output motion of a point on connecting rod including motion track, velocity and acceleration.
