In this paper,we study the normal criterion of meromorphic functions concerning shared analytic function.We get some theorems concerning shared analytic function,which improves some earlier related results.
The study aimed at investigating the neural mechanism of business moral decision-making. 15 participants were presented with a set of 96 dilemmas in business situation. Participants were required to decide between opt...The study aimed at investigating the neural mechanism of business moral decision-making. 15 participants were presented with a set of 96 dilemmas in business situation. Participants were required to decide between option 1 (more utilitarian decision for self benefit) and 2 (ethical decision for fairness or institution). ERPs were recorded to a slide displaying the letter 1 and 2 when subjects were deciding between options. The selection rate was calculated after the experiment as the behavior data. The business moral dilemmas prompted more ethical option. A larger P260 component was elicited in the left frontal lobe area when participants were deciding to act ethically. On the other hand, decisions on utilitarian aroused weaker emotional experience, as supported by the shorter LPC and smaller P260 amplitude.展开更多
Let k, m be two positive integers with m ≤ k and let F be a family of zero-free meromorphic functions in a domain D, let h(z) ≡ 0 be a meromorphic function in D with all poles of h has multiplicity at most m. If, fo...Let k, m be two positive integers with m ≤ k and let F be a family of zero-free meromorphic functions in a domain D, let h(z) ≡ 0 be a meromorphic function in D with all poles of h has multiplicity at most m. If, for each f ∈ F, f(k)(z) = h(z) has at most k- m distinct roots(ignoring multiplicity) in D, then F is normal in D. This extends the results due to Chang[1], Gu[3], Yang[11]and Deng[1]etc.展开更多
<strong>Objective: </strong>The quantum dots are the useful materials in microelectronics and biomedical research. However its toxicity has to be considered. We studied the effect of cell inhibition with Z...<strong>Objective: </strong>The quantum dots are the useful materials in microelectronics and biomedical research. However its toxicity has to be considered. We studied the effect of cell inhibition with ZnS core quantum dots and CdTe quantum dots modified with Thioglycolic acid or Cysteine functional group (TGA-CdTe, TGA-CdTe/ZnS, Cys-CdTe, Cys-CdTe/ZnS) on Caco-2 cell proliferation. <strong>Methods</strong>: We studied the effect of cell inhibition with ZnS core QDs and CdTe QDs modified with functional group on Caco-2 cell proliferation by MTT assay at 0, 12.5, 25, 50, 100 μg/ml and 6, 24, 48 h. <strong>Result:</strong> Our results showed that all QDs have inhibited cell proliferation and reached maximum 79.21%. The inhibition rate of Cys-modified QDs increased with the increase of concentration and reached maximum 66.72%. The inhibition rate of TGA-modified QDs increased with the increase of time. The ratios of Cys-modified to TGA-modified were less than 1 at all concentrations and three exposure times (P ≤ 0.01). The average ratios of Cys-CdTe/ZnS to Cys-CdTe reached 1.11 only for 48 h (P ≤ 0.05). The ratios of TGA-CdTe/ZnS to TGA-CdTe were closed to 1 at all concentrations and exposure times. <strong>Conclusion:</strong> The regularity of QDs modified with functional group is that inhibition of TGA-modified higher than Cys-modified. Inhibition exhibited dose-dependent for Cys-modified while exhibited time-dependent for TGA-modified. The regularity of CdTe-QDs with ZnS or not is that the inhibition of Cys-CdTe/ZnS was higher than Cys-CdTe while TGA-CdTe/ZnS and TGA-CdTe were consistent.展开更多
<strong>Purpose:</strong> The aim of the present study was to determine the degree of using floss and the demographic characteristics of medical faculties of Inner Mongolia Medical University. <strong&g...<strong>Purpose:</strong> The aim of the present study was to determine the degree of using floss and the demographic characteristics of medical faculties of Inner Mongolia Medical University. <strong>Materials and Methods:</strong> Participants completed the questionnaire in the classroom. These participants came from the medical faculties of Chinese Medicine and Western Medicine. These participants were interviewed to determine the demographic characteristics. Non-flossors responded according to their reasons for not flossing. <strong>Results:</strong> A total of 3481 effective data were available for analysis. The floss prevalence was 17.21%, which was lower by 5.72% for students living in rural areas, when compared to students living in urban areas. The largest proportion of non-flossing participants in rural areas answered, “I do not know what a floss is”, while participants in urban answered, “I do not want to use it”. The largest proportion of answered flossing frequency was less than once a month. <strong>Conclusion:</strong> The present study indicates that the prevalence of using floss in medical faculties in Inner Mongolia Medical University was higher, when compared to that in Sichuan province, China, but lower than that in other countries. Although the students use floss, more than one-third of students use floss less than once a month, which is close to “never”. The prevalence in rural areas is lower than those in urban areas. Male not only comprises the total number of prevalence, but also has a frequency greater than that in females. The emphasis on using floss should be improved in medical students.展开更多
International development is a challenge that each university must face.The educational mechanism of private undergraduate universities is flexible,and has certain advantages in expanding international education progr...International development is a challenge that each university must face.The educational mechanism of private undergraduate universities is flexible,and has certain advantages in expanding international education programs.Sino-foreign credit mutual recognition programs are more common in private undergraduate universities.With the continuous development of resources and models on international education cooperation,the forms of Sino-foreign credits mutual recognition cooperation are becoming more diversified.The rapid development of Chinese and foreign credit recognition education programs in private undergraduate universities requires scientific and advanced management concepts and support.Young private universities have short international development time and lack of experience.Therefore,relevant issues should be more researched.This paper analyzes the problems and challenges in the education mode and management of Sino-foreign credit mutual recognition projects in private undergraduate universities,and puts forward relevant countermeasures.展开更多
Let F be a family of functions meromorphic in a domain D, let m, n k , k be three positive integers and b be a finite nonzero complex number. Suppose that, (1) for eachf∈F, all zeros of f have multiplicities at least...Let F be a family of functions meromorphic in a domain D, let m, n k , k be three positive integers and b be a finite nonzero complex number. Suppose that, (1) for eachf∈F, all zeros of f have multiplicities at least k ; (2) for each pair of functions f, g ∈F,P(f)H(f) and P(g)H(g) share b, where P(f) and H(f) were defined as (1.1) and (1.2) and nk ≥ max 1≤i≤k-1 {n i }; (3) m ≥ 2 or nk ≥ 2, k ≥ 2, then F is normal in D.展开更多
Reproducibility is a cornerstone of credible scientific research.The topic gained prominence in fields such as psychology,medicine and artificial intelligence where concerns about non-replicable results sparked ongoin...Reproducibility is a cornerstone of credible scientific research.The topic gained prominence in fields such as psychology,medicine and artificial intelligence where concerns about non-replicable results sparked ongoing discussions about research practices.However,its status within machine learning for building systems is underexamined.Therefore,this work contributes to closing this gap by analyzing the reproducibility of machine learning-based fault detection and diagnosis studies published over the past decade.We found that nearly all articles are not reproducible due to insufficient disclosure across key dimensions of reproducibility.Notably,72%of the articles do not specify whether the dataset used is public,proprietary,or commercially available.Only two papers share a link to their code,one of which was broken.Two-thirds of the publications were authored exclusively by academic researchers,yet no significant differences in reproducibility were observed compared to publications with industry-affiliated authors.These findings highlight the need for targeted interventions,including reproducibility guidelines,training for researchers,and policies by journals and conferences that promote transparency and reproducibility.展开更多
Nowadays, more and more users share real-time news and information in micro-blogging communities such as Twitter, Tumblr or Plurk. In these sites, information is shared via a followers/followees social network structu...Nowadays, more and more users share real-time news and information in micro-blogging communities such as Twitter, Tumblr or Plurk. In these sites, information is shared via a followers/followees social network structure in which a follower will receive all the micro-blogs from the users he/she follows, named followees. With the increasing number of registered users in this kind of sites, finding relevant and reliable sources of information becomes essential. The reduced number of characters present in micro-posts along with the informal language commonly used in these sites make it difficult to apply standard content-based approaches to the problem of user recommendation. To address this problem, we propose an algorithm for recommending relevant users that explores the topology of the network considering different factors that allow us to identify users that can be considered good information sources. Experimental evaluation conducted with a group of users is reported, demonstrating the potential of the approach.展开更多
Because trust is regarded as an essential secured relationship within a distributed network environment,selecting services over the Internet from the viewpoint of trust has been a major trend.Current research about tr...Because trust is regarded as an essential secured relationship within a distributed network environment,selecting services over the Internet from the viewpoint of trust has been a major trend.Current research about trust model and evaluation in the context of Web services does not rationally and accurately reflect some essential characteristics of trust such as subjective uncertainty and dynamism.In this paper,we analyze some important characteristics of trust,and some key factors that affect the trust relation in the Web service environment.Accordingly,we propose a trust model based on Cloud Model theory to describe the subjective uncertainty of trust factors.A time-related backward cloud generation algorithm is given to express the dynamism of trust.Furthermore,according to the trust model and algorithm,a formalized calculation approach is provided to evaluate the trust degree of services requestors in providers.Our experiment shows that the evaluation of trust degree can effectively support trust-decisions and provide a helpful exploitation for selecting services based on the viewpoint of trust.展开更多
A novel technique for reconstructing fluid surface from video is introduced.Both fluid motion vectors as well as Lattice Boltzmann Method(LBM)are employed in the study.Region-based correlation method is used to initia...A novel technique for reconstructing fluid surface from video is introduced.Both fluid motion vectors as well as Lattice Boltzmann Method(LBM)are employed in the study.Region-based correlation method is used to initialize motion vectors field,after clustering fluid motion vector results can be obtained.Then the height geometry information of fluid surface can be calculated from fluid motion vector further.At last,the distribution of fluid particle is interpolated and the height field can be further refined.Reconstruction results are demonstrated with several challenge videos.The experimental results show that the method is convenient and efficient.The calculation results can reflect the characteristics of the fluid movement,and it is a valid method for reconstructing fluid surface.展开更多
Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform c...Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.展开更多
Despite the rapid development of mobile and embedded hardware, directly executing computationexpensive and storage-intensive deep learning algorithms on these devices’ local side remains constrained for sensory data ...Despite the rapid development of mobile and embedded hardware, directly executing computationexpensive and storage-intensive deep learning algorithms on these devices’ local side remains constrained for sensory data analysis. In this paper, we first summarize the layer compression techniques for the state-of-theart deep learning model from three categories: weight factorization and pruning, convolution decomposition, and special layer architecture designing. For each category of layer compression techniques, we quantify their storage and computation tunable by layer compression techniques and discuss their practical challenges and possible improvements. Then, we implement Android projects using TensorFlow Mobile to test these 10 compression methods and compare their practical performances in terms of accuracy, parameter size, intermediate feature size,computation, processing latency, and energy consumption. To further discuss their advantages and bottlenecks,we test their performance over four standard recognition tasks on six resource-constrained Android smartphones.Finally, we survey two types of run-time Neural Network(NN) compression techniques which are orthogonal with the layer compression techniques, run-time resource management and cost optimization with special NN architecture,which are orthogonal with the layer compression techniques.展开更多
Lack of physical activity is becoming a killer of our healthy life. As a solution for this negative impact, we propose SmartCare to help users to set up a healthy physical activity habit. SmartCare can monitor a user...Lack of physical activity is becoming a killer of our healthy life. As a solution for this negative impact, we propose SmartCare to help users to set up a healthy physical activity habit. SmartCare can monitor a user＇s activities over a long time, and then provide activity quality assessment and suggestion. SmartCare consists of three parts, activity recognition, energy saving, and health feedback. Activity recognition can recognize nine kinds of daily activities. A hybrid classifier that uses less power and memory with satisfactory accuracy was designed and implemented by utilizing the periodicity of target activity. In addition, a learning-based energy saver was introduced to reduce energy consumption by adjusting sampling rates and the set of features adaptively. Based on the type and duration of the activity recorded, health feedback in terms of the calorie burned was given. The system could provide quantitative activity quality assessment and recommend future physical activity plans. Through extensive real-life testing, the system is shown to achieve an average recognition accuracy of 98.0% with a minimized energy expenditure.展开更多
Diagnosis is of great importance to wireless sensor networks due to the nature of error prone sensor nodes and unreliable wireless links. The state-of-the-art diagnostic tools focus on certain types of faults, and the...Diagnosis is of great importance to wireless sensor networks due to the nature of error prone sensor nodes and unreliable wireless links. The state-of-the-art diagnostic tools focus on certain types of faults, and their performances are highly correlated with the networks they work with. The network administrators feel difficult in measuring the effectiveness of their diagnosis approaches and choosing appropriate tools so as to meet the reliability demand. In this work, we introduce the D-vector to characterize the property of a diagnosis approach. The D-vector has five dimensions, namely the degree of coupling, the granularity, the overhead, the tool reliability and the network reliability, quantifying and evaluating the effectiveness of current diagnostic tools in certain applications. We employ a skyline query algorithm to find out the most effective diagnosis approaches, i.e., skyline points（SPs）, from five dimensions of all potential D-vectors. The selected skyline D-vector points can further guide the design of various diagnosis approaches. In our trace-driven simulations, we design and select tailored diagnostic tools for GreenOrbs, achieving high performance with relatively low overhead.展开更多
基金Supported by the National Natural Science Foundation of China(Grant No.11961068).
文摘In this paper,we study the normal criterion of meromorphic functions concerning shared analytic function.We get some theorems concerning shared analytic function,which improves some earlier related results.
文摘The study aimed at investigating the neural mechanism of business moral decision-making. 15 participants were presented with a set of 96 dilemmas in business situation. Participants were required to decide between option 1 (more utilitarian decision for self benefit) and 2 (ethical decision for fairness or institution). ERPs were recorded to a slide displaying the letter 1 and 2 when subjects were deciding between options. The selection rate was calculated after the experiment as the behavior data. The business moral dilemmas prompted more ethical option. A larger P260 component was elicited in the left frontal lobe area when participants were deciding to act ethically. On the other hand, decisions on utilitarian aroused weaker emotional experience, as supported by the shorter LPC and smaller P260 amplitude.
文摘Let k, m be two positive integers with m ≤ k and let F be a family of zero-free meromorphic functions in a domain D, let h(z) ≡ 0 be a meromorphic function in D with all poles of h has multiplicity at most m. If, for each f ∈ F, f(k)(z) = h(z) has at most k- m distinct roots(ignoring multiplicity) in D, then F is normal in D. This extends the results due to Chang[1], Gu[3], Yang[11]and Deng[1]etc.
文摘<strong>Objective: </strong>The quantum dots are the useful materials in microelectronics and biomedical research. However its toxicity has to be considered. We studied the effect of cell inhibition with ZnS core quantum dots and CdTe quantum dots modified with Thioglycolic acid or Cysteine functional group (TGA-CdTe, TGA-CdTe/ZnS, Cys-CdTe, Cys-CdTe/ZnS) on Caco-2 cell proliferation. <strong>Methods</strong>: We studied the effect of cell inhibition with ZnS core QDs and CdTe QDs modified with functional group on Caco-2 cell proliferation by MTT assay at 0, 12.5, 25, 50, 100 μg/ml and 6, 24, 48 h. <strong>Result:</strong> Our results showed that all QDs have inhibited cell proliferation and reached maximum 79.21%. The inhibition rate of Cys-modified QDs increased with the increase of concentration and reached maximum 66.72%. The inhibition rate of TGA-modified QDs increased with the increase of time. The ratios of Cys-modified to TGA-modified were less than 1 at all concentrations and three exposure times (P ≤ 0.01). The average ratios of Cys-CdTe/ZnS to Cys-CdTe reached 1.11 only for 48 h (P ≤ 0.05). The ratios of TGA-CdTe/ZnS to TGA-CdTe were closed to 1 at all concentrations and exposure times. <strong>Conclusion:</strong> The regularity of QDs modified with functional group is that inhibition of TGA-modified higher than Cys-modified. Inhibition exhibited dose-dependent for Cys-modified while exhibited time-dependent for TGA-modified. The regularity of CdTe-QDs with ZnS or not is that the inhibition of Cys-CdTe/ZnS was higher than Cys-CdTe while TGA-CdTe/ZnS and TGA-CdTe were consistent.
文摘<strong>Purpose:</strong> The aim of the present study was to determine the degree of using floss and the demographic characteristics of medical faculties of Inner Mongolia Medical University. <strong>Materials and Methods:</strong> Participants completed the questionnaire in the classroom. These participants came from the medical faculties of Chinese Medicine and Western Medicine. These participants were interviewed to determine the demographic characteristics. Non-flossors responded according to their reasons for not flossing. <strong>Results:</strong> A total of 3481 effective data were available for analysis. The floss prevalence was 17.21%, which was lower by 5.72% for students living in rural areas, when compared to students living in urban areas. The largest proportion of non-flossing participants in rural areas answered, “I do not know what a floss is”, while participants in urban answered, “I do not want to use it”. The largest proportion of answered flossing frequency was less than once a month. <strong>Conclusion:</strong> The present study indicates that the prevalence of using floss in medical faculties in Inner Mongolia Medical University was higher, when compared to that in Sichuan province, China, but lower than that in other countries. Although the students use floss, more than one-third of students use floss less than once a month, which is close to “never”. The prevalence in rural areas is lower than those in urban areas. Male not only comprises the total number of prevalence, but also has a frequency greater than that in females. The emphasis on using floss should be improved in medical students.
文摘International development is a challenge that each university must face.The educational mechanism of private undergraduate universities is flexible,and has certain advantages in expanding international education programs.Sino-foreign credit mutual recognition programs are more common in private undergraduate universities.With the continuous development of resources and models on international education cooperation,the forms of Sino-foreign credits mutual recognition cooperation are becoming more diversified.The rapid development of Chinese and foreign credit recognition education programs in private undergraduate universities requires scientific and advanced management concepts and support.Young private universities have short international development time and lack of experience.Therefore,relevant issues should be more researched.This paper analyzes the problems and challenges in the education mode and management of Sino-foreign credit mutual recognition projects in private undergraduate universities,and puts forward relevant countermeasures.
基金Foundation item： Supported by the NNSF of China（11071083） Supported by the National Natural Science Foundation of Tianyuan Foundation（11126267）
文摘Let F be a family of functions meromorphic in a domain D, let m, n k , k be three positive integers and b be a finite nonzero complex number. Suppose that, (1) for eachf∈F, all zeros of f have multiplicities at least k ; (2) for each pair of functions f, g ∈F,P(f)H(f) and P(g)H(g) share b, where P(f) and H(f) were defined as (1.1) and (1.2) and nk ≥ max 1≤i≤k-1 {n i }; (3) m ≥ 2 or nk ≥ 2, k ≥ 2, then F is normal in D.
基金the project Ecom4Future(project number 903927)funded by the Austrian Research Promotion Agency(FFG)under the“Clean Energy Transition Partnership-Joint Call 2022”.
文摘Reproducibility is a cornerstone of credible scientific research.The topic gained prominence in fields such as psychology,medicine and artificial intelligence where concerns about non-replicable results sparked ongoing discussions about research practices.However,its status within machine learning for building systems is underexamined.Therefore,this work contributes to closing this gap by analyzing the reproducibility of machine learning-based fault detection and diagnosis studies published over the past decade.We found that nearly all articles are not reproducible due to insufficient disclosure across key dimensions of reproducibility.Notably,72%of the articles do not specify whether the dataset used is public,proprietary,or commercially available.Only two papers share a link to their code,one of which was broken.Two-thirds of the publications were authored exclusively by academic researchers,yet no significant differences in reproducibility were observed compared to publications with industry-affiliated authors.These findings highlight the need for targeted interventions,including reproducibility guidelines,training for researchers,and policies by journals and conferences that promote transparency and reproducibility.
基金supported by the National ScientificTechnical Research Council (CONICET) of Argentina under Grant PIP No. 114-200901-00381
文摘Nowadays, more and more users share real-time news and information in micro-blogging communities such as Twitter, Tumblr or Plurk. In these sites, information is shared via a followers/followees social network structure in which a follower will receive all the micro-blogs from the users he/she follows, named followees. With the increasing number of registered users in this kind of sites, finding relevant and reliable sources of information becomes essential. The reduced number of characters present in micro-posts along with the informal language commonly used in these sites make it difficult to apply standard content-based approaches to the problem of user recommendation. To address this problem, we propose an algorithm for recommending relevant users that explores the topology of the network considering different factors that allow us to identify users that can be considered good information sources. Experimental evaluation conducted with a group of users is reported, demonstrating the potential of the approach.
基金supported by the National Basic Research 973 Program of China under Grant No.2007CB310803the National Natural Science Foundation of China under Grant No.90818017
文摘Because trust is regarded as an essential secured relationship within a distributed network environment,selecting services over the Internet from the viewpoint of trust has been a major trend.Current research about trust model and evaluation in the context of Web services does not rationally and accurately reflect some essential characteristics of trust such as subjective uncertainty and dynamism.In this paper,we analyze some important characteristics of trust,and some key factors that affect the trust relation in the Web service environment.Accordingly,we propose a trust model based on Cloud Model theory to describe the subjective uncertainty of trust factors.A time-related backward cloud generation algorithm is given to express the dynamism of trust.Furthermore,according to the trust model and algorithm,a formalized calculation approach is provided to evaluate the trust degree of services requestors in providers.Our experiment shows that the evaluation of trust degree can effectively support trust-decisions and provide a helpful exploitation for selecting services based on the viewpoint of trust.
基金We thank Dyntex Dataset for providing rich fluid video to our study.This work is also supported and funded by NSFC Grant Nos.61104057,61070128,61272199Shanghai Education Research and Innovation Project Key Project(12ZZ042).We also appreciate the valuable comments and suggestions of reviewers.
文摘A novel technique for reconstructing fluid surface from video is introduced.Both fluid motion vectors as well as Lattice Boltzmann Method(LBM)are employed in the study.Region-based correlation method is used to initialize motion vectors field,after clustering fluid motion vector results can be obtained.Then the height geometry information of fluid surface can be calculated from fluid motion vector further.At last,the distribution of fluid particle is interpolated and the height field can be further refined.Reconstruction results are demonstrated with several challenge videos.The experimental results show that the method is convenient and efficient.The calculation results can reflect the characteristics of the fluid movement,and it is a valid method for reconstructing fluid surface.
基金supported by the Science and Technology Planning Projects of Guangdong Province(Grant No.2018B010109008)Na-tional Key R&D Program of China(Grant No.2018YFC0116500).
文摘Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.
基金supported by the National Key Research and Development Program of China (No. 2018YFB1003605)Foundations of CARCH (No. CARCH201704)+3 种基金the National Natural Science Foundation of China (No. 61472312)Foundations of Shaanxi Province and Xi’an ScienceTechnology Plan (Nos. B018230008 and BD34017020001)the Foundations of Xidian University (No. JBZ171002)
文摘Despite the rapid development of mobile and embedded hardware, directly executing computationexpensive and storage-intensive deep learning algorithms on these devices’ local side remains constrained for sensory data analysis. In this paper, we first summarize the layer compression techniques for the state-of-theart deep learning model from three categories: weight factorization and pruning, convolution decomposition, and special layer architecture designing. For each category of layer compression techniques, we quantify their storage and computation tunable by layer compression techniques and discuss their practical challenges and possible improvements. Then, we implement Android projects using TensorFlow Mobile to test these 10 compression methods and compare their practical performances in terms of accuracy, parameter size, intermediate feature size,computation, processing latency, and energy consumption. To further discuss their advantages and bottlenecks,we test their performance over four standard recognition tasks on six resource-constrained Android smartphones.Finally, we survey two types of run-time Neural Network(NN) compression techniques which are orthogonal with the layer compression techniques, run-time resource management and cost optimization with special NN architecture,which are orthogonal with the layer compression techniques.
基金partially supported by the National Natural Science Foundation of China (Nos. 61190110, 61272456, and 61472312)the open fund ITDU14004/KX142600011+1 种基金supported by the overall innovation project of Shaanxi Province Science and Technology Plan (No. 2012KTZD02-03-03)the Fundamental Research Funds for the Central Universities (Nos. JB151002, K5051323005, and BDY041409)
文摘Lack of physical activity is becoming a killer of our healthy life. As a solution for this negative impact, we propose SmartCare to help users to set up a healthy physical activity habit. SmartCare can monitor a user＇s activities over a long time, and then provide activity quality assessment and suggestion. SmartCare consists of three parts, activity recognition, energy saving, and health feedback. Activity recognition can recognize nine kinds of daily activities. A hybrid classifier that uses less power and memory with satisfactory accuracy was designed and implemented by utilizing the periodicity of target activity. In addition, a learning-based energy saver was introduced to reduce energy consumption by adjusting sampling rates and the set of features adaptively. Based on the type and duration of the activity recorded, health feedback in terms of the calorie burned was given. The system could provide quantitative activity quality assessment and recommend future physical activity plans. Through extensive real-life testing, the system is shown to achieve an average recognition accuracy of 98.0% with a minimized energy expenditure.
基金supported by the National Natural Science Foundation of China under Grant Nos.61190110,61325013,61103187,61170213,61228202,61170216,and 61422207the National Basic Research 973 Program of China under Grant No.2014CB347800+2 种基金the Natural Science Foundation of USA under Grant Nos.CNS-0832120,CNS-1035894,ECCS-1247944,and ECCS-1343306the Fundamental Research Funds for the Central Universities of China under Project No.2012jdgz02(Xi’an Jiaotong University)the Research Fund for the Doctoral Program of Higher Education of China under Project No.20130201120016
文摘Diagnosis is of great importance to wireless sensor networks due to the nature of error prone sensor nodes and unreliable wireless links. The state-of-the-art diagnostic tools focus on certain types of faults, and their performances are highly correlated with the networks they work with. The network administrators feel difficult in measuring the effectiveness of their diagnosis approaches and choosing appropriate tools so as to meet the reliability demand. In this work, we introduce the D-vector to characterize the property of a diagnosis approach. The D-vector has five dimensions, namely the degree of coupling, the granularity, the overhead, the tool reliability and the network reliability, quantifying and evaluating the effectiveness of current diagnostic tools in certain applications. We employ a skyline query algorithm to find out the most effective diagnosis approaches, i.e., skyline points（SPs）, from five dimensions of all potential D-vectors. The selected skyline D-vector points can further guide the design of various diagnosis approaches. In our trace-driven simulations, we design and select tailored diagnostic tools for GreenOrbs, achieving high performance with relatively low overhead.
