One of the most important methods that finds usefulness in various applications, such as searching historical manuscripts, forensic search, bank check reading, mail sorting, book and handwritten notes transcription, i...One of the most important methods that finds usefulness in various applications, such as searching historical manuscripts, forensic search, bank check reading, mail sorting, book and handwritten notes transcription, is handwritten character recognition. The common issues in the character recognition are often due to different writing styles, orientation angle, size variation(regarding length and height), etc. This study presents a classification model using a hybrid classifier for the character recognition by combining holoentropy enabled decision tree(HDT) and deep neural network(DNN). In feature extraction, the local gradient features that include histogram oriented gabor feature and grid level feature, and grey level co-occurrence matrix(GLCM) features are extracted. Then, the extracted features are concatenated to encode shape, color, texture, local and statistical information, for the recognition of characters in the image by applying the extracted features to the hybrid classifier. In the experimental analysis, recognition accuracy of 96% is achieved. Thus, it can be suggested that the proposed model intends to provide more accurate character recognition rate compared to that of character recognition techniques used in the literature.展开更多
Logic Petri nets （LPNs） are suitable to describe and analyze batch processing functions and passing value indeterminacy in cooperative systems. To investigate the dynamic properties of LPNs directly, a new method fo...Logic Petri nets （LPNs） are suitable to describe and analyze batch processing functions and passing value indeterminacy in cooperative systems. To investigate the dynamic properties of LPNs directly, a new method for analyzing LPNs is proposed based on marking reachability graphs in this paper. Enabled conditions of transitions are obtained and a marking reachability graph is constructed. All reach- able markings can be obtained based on the graph; the fairness and reversibility of LPNs are analyzed. Moreover, the computing complexity of the enabled conditions and reachable markings can be reduced by this method. The advantages of the proposed method are illustrated by examples and analysis.展开更多
As the role of information technology （IT） in business innovation becomes increasingly important, an increasing number of organizations have started to consider how to promote IT-enabled business innovation. Althoug...As the role of information technology （IT） in business innovation becomes increasingly important, an increasing number of organizations have started to consider how to promote IT-enabled business innovation. Although extant studies have identified organization, environment, and innovation＇s characteristics as substantial determinants of IT innovation, they do not emphasize the accompanying innovation in processes, products or services, which distinguish IT-enabled business innovation from general IT innovation. Therefore, the reason why few companies succeed in realizing IT-enabled business innovation remains obscure. Anchored on the institutional entrepreneurship theory, this paper examines determinants of the success of IT-enabled business innovation in a fast-growing company using the case study approach. Our findings indicate that IT-business coordination competency, degree of institutionalization, participation of business managers, top management team＇s （TMT） attitude towards the innovation, and the innovation＇s relative strength, have significant impacts on the success of IT-enabled business innovation. Our findings also contribute to IT innovation research by identifying special determinants of IT-enabled business innovation and redirecting research ranging from innovation in IT itself to IT-enabled innovation in business processes, products or services.展开更多
Detection of local strain at the nanometer scale with high sensitivity remains challenging.Here we report near-field infrared nano-imaging of local strains in bilayer graphene by probing strain-induced shifts of phono...Detection of local strain at the nanometer scale with high sensitivity remains challenging.Here we report near-field infrared nano-imaging of local strains in bilayer graphene by probing strain-induced shifts of phonon frequency.As a non-polar crystal,intrinsic bilayer graphene possesses little infrared response at its transverse optical phonon frequency.The reported optical detection of local strain is enabled by applying a vertical electrical field that breaks the symmetry of the two graphene layers and introduces finite electrical dipole moment to graphene phonon.The activated phonon further interacts with continuum electronic transitions,and generates a strong Fano resonance.The resulted Fano resonance features a very sharp near-field infrared scattering peak,which leads to an extraordinary sensitivity of-0.002%for the strain detection.Our results demonstrate the first nano-scale near-field Fano resonance,provide a new way to probe local strains with high sensitivity in non-polar crystals,and open exciting possibilities for studying strain-induced rich phenomena.展开更多
To find disaster relevant social media messages,current approaches utilize natural language processing methods or machine learning algorithms relying on text only,which have not been perfected due to the variability a...To find disaster relevant social media messages,current approaches utilize natural language processing methods or machine learning algorithms relying on text only,which have not been perfected due to the variability and uncertainty in the language used on social media and ignoring the geographic context of the messages when posted.Meanwhile,a disaster relevant social media message is highly sensitive to its posting location and time.However,limited studies exist to explore what spatial features and the extent of how temporal,and especially spatial features can aid text classification.This paper proposes a geographic context-aware text mining method to incorporate spatial and temporal information derived from social media and authoritative datasets,along with the text information,for classifying disaster relevant social media posts.This work designed and demonstrated how diverse types of spatial and temporal features can be derived from spatial data,and then used to enhance text mining.The deep learning-based method and commonly used machine learning algorithms,assessed the accuracy of the enhanced text-mining method.The performance results of different classification models generated by various combinations of textual,spatial,and temporal features indicate that additional spatial and temporal features help improve the overall accuracy of the classification.展开更多
“Web of Things” evolved from “Internet of Things”. Lot of research has been done in designing architecture for “Web of Things”. Two main architectures are Smart gateway based architecture and embedded Web Server...“Web of Things” evolved from “Internet of Things”. Lot of research has been done in designing architecture for “Web of Things”. Two main architectures are Smart gateway based architecture and embedded Web Server based architectture. These architectures address some of the basic and essential issues relating to Service Oriented Architecture for “Web of Things”. Taking into consideration the period of coexistence of IPv4 and IPv6 we propose an architecture using SOCKS protocol based IPv6/IPv4 gatewaying and refinements which facilitates smooth heterogeneous communications between the IPv6 and IPv4 enabled embedded nodes and can potentially be used to prevent security threats like Denial-of-Service (DoS) attacks on embedded devices attached to the web and increase its performance. Our architecture provides a way for caching responses from device and thereby increasing its efficiency and performance and yielding quick response times.展开更多
The advent of low loss optical fiber has consistently led us to the ultra-broadband era, where bandwidths exceeding 1 Gb/s are commonplace. This Review reviews the early history of fiber access, pointing out some of t...The advent of low loss optical fiber has consistently led us to the ultra-broadband era, where bandwidths exceeding 1 Gb/s are commonplace. This Review reviews the early history of fiber access, pointing out some of the lasting design choices and signature features of fiber access. The progress of the various passive optical network technologies is also reviewed, and some views regarding the future trends of fiber in the access.展开更多
Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare system.Online patient data pro-cessing from remote places may lead to severe privacy problems....Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare system.Online patient data pro-cessing from remote places may lead to severe privacy problems.Moreover,the existing cloud-based healthcare system takes more latency and energy consumption during diagnosis due to offloading of live patient data to remote cloud servers.Solve the privacy problem.The proposed research introduces the edge-cloud enabled privacy-preserving healthcare system by exploiting additive homomorphic encryption schemes.It can help maintain the privacy preservation and confidentiality of patients’medical data during diagnosis of Parkinson’s disease.In addition,the energy and delay aware computational offloading scheme is proposed to minimize the uncertainty and energy consumption of end-user devices.The proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing health-care systems.展开更多
Operating efficiency of universities is widely concerned by the education community.As a non-parametric method for efficiently handling multiple inputs and outputs,data envelopment analysis(DEA)is often used for measu...Operating efficiency of universities is widely concerned by the education community.As a non-parametric method for efficiently handling multiple inputs and outputs,data envelopment analysis(DEA)is often used for measuring the operating efficiency.However,shared input resources are often ignored in the existing DEA studies.In order to remedy the shortcoming with a focus on teaching and research processes of universities,this paper adopts an extended two-stage network DEA approach to measure the operating efficiency of 52 universities in China using a data set in 2014.The main findings show that:(1)Among the operating efficiency of 52 universities,about one third and two thirds of universities are efficient and inefficient,respectively.It may reflect some problems such as inefficient use of resources or unsatisfactory outcomes for these inefficient universities.By giving first priority to universities’teaching or research process,we provide alternative ways for teaching-oriented or research-oriented universities to benchmark and improve their performance.(2)For the heterogeneity efficiency analysis of different universities,the operating efficiency of“non-985”universities are significantly higher than that of“985”universities,while there is only a small difference on the operating efficiency between comprehensive universities and science&engineering universities.Although the efficiency of the central and western universities is slightly better than that of the eastern universities in terms of the average efficiency,there is no significant efficiency difference among the eastern,central,and western regions statistically.Hence,to improve the operating efficiency of Chinese universities,the Chinese government should improve the financial allocation mechanism and introduce successful budget performance management.For the Chinese universities,they should formulate teaching and scientific research plans according to their own research needs and development goals.展开更多
Three-dimensional (3-D)self-assembly of nanos- tructures and nanodevices on a large scale remains a grand quest for mankind.Freestanding nanostructured assemblies with controlled 3-D shapes can exhibit attractive prop...Three-dimensional (3-D)self-assembly of nanos- tructures and nanodevices on a large scale remains a grand quest for mankind.Freestanding nanostructured assemblies with controlled 3-D shapes can exhibit attractive properties for sensor and other applications. Protocols for 3-D self-assembly that can be scaled up for mass production on a large up to tonnage)scale, while preserving morphological features on a small (down to nanometer)scale,are needed to allow for widespread use of 3-D nanostructures in advanced devices.However,these often conflicting requirements of scalability and precision pose a difficult challenge for synthetic (man-made)processing routes.展开更多
Ⅰ. INTRODUCTION It continues to be a task for researchers to find an efficient algorithm for conflict resolution of packets in a random multiaccess channel.So far as an algorithm
IN the Loess Plateau of northern Shaanxi. there are many gullies but little rain, which has deeply affected the growth of crops there. People have been living under hard conditions for generations until very recently....IN the Loess Plateau of northern Shaanxi. there are many gullies but little rain, which has deeply affected the growth of crops there. People have been living under hard conditions for generations until very recently. The State government has encouraged rural economic policies which has enabled the people of this area to develop a diversified economy that has greatly improved life.展开更多
China PV industry develops rapidly in recentyears.SGL Group is quite dedicatedto the Chinese market and their productscover the entire value chain which includesthe carbon chuck in polysiliconproduction, mantel, graph...China PV industry develops rapidly in recentyears.SGL Group is quite dedicatedto the Chinese market and their productscover the entire value chain which includesthe carbon chuck in polysiliconproduction, mantel, graphite hot zone andinsulation material used in the productionof monocrystalline silicon rods and multi-crystallinesilicon ingots, etc.Its unceasingpursuit of excellence has enabled thecompany to become the undisputed展开更多
Due to the special structural feature and versatile reactivity towards various types of transformations,alkynes have inspired continuous research interest for their generation,incorporation and application in organic ...Due to the special structural feature and versatile reactivity towards various types of transformations,alkynes have inspired continuous research interest for their generation,incorporation and application in organic synthesis,chemical biology and material science[1].Notably,since its invention in 1975,the Sonogashira reaction,which efficiently couples aryl halides with aryl or vinyl terminal alkynes via Pd(0)/Cu(I)synergistic catalysis.展开更多
文摘One of the most important methods that finds usefulness in various applications, such as searching historical manuscripts, forensic search, bank check reading, mail sorting, book and handwritten notes transcription, is handwritten character recognition. The common issues in the character recognition are often due to different writing styles, orientation angle, size variation(regarding length and height), etc. This study presents a classification model using a hybrid classifier for the character recognition by combining holoentropy enabled decision tree(HDT) and deep neural network(DNN). In feature extraction, the local gradient features that include histogram oriented gabor feature and grid level feature, and grey level co-occurrence matrix(GLCM) features are extracted. Then, the extracted features are concatenated to encode shape, color, texture, local and statistical information, for the recognition of characters in the image by applying the extracted features to the hybrid classifier. In the experimental analysis, recognition accuracy of 96% is achieved. Thus, it can be suggested that the proposed model intends to provide more accurate character recognition rate compared to that of character recognition techniques used in the literature.
基金This work is supported by the National Basic Research Program of China （2010CB328101） the National Natural Science Foundation of China （Grant Nos. 61170078 and 61173042）+2 种基金 the Doctoral Program of Higher Education of the Specialized Research Fund of China （20113718110004） Basic Research Program of Qingdao City of China （13- 1-4-116-jch） and the SDUST Research Fund of China （2011KYTD 102）.
文摘Logic Petri nets （LPNs） are suitable to describe and analyze batch processing functions and passing value indeterminacy in cooperative systems. To investigate the dynamic properties of LPNs directly, a new method for analyzing LPNs is proposed based on marking reachability graphs in this paper. Enabled conditions of transitions are obtained and a marking reachability graph is constructed. All reach- able markings can be obtained based on the graph; the fairness and reversibility of LPNs are analyzed. Moreover, the computing complexity of the enabled conditions and reachable markings can be reduced by this method. The advantages of the proposed method are illustrated by examples and analysis.
文摘As the role of information technology （IT） in business innovation becomes increasingly important, an increasing number of organizations have started to consider how to promote IT-enabled business innovation. Although extant studies have identified organization, environment, and innovation＇s characteristics as substantial determinants of IT innovation, they do not emphasize the accompanying innovation in processes, products or services, which distinguish IT-enabled business innovation from general IT innovation. Therefore, the reason why few companies succeed in realizing IT-enabled business innovation remains obscure. Anchored on the institutional entrepreneurship theory, this paper examines determinants of the success of IT-enabled business innovation in a fast-growing company using the case study approach. Our findings indicate that IT-business coordination competency, degree of institutionalization, participation of business managers, top management team＇s （TMT） attitude towards the innovation, and the innovation＇s relative strength, have significant impacts on the success of IT-enabled business innovation. Our findings also contribute to IT innovation research by identifying special determinants of IT-enabled business innovation and redirecting research ranging from innovation in IT itself to IT-enabled innovation in business processes, products or services.
基金Supported by the National Key Research and Development Program of China (Grant No.2016YFA0302001)the National Natural Science Foundation of China (Grant Nos.11774224,12074244,11521404,and 61701394)+1 种基金support from the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learningadditional support from a Shanghai talent program。
文摘Detection of local strain at the nanometer scale with high sensitivity remains challenging.Here we report near-field infrared nano-imaging of local strains in bilayer graphene by probing strain-induced shifts of phonon frequency.As a non-polar crystal,intrinsic bilayer graphene possesses little infrared response at its transverse optical phonon frequency.The reported optical detection of local strain is enabled by applying a vertical electrical field that breaks the symmetry of the two graphene layers and introduces finite electrical dipole moment to graphene phonon.The activated phonon further interacts with continuum electronic transitions,and generates a strong Fano resonance.The resulted Fano resonance features a very sharp near-field infrared scattering peak,which leads to an extraordinary sensitivity of-0.002%for the strain detection.Our results demonstrate the first nano-scale near-field Fano resonance,provide a new way to probe local strains with high sensitivity in non-polar crystals,and open exciting possibilities for studying strain-induced rich phenomena.
基金the funding support from the Vilas Associates Competition Award at University of Wisconsin-Madison(UW-Madison)the National Science Foundation[grant number 1940091].
文摘To find disaster relevant social media messages,current approaches utilize natural language processing methods or machine learning algorithms relying on text only,which have not been perfected due to the variability and uncertainty in the language used on social media and ignoring the geographic context of the messages when posted.Meanwhile,a disaster relevant social media message is highly sensitive to its posting location and time.However,limited studies exist to explore what spatial features and the extent of how temporal,and especially spatial features can aid text classification.This paper proposes a geographic context-aware text mining method to incorporate spatial and temporal information derived from social media and authoritative datasets,along with the text information,for classifying disaster relevant social media posts.This work designed and demonstrated how diverse types of spatial and temporal features can be derived from spatial data,and then used to enhance text mining.The deep learning-based method and commonly used machine learning algorithms,assessed the accuracy of the enhanced text-mining method.The performance results of different classification models generated by various combinations of textual,spatial,and temporal features indicate that additional spatial and temporal features help improve the overall accuracy of the classification.
文摘“Web of Things” evolved from “Internet of Things”. Lot of research has been done in designing architecture for “Web of Things”. Two main architectures are Smart gateway based architecture and embedded Web Server based architectture. These architectures address some of the basic and essential issues relating to Service Oriented Architecture for “Web of Things”. Taking into consideration the period of coexistence of IPv4 and IPv6 we propose an architecture using SOCKS protocol based IPv6/IPv4 gatewaying and refinements which facilitates smooth heterogeneous communications between the IPv6 and IPv4 enabled embedded nodes and can potentially be used to prevent security threats like Denial-of-Service (DoS) attacks on embedded devices attached to the web and increase its performance. Our architecture provides a way for caching responses from device and thereby increasing its efficiency and performance and yielding quick response times.
文摘The advent of low loss optical fiber has consistently led us to the ultra-broadband era, where bandwidths exceeding 1 Gb/s are commonplace. This Review reviews the early history of fiber access, pointing out some of the lasting design choices and signature features of fiber access. The progress of the various passive optical network technologies is also reviewed, and some views regarding the future trends of fiber in the access.
文摘Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare system.Online patient data pro-cessing from remote places may lead to severe privacy problems.Moreover,the existing cloud-based healthcare system takes more latency and energy consumption during diagnosis due to offloading of live patient data to remote cloud servers.Solve the privacy problem.The proposed research introduces the edge-cloud enabled privacy-preserving healthcare system by exploiting additive homomorphic encryption schemes.It can help maintain the privacy preservation and confidentiality of patients’medical data during diagnosis of Parkinson’s disease.In addition,the energy and delay aware computational offloading scheme is proposed to minimize the uncertainty and energy consumption of end-user devices.The proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing health-care systems.
基金This research was supported by National Natural Science Foundation of China under Grants(Nos.71601064,72071067,71801067,71871081)the Major Project of the National Social Science Foundation of China(No.18ZDA064).
文摘Operating efficiency of universities is widely concerned by the education community.As a non-parametric method for efficiently handling multiple inputs and outputs,data envelopment analysis(DEA)is often used for measuring the operating efficiency.However,shared input resources are often ignored in the existing DEA studies.In order to remedy the shortcoming with a focus on teaching and research processes of universities,this paper adopts an extended two-stage network DEA approach to measure the operating efficiency of 52 universities in China using a data set in 2014.The main findings show that:(1)Among the operating efficiency of 52 universities,about one third and two thirds of universities are efficient and inefficient,respectively.It may reflect some problems such as inefficient use of resources or unsatisfactory outcomes for these inefficient universities.By giving first priority to universities’teaching or research process,we provide alternative ways for teaching-oriented or research-oriented universities to benchmark and improve their performance.(2)For the heterogeneity efficiency analysis of different universities,the operating efficiency of“non-985”universities are significantly higher than that of“985”universities,while there is only a small difference on the operating efficiency between comprehensive universities and science&engineering universities.Although the efficiency of the central and western universities is slightly better than that of the eastern universities in terms of the average efficiency,there is no significant efficiency difference among the eastern,central,and western regions statistically.Hence,to improve the operating efficiency of Chinese universities,the Chinese government should improve the financial allocation mechanism and introduce successful budget performance management.For the Chinese universities,they should formulate teaching and scientific research plans according to their own research needs and development goals.
文摘Three-dimensional (3-D)self-assembly of nanos- tructures and nanodevices on a large scale remains a grand quest for mankind.Freestanding nanostructured assemblies with controlled 3-D shapes can exhibit attractive properties for sensor and other applications. Protocols for 3-D self-assembly that can be scaled up for mass production on a large up to tonnage)scale, while preserving morphological features on a small (down to nanometer)scale,are needed to allow for widespread use of 3-D nanostructures in advanced devices.However,these often conflicting requirements of scalability and precision pose a difficult challenge for synthetic (man-made)processing routes.
文摘Ⅰ. INTRODUCTION It continues to be a task for researchers to find an efficient algorithm for conflict resolution of packets in a random multiaccess channel.So far as an algorithm
文摘IN the Loess Plateau of northern Shaanxi. there are many gullies but little rain, which has deeply affected the growth of crops there. People have been living under hard conditions for generations until very recently. The State government has encouraged rural economic policies which has enabled the people of this area to develop a diversified economy that has greatly improved life.
文摘China PV industry develops rapidly in recentyears.SGL Group is quite dedicatedto the Chinese market and their productscover the entire value chain which includesthe carbon chuck in polysiliconproduction, mantel, graphite hot zone andinsulation material used in the productionof monocrystalline silicon rods and multi-crystallinesilicon ingots, etc.Its unceasingpursuit of excellence has enabled thecompany to become the undisputed
文摘Due to the special structural feature and versatile reactivity towards various types of transformations,alkynes have inspired continuous research interest for their generation,incorporation and application in organic synthesis,chemical biology and material science[1].Notably,since its invention in 1975,the Sonogashira reaction,which efficiently couples aryl halides with aryl or vinyl terminal alkynes via Pd(0)/Cu(I)synergistic catalysis.
