Abstract Accurate and robust tracking of defect targets in dynamic ink-jet printing videos is a huge challenge in ink-jet printing technology for digital fabrication, and becomes a popular topic for digital information applications in ink-jet printing industry. Recently, particle filters have drawn a significant amount of interest because of their robust tracking performance. In this paper, a robust defect tracking algorithm for ink-jet printing fabric products was proposed in... Accurate and robust tracking of defect targets in dynamic ink-jet printing videos is a huge challenge in ink-jet printing technology for digital fabrication, and becomes a popular topic for digital information applications in ink-jet printing industry. Recently, particle filters have drawn a significant amount of interest because of their robust tracking performance. In this paper, a robust defect tracking algorithm for ink-jet printing fabric products was proposed in a particle filter framework. First, the ink-jet printing defect tracking was regarded as a Bayesian estimation problem, and a representative dynamic state model was then defined prior to processing the video data. Second, an observation model based on color histogram was introduced to calculate the likelihood of sample particles. Finally, a new motion constrained resampling rule was designed by which the proposed algorithm can track defect targets undergoing abrupt motion conditions and background changes. Experimental results demonstrate the effectiveness and superiority of the proposed algorithm on tracking defect targets undergoing various challenging conditions. Read More Read Less

Abstract Word sense disambiguation (WSD) in biomedical texts is important. The majority of existing research primarily focuses on supervised learning methods and knowledge-based approaches. Implementing these methods requires significant human-annotated corpus, which is not easily obtained. In this paper, we developed an unsupervised system for WSD in biomedical texts. First, we predefine the number of senses for an ambiguous word. Kernel fuzzy C-means clustering is used to group the same... Word sense disambiguation (WSD) in biomedical texts is important. The majority of existing research primarily focuses on supervised learning methods and knowledge-based approaches. Implementing these methods requires significant human-annotated corpus, which is not easily obtained. In this paper, we developed an unsupervised system for WSD in biomedical texts. First, we predefine the number of senses for an ambiguous word. Kernel fuzzy C-means clustering is used to group the same sense terms into a set. Each set is mapped to a certain sense to achieve disambiguation. Experimental results on all 50 ambiguous terms from NLMWSD corpus demonstrate that our proposed system outperforms other unsupervised methods. Meanwhile, the kernel fuzzy C-means system is 5% more precise than the state-of-art knowledge-based WSD system on the full NLM-WSD dataset. Our system is highly efficient and accurate for word sense disambiguation in biomedical texts and does not require human-annotated corpus. Read More Read Less

Abstract A gradient-projected relevance feedback algorithm based on non-negative matrix factorization (NMF) is proposed in this study to improve the performance of retrieval algorithm in the medical image processing field. Relevance feedback has been an important method in image retrieval technology in recent years because it allows users to participate. Thus, it can compensate for the shortcomings of using low-level features to describe the semantic contents of an image... A gradient-projected relevance feedback algorithm based on non-negative matrix factorization (NMF) is proposed in this study to improve the performance of retrieval algorithm in the medical image processing field. Relevance feedback has been an important method in image retrieval technology in recent years because it allows users to participate. Thus, it can compensate for the shortcomings of using low-level features to describe the semantic contents of an image to some degree. Given that NMF can partly sketch the distribution of relevant images in the space represented by the base matrix, finding more related images from image repositories is possible. This condition can be achieved by conducting an NMF operation of the query image, using the gradient projection iterative rules to update variables, and selecting the appropriate iteration stop conditions to optimize the time complexity of the algorithm. Compared with the commonly used and multiplicative updating NMF approaches, the proposed method improved the speed of the feedback on the premise of guaranteeing precision and recall rates, and significantly optimized the retrieval accuracy. Experiments were conducted on the base of 586 cerebral hemorrhage images and 634 spine and cervical-spine mixed images. Results show that the proposed approach is feasible in medical image retrieval. Read More Read Less

Abstract The objectives of this study are to develop integrated model for successful adoption of management information systems. The questionnaire used to collect primary data, and analyzes the data by using AMOS software and SPSS statistical program. Then use appropriate statistical processors and tests, for getting signs to support subject of study. The 424 completed questionnaires were received from the companies. Data were obtained through 4 telecommunication companies in... The objectives of this study are to develop integrated model for successful adoption of management information systems. The questionnaire used to collect primary data, and analyzes the data by using AMOS software and SPSS statistical program. Then use appropriate statistical processors and tests, for getting signs to support subject of study. The 424 completed questionnaires were received from the companies. Data were obtained through 4 telecommunication companies in Yemen. Confirmatory factor analysis derived from exploratory factor analysis of all measures used in the study and hypothesized model were tested with structural equation modeling techniques. A major contribution of this study is the formation of a theoretically based model which integrates the technological, organizational, and people factors. Furthermore, the use of SEM in this study allows simultaneous investigations of different dimensions. The research model also serves as a diagnostic tool for the organizational administrators and managers to identify the factors that impact on successful adoption the management information systems in the organization. Additionally, identify the impact of adoption of management information systems in organizations. Moreover, this study provides impetus for organizational administrators and managers to continue adopting of management information systems in their organizations. Read More Read Less

Abstract In the era of knowledge economy, the success of industrial commodity production and business activities in an industrial enterprise mainly depends on the knowledge level of employees and the effectiveness of knowledge management. Thus, industrial enterprises encourage employees to spread and share useful knowledge and information with others. Tacit knowledge spreads among industrial enterprises mainly through employee mobility with such knowledge. We introduce a new approach to describe the... In the era of knowledge economy, the success of industrial commodity production and business activities in an industrial enterprise mainly depends on the knowledge level of employees and the effectiveness of knowledge management. Thus, industrial enterprises encourage employees to spread and share useful knowledge and information with others. Tacit knowledge spreads among industrial enterprises mainly through employee mobility with such knowledge. We introduce a new approach to describe the spread of tacit knowledge using epidemic models. We model and simulate the peculiarities of tacit knowledge spreading between two industrial enterprises by considering employee mobility. This model is compared with the susceptible-infected-susceptible model. We analyze the effects of employee mobility on the spreading of tacit knowledge and provide numerical simulations to support our results. Results show that employee mobility and the average degree of the knowledge exchange network in each industrial enterprise significantly influence the spreading of tacit knowledge among industrial enterprises. A threshold that governs whether tacit knowledge can spread among industrial enterprises exists. The results of the numerical simulations and analyses can guide industrial enterprises to improve knowledge and information management with regard to the theoretical and practical aspects, as well as provide a valuable platform for further analyzing knowledge and information management. Read More Read Less

Abstract From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines essentially a business strategy method with a scoring model. The financial method is also present of the fact that the... From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines essentially a business strategy method with a scoring model. The financial method is also present of the fact that the scoring model considers the financial value as an important criterion. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. The approach provides a phase control on two elements: the management of resources and interactions between projects. Read More Read Less

Abstract With the constant development of computer science and technology, binocular stereo vision as a special form of computer vision plays a vital role in implementing computer change detection, image correction, three-dimensional reconstruction, and is widely applied in computer vision fields such as aerial mapping, visual navigation, motion analysis and industrial inspection. However, as it is difficult to perform binocular stereo vision, and precise parallax principle and mathematical method... With the constant development of computer science and technology, binocular stereo vision as a special form of computer vision plays a vital role in implementing computer change detection, image correction, three-dimensional reconstruction, and is widely applied in computer vision fields such as aerial mapping, visual navigation, motion analysis and industrial inspection. However, as it is difficult to perform binocular stereo vision, and precise parallax principle and mathematical method are required. Thus this study rapidly and effectively realizes three-dimensional reconstruction of binocular stereo vision by feature description vector generated by improved surface (SURF) algorithm combined with K-dimension tree (KD-Tree) searching. Effective combination of improved SURF algorithm and KD-Tree significantly enhances sense of reality of three-dimensional scene. Read More Read Less

Abstract Recently, vehicle logistics transfer mode becomes more and more suitable for logistics requirements on transportation and storage as automobile output constantly grows. The operation of paper transfer receipts in combination with two-dimension code or bar code often leads to misleading and neglected loading. However, radio frequency identification devices (RFID) make up these defects. This study first discussed basic principle and systematic framework of RFID technology, then introduced characteristics and... Recently, vehicle logistics transfer mode becomes more and more suitable for logistics requirements on transportation and storage as automobile output constantly grows. The operation of paper transfer receipts in combination with two-dimension code or bar code often leads to misleading and neglected loading. However, radio frequency identification devices (RFID) make up these defects. This study first discussed basic principle and systematic framework of RFID technology, then introduced characteristics and process of electronic transfer technology in vehicle logistics, analyzed logistics management data error that may exist from multiple aspects and discussed over the application of RFID technology in logistics management data error and vehicle logistics electronic transfer system. Read More Read Less

Abstract In this study, a new technique for image retrieval based on color feature is presented. This new algorithm is based on two defined equations, the standard deviation and the mean of the image. The performance of the proposed approach is tested on a large image collection of the COIL-100 database. Experimental results show that the proposed approach can achieve significant precision (up to 95% better) and, at... In this study, a new technique for image retrieval based on color feature is presented. This new algorithm is based on two defined equations, the standard deviation and the mean of the image. The performance of the proposed approach is tested on a large image collection of the COIL-100 database. Experimental results show that the proposed approach can achieve significant precision (up to 95% better) and, at the same time, the system is fast. Read More Read Less

Abstract SO2 and NOx are important components of atmospheric pollutants produced by coal combustion process and significant emissions of these gases keep deteriorating urban air quality and cause a great threat to soil, water and forest. The increasingly serious environmental pollution not only resulted in significant economic losses, but also had a great impact on human health. Application of automated on-line monitoring system is one of the effective ways... SO2 and NOx are important components of atmospheric pollutants produced by coal combustion process and significant emissions of these gases keep deteriorating urban air quality and cause a great threat to soil, water and forest. The increasingly serious environmental pollution not only resulted in significant economic losses, but also had a great impact on human health. Application of automated on-line monitoring system is one of the effective ways to improve environmental monitoring technology. Therefore, according to actual needs, automated environmental monitoring technology is applied to build up an environmental monitoring system with intelligence, high precision and high reliability, which can be used in the specific environment of daily living and production. This study puts forward an automatic environmental monitoring technology. With comprehensive consideration of working environment particularity of the environmental parameter monitoring system as well as working characteristics of Single Chip Microcomputer (SCM) and front-end sensor, a design scheme for environmental parameter monitoring system with AT89C52 as the core is put forward. With a combination of data acquisition, analysis and processing, display and data communications, the scheme can ensure the efficient and stable realization of all design requirements by the system. According to the design requirements, signal acquisition and processing is realized, corresponding actuators are controlled and necessary assessment is provided. Meanwhile, all data are centralized displayed and uploaded to upper computer. Read More Read Less