Future manufacturing systems need to cope with frequent changes and disturbances, therefore their control architectures require constant adaptability, agility, stability, self-organization, intelligence, and robustnes...Future manufacturing systems need to cope with frequent changes and disturbances, therefore their control architectures require constant adaptability, agility, stability, self-organization, intelligence, and robustness. Bio-inspired manufacturing system can well satisfy these requirements. For this purpose, by referencing the biological organization structure and the mechanism, a bio-inspired manufacturing cell is presented from a novel view, and then a bio-inspired self-adaptive manufacturing model is established based on the ultra-short feedback mechanism of the neuro-endocrine system. A hio-inspired self-adaptive manufacturing system coordinated model is also established based on the neuro-endocrine-immunity system （NEIS）. Finally, an example based on pheromone communication mechanism indicates that the robustness of the whole manufacturing system is improved by bio-inspired technologies.展开更多
Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined...Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex problems.In FAGA,immune theory is used to improve the performance of selection operation.And,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control parameters.The experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy GAs.Finally,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.展开更多
Newly developed black garlic had made a sensational debut with a strong anti-tumor potency proved by the mouse tumor model in 2006 from our laboratory. At that time few researches on it have been conducted due to less...Newly developed black garlic had made a sensational debut with a strong anti-tumor potency proved by the mouse tumor model in 2006 from our laboratory. At that time few researches on it have been conducted due to less popularity of the products even among the researching field. Since then some of the bio-functional works of the black garlic gradually appeared along with gaining of its popularity. Representative bio-activities reported up to now are： （1） enhancement of anti-tumor potency in the mouse tumor model; （2） immune system enforcement, and suppressive act against allergic symptoms caused by decreasing IL-4 cytokine production; （3） bacteria killing potency; （4） anti-oxidant activity; （5） reduction of carcinogenic potency; （6） lowering cholesterol level and preventive work against obesity; （7） controlling high blood pressure; （8） beneficial effect against diabetics; （9） regenerative effect to the burned skin （Clinical study case） et al. On the black garlic business （marketing）, the Aomori Black Garlic Union （Association） had been established in Aomori Prefecture to offer the citizen high quality, high safety and high security black garlic （products） aiming at contribution for health improvement. All union members are now exerting themselves to the most to attain the high quality production of the black garlic. The quality proving certification seal will be issued to the products that passed the quality approval test by the third party inspections to place it on the their products. This system is now effectively working to guarantee the garlic quality and differentiate the Union member＇s products from others at the markets.展开更多
Production scheduling is one of the most important problems to be considered in the effective performance of the automatic manufacturing system.It is the typical kind of NP-complete problem. The methods commonly used ...Production scheduling is one of the most important problems to be considered in the effective performance of the automatic manufacturing system.It is the typical kind of NP-complete problem. The methods commonly used are not suitable to solve complicated problems because the calculating time rises exponentially with the increase of the problem size. In this paper, a new algorithm - immune based scheduling algorithm (IBSA) is proposed. After the description of the mathematics model and the calculating procedure of immune based scheduling,some examples are tested in the software system called HM IM& C that is developed usingVC+ +6.0. The testing results show that IBSA has high efficiency to solve scheduling problem.展开更多
In order to solve the problem that me traditional signature-based detection technology cannot effectively detect unknown malware, we propose in this study a smartphone malware detection model （SP-MDM） based on artif...In order to solve the problem that me traditional signature-based detection technology cannot effectively detect unknown malware, we propose in this study a smartphone malware detection model （SP-MDM） based on artificial immune system, in which static malware analysis and dynamic malware analysis techniques are combined, and antigens are generated by encoding the characteristics extracted from the malware. Based on negative selection algorithm, the mature detectors are generated. By introducing clonal selection algorithm, the detectors with higher affinity are selected to undergo a proliferation and somatic hyper-mutation process, so that more excellent detector offspring can be generated. Experimental result shows that the detection model has a higher detection rate for unknown smartphone malware, and better detection performance can be achieved by increasing the clone generation.展开更多
An artificial immune system was modelled with self/non-self selection to overcome abnormity in a mobile robot demo. The immune modelling includes the innate immune modelling and the adaptive immune modelling. The self...An artificial immune system was modelled with self/non-self selection to overcome abnormity in a mobile robot demo. The immune modelling includes the innate immune modelling and the adaptive immune modelling. The self/non-self selection includes detection and recognition, and the self/non-self detection is based on the normal model of the demo. After the detection, the non-self recognition is based on learning unknown non-self for the adaptive immunization. The learning was designed on the neural network or on the learning mechanism from examples. The last step is elimination of all the non-self and failover of the demo. The immunization of the mobile robot demo is programmed with Java to test effectiveness of the approach. Some worms infected the mobile robot demo, and caused the abnormity. The results of the immunization simulations show that the immune program can detect 100% worms, recognize all known Worms and most unknown worms, and eliminate the worms. Moreover, the damaged files of the mobile robot demo can all be repaired through the normal model and immunization. Therefore, the immune modelling of the mobile robot demo is effective and programmable in some anti-worms and abnormity detection applications.展开更多
Kinesins are microtubule-based motors involved in various intracellular transports. Neurons, flagellated cells, and pigment cells have been traditionally used as model systems to study the cellular functions of kinesi...Kinesins are microtubule-based motors involved in various intracellular transports. Neurons, flagellated cells, and pigment cells have been traditionally used as model systems to study the cellular functions of kinesins. Here, we report silkworm posterior silkgland （PSG）, specialized cells with an extensive endomembrane system for intracellular transport and efficient secretion of fibroin, as a novel model for kinesin study. To investigate kinesindriven intracellular transport in PSG cells, we cloned five silkworm kinesin-like proteins （KLPs）, BmKinesin-1, BmKinesin-6, BmKinesin-7, BmKinesin-13, and BmKinesin-14A. We determined their expression patterns by relative real-time PCR and western blotting. Immunofluorescence microscopy verified their colocalization with microtubules. By combining pull-down assays, LC-MS/MS, and western blotting analysis, we identified many potential cargoes of BmKinesin-1 in PSG, including fibroin-containing granules and exuperantia-associated ribonucleoprotein （RNP） complexes. Moreover, BmKinesin-13 overexpression disrupted the microtubule network in BmN cells, which is consistent with a role of Kinesin-13 in regulating microtubule dynamics in other organisms. On the basis of these results, we concluded that PSG might have advantages in elucidating mechanisms of intracellular transport in secretory tissues and could serve as a potential model for kinesin studies.展开更多
Mathematical model that describes breast cancer and immune interactions were presented using system of differential equations to provide analytic and nnmeric framework of cancer-immune dynamics. Four types of immune c...Mathematical model that describes breast cancer and immune interactions were presented using system of differential equations to provide analytic and nnmeric framework of cancer-immune dynamics. Four types of immune cells-CTLs （cytotoxic T lymphocytes）, macrophages, NK （natural killer） and helper T cells-known to play the most significant roles in developing breast cancer immunity were modeled using differential equations. The model was then applied to different cancer growth rates and simulated using MATLAB software tool. The parameters of the model were based on experimental and clinical results from published articles. Results supported clinical studies that maximal breast cancer immunity depends mostly on each of the four immune cell types chosen. It was observed that for a given breast cancer growth rate, there was an optimal activation that maximized the response of the immune system. The effectiveness of the immune system resulted in the decrease in breast cancer killing rates. These results highlighted the importance of immune system activations in breast cancer development and treatment. Therefore, the model and its simulation provided a robust framework to better understand breast cancer progression and response to the immune system.展开更多
基金Supported by the National Natural Science Foundation of China (50505017)Fok Ying Tung Edu-cation Foundation (111056)+1 种基金the Innovative and Excellent Foundation for Doctoral Dissertation of Nanjing University of Aeronautics and Astronautics (BCXJ08-07)the New Century Excellent Talents in University,China (NCET-08)~~
文摘Future manufacturing systems need to cope with frequent changes and disturbances, therefore their control architectures require constant adaptability, agility, stability, self-organization, intelligence, and robustness. Bio-inspired manufacturing system can well satisfy these requirements. For this purpose, by referencing the biological organization structure and the mechanism, a bio-inspired manufacturing cell is presented from a novel view, and then a bio-inspired self-adaptive manufacturing model is established based on the ultra-short feedback mechanism of the neuro-endocrine system. A hio-inspired self-adaptive manufacturing system coordinated model is also established based on the neuro-endocrine-immunity system （NEIS）. Finally, an example based on pheromone communication mechanism indicates that the robustness of the whole manufacturing system is improved by bio-inspired technologies.
基金Supported by the National Natural Science Foundation of China（20776042） the National High Technology Research and Development Program of China（2007AA04Z164）+3 种基金 the Doctoral Fund of Ministry of Education of China（20090074110005） the Program for New Century Excellent Talents in University（NCET-09-0346） the＂Shu Guang＂Project（095G29） Shanghai Leading Academic Discipline Project（B504）
文摘Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex problems.In FAGA,immune theory is used to improve the performance of selection operation.And,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control parameters.The experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy GAs.Finally,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.
文摘Newly developed black garlic had made a sensational debut with a strong anti-tumor potency proved by the mouse tumor model in 2006 from our laboratory. At that time few researches on it have been conducted due to less popularity of the products even among the researching field. Since then some of the bio-functional works of the black garlic gradually appeared along with gaining of its popularity. Representative bio-activities reported up to now are： （1） enhancement of anti-tumor potency in the mouse tumor model; （2） immune system enforcement, and suppressive act against allergic symptoms caused by decreasing IL-4 cytokine production; （3） bacteria killing potency; （4） anti-oxidant activity; （5） reduction of carcinogenic potency; （6） lowering cholesterol level and preventive work against obesity; （7） controlling high blood pressure; （8） beneficial effect against diabetics; （9） regenerative effect to the burned skin （Clinical study case） et al. On the black garlic business （marketing）, the Aomori Black Garlic Union （Association） had been established in Aomori Prefecture to offer the citizen high quality, high safety and high security black garlic （products） aiming at contribution for health improvement. All union members are now exerting themselves to the most to attain the high quality production of the black garlic. The quality proving certification seal will be issued to the products that passed the quality approval test by the third party inspections to place it on the their products. This system is now effectively working to guarantee the garlic quality and differentiate the Union member＇s products from others at the markets.
基金Shanghai Natural Science Foundation (01ZF14004) National Technology Innovation Project (02CJ-14 -05 -01)
文摘Production scheduling is one of the most important problems to be considered in the effective performance of the automatic manufacturing system.It is the typical kind of NP-complete problem. The methods commonly used are not suitable to solve complicated problems because the calculating time rises exponentially with the increase of the problem size. In this paper, a new algorithm - immune based scheduling algorithm (IBSA) is proposed. After the description of the mathematics model and the calculating procedure of immune based scheduling,some examples are tested in the software system called HM IM& C that is developed usingVC+ +6.0. The testing results show that IBSA has high efficiency to solve scheduling problem.
基金This work was supported in part by National Natural Science Foundation of China under Grants No.61101108，National S&T Major Program under Grants No.2011ZX03002-005-01
文摘In order to solve the problem that me traditional signature-based detection technology cannot effectively detect unknown malware, we propose in this study a smartphone malware detection model （SP-MDM） based on artificial immune system, in which static malware analysis and dynamic malware analysis techniques are combined, and antigens are generated by encoding the characteristics extracted from the malware. Based on negative selection algorithm, the mature detectors are generated. By introducing clonal selection algorithm, the detectors with higher affinity are selected to undergo a proliferation and somatic hyper-mutation process, so that more excellent detector offspring can be generated. Experimental result shows that the detection model has a higher detection rate for unknown smartphone malware, and better detection performance can be achieved by increasing the clone generation.
基金Projects(60234030, 60404021) supported by the National Natural Science Foundation of China project(040125) supported by the Doctoral Research Grant of Central South University
文摘An artificial immune system was modelled with self/non-self selection to overcome abnormity in a mobile robot demo. The immune modelling includes the innate immune modelling and the adaptive immune modelling. The self/non-self selection includes detection and recognition, and the self/non-self detection is based on the normal model of the demo. After the detection, the non-self recognition is based on learning unknown non-self for the adaptive immunization. The learning was designed on the neural network or on the learning mechanism from examples. The last step is elimination of all the non-self and failover of the demo. The immunization of the mobile robot demo is programmed with Java to test effectiveness of the approach. Some worms infected the mobile robot demo, and caused the abnormity. The results of the immunization simulations show that the immune program can detect 100% worms, recognize all known Worms and most unknown worms, and eliminate the worms. Moreover, the damaged files of the mobile robot demo can all be repaired through the normal model and immunization. Therefore, the immune modelling of the mobile robot demo is effective and programmable in some anti-worms and abnormity detection applications.
基金Acknowledgments We wish to thank Prof GZ Zhang and Prof ZF Zhang at the Sericultural Research Institute of the Chinese Academy of Agricultural Sciences for B. mori strain and silkworm artificial diet, respectively. This work was supported by the National Natural Science Foundation of China （30670659, 30771086, 30721064）, the Major State Basic Research Development Program of China （973 Program） （2006CB500700, 2006CB910700, 2010CB833705）, and the National High Technology Research and Development Program of China （863 Program） （2006AA10A119）.
文摘Kinesins are microtubule-based motors involved in various intracellular transports. Neurons, flagellated cells, and pigment cells have been traditionally used as model systems to study the cellular functions of kinesins. Here, we report silkworm posterior silkgland （PSG）, specialized cells with an extensive endomembrane system for intracellular transport and efficient secretion of fibroin, as a novel model for kinesin study. To investigate kinesindriven intracellular transport in PSG cells, we cloned five silkworm kinesin-like proteins （KLPs）, BmKinesin-1, BmKinesin-6, BmKinesin-7, BmKinesin-13, and BmKinesin-14A. We determined their expression patterns by relative real-time PCR and western blotting. Immunofluorescence microscopy verified their colocalization with microtubules. By combining pull-down assays, LC-MS/MS, and western blotting analysis, we identified many potential cargoes of BmKinesin-1 in PSG, including fibroin-containing granules and exuperantia-associated ribonucleoprotein （RNP） complexes. Moreover, BmKinesin-13 overexpression disrupted the microtubule network in BmN cells, which is consistent with a role of Kinesin-13 in regulating microtubule dynamics in other organisms. On the basis of these results, we concluded that PSG might have advantages in elucidating mechanisms of intracellular transport in secretory tissues and could serve as a potential model for kinesin studies.
文摘Mathematical model that describes breast cancer and immune interactions were presented using system of differential equations to provide analytic and nnmeric framework of cancer-immune dynamics. Four types of immune cells-CTLs （cytotoxic T lymphocytes）, macrophages, NK （natural killer） and helper T cells-known to play the most significant roles in developing breast cancer immunity were modeled using differential equations. The model was then applied to different cancer growth rates and simulated using MATLAB software tool. The parameters of the model were based on experimental and clinical results from published articles. Results supported clinical studies that maximal breast cancer immunity depends mostly on each of the four immune cell types chosen. It was observed that for a given breast cancer growth rate, there was an optimal activation that maximized the response of the immune system. The effectiveness of the immune system resulted in the decrease in breast cancer killing rates. These results highlighted the importance of immune system activations in breast cancer development and treatment. Therefore, the model and its simulation provided a robust framework to better understand breast cancer progression and response to the immune system.
