<div style="text-align:justify;"> In this work, we have proposed a scattering spectra-based method for inverting the surface materials and material proportions of space objects (SOs) from long distance...<div style="text-align:justify;"> In this work, we have proposed a scattering spectra-based method for inverting the surface materials and material proportions of space objects (SOs) from long distances. The results of this work shall improve efforts to characterize and predict the orbits of space debris. We first constructed a physical model for SO characterization based on scattering spectra and then provided a least-squares solution with minimum-norm (LSMN) algorithm for inverting the surface materials and material proportions of an SO. The optical reflectance of complex material surfaces was characterized using a bidirectional reflectance distribution function (BRDF)-based multimodal fusion model that uses the characteristics of the light source, the reflectance of the target’s surface materials, and structures, and the angle of incidence and reflection. The area of each material in the BRDF was then treated as the to-be-inverted parameter. The proposed method was then experimentally validated using four sets of materials. The materials and proportions of equiproportional and non-equiproportional combinations of materials were inverted by the proposed method, and the average inversion error was less than 10%. According to the relationship curve be-tween experimental data error and inversion error, and between theoretical error and inversion error, it can be concluded that the accuracy of inversion error has a linear relationship with the measurement data error. In summary, we have provided a new technical approach for the inversion and characterization of SO materials and material proportions from long distances. </div>展开更多
受激布里渊散射效应具有光谱线宽窄、频率稳定和增益方向敏感等优点,常用于激光器,慢光产生和微波光子滤波器等.本文基于As_(2)S_(3)硫系玻璃、以SiO_(2)为衬底设计了一种亚微米尺寸的带空气狭缝倒置结构脊型波导结构,具有高达8.22×...受激布里渊散射效应具有光谱线宽窄、频率稳定和增益方向敏感等优点,常用于激光器,慢光产生和微波光子滤波器等.本文基于As_(2)S_(3)硫系玻璃、以SiO_(2)为衬底设计了一种亚微米尺寸的带空气狭缝倒置结构脊型波导结构,具有高达8.22×10^(4)W^(–1)·m^(–1)的后向受激布里渊散射增益系数.研究显示在该结构的同种光学和声学模式下,更小的声光场有效模场面积具有更高的后向受激布里渊散射增益系数.还分析了硫系玻璃的光学损耗对后向受激布里渊散射的影响,发现当波导长度超过最优值后,斯托克斯光波功率开始下降,而增大泵浦光功率不仅可以提高斯托克斯光波功率的极大值,同时还会增大波导长度的最优值.当所输入的泵浦光功率为20 mW时,受激布里渊散射增益达到100 d B波导长度仅需要2 cm,这非常有利于光子器件的片上集成.展开更多
In Wireless Body Area Networks(WBANs)with respect to health care,sensors are positioned inside the body of an individual to transfer sensed data to a central station periodically.The great challenges posed to healthca...In Wireless Body Area Networks(WBANs)with respect to health care,sensors are positioned inside the body of an individual to transfer sensed data to a central station periodically.The great challenges posed to healthcare WBANs are the black hole and sink hole attacks.Data from deployed sensor nodes are attracted by sink hole or black hole nodes while grabbing the shortest path.Identifying this issue is quite a challenging task as a small variation in medicine intake may result in a severe illness.This work proposes a hybrid detection framework for attacks by applying a Proportional Coinciding Score(PCS)and an MK-Means algorithm,which is a well-known machine learning technique used to raise attack detection accuracy and decrease computational difficulties while giving treatments for heartache and respiratory issues.First,the gathered training data feature count is reduced through data pre-processing in the PCS.Second,the pre-processed features are sent to the MK-Means algorithm for training the data and promoting classification.Third,certain attack detection measures given by the intrusion detection system,such as the number of data packages trans-received,are identified by the MK-Means algorithm.This study demonstrates that the MK-Means framework yields a high detection accuracy with a low packet loss rate,low communication overhead,and reduced end-to-end delay in the network and improves the accuracy of biomedical data.展开更多
文摘<div style="text-align:justify;"> In this work, we have proposed a scattering spectra-based method for inverting the surface materials and material proportions of space objects (SOs) from long distances. The results of this work shall improve efforts to characterize and predict the orbits of space debris. We first constructed a physical model for SO characterization based on scattering spectra and then provided a least-squares solution with minimum-norm (LSMN) algorithm for inverting the surface materials and material proportions of an SO. The optical reflectance of complex material surfaces was characterized using a bidirectional reflectance distribution function (BRDF)-based multimodal fusion model that uses the characteristics of the light source, the reflectance of the target’s surface materials, and structures, and the angle of incidence and reflection. The area of each material in the BRDF was then treated as the to-be-inverted parameter. The proposed method was then experimentally validated using four sets of materials. The materials and proportions of equiproportional and non-equiproportional combinations of materials were inverted by the proposed method, and the average inversion error was less than 10%. According to the relationship curve be-tween experimental data error and inversion error, and between theoretical error and inversion error, it can be concluded that the accuracy of inversion error has a linear relationship with the measurement data error. In summary, we have provided a new technical approach for the inversion and characterization of SO materials and material proportions from long distances. </div>
文摘受激布里渊散射效应具有光谱线宽窄、频率稳定和增益方向敏感等优点,常用于激光器,慢光产生和微波光子滤波器等.本文基于As_(2)S_(3)硫系玻璃、以SiO_(2)为衬底设计了一种亚微米尺寸的带空气狭缝倒置结构脊型波导结构,具有高达8.22×10^(4)W^(–1)·m^(–1)的后向受激布里渊散射增益系数.研究显示在该结构的同种光学和声学模式下,更小的声光场有效模场面积具有更高的后向受激布里渊散射增益系数.还分析了硫系玻璃的光学损耗对后向受激布里渊散射的影响,发现当波导长度超过最优值后,斯托克斯光波功率开始下降,而增大泵浦光功率不仅可以提高斯托克斯光波功率的极大值,同时还会增大波导长度的最优值.当所输入的泵浦光功率为20 mW时,受激布里渊散射增益达到100 d B波导长度仅需要2 cm,这非常有利于光子器件的片上集成.
基金funded by Stefan cel Mare University of Suceava,Romania.
文摘In Wireless Body Area Networks(WBANs)with respect to health care,sensors are positioned inside the body of an individual to transfer sensed data to a central station periodically.The great challenges posed to healthcare WBANs are the black hole and sink hole attacks.Data from deployed sensor nodes are attracted by sink hole or black hole nodes while grabbing the shortest path.Identifying this issue is quite a challenging task as a small variation in medicine intake may result in a severe illness.This work proposes a hybrid detection framework for attacks by applying a Proportional Coinciding Score(PCS)and an MK-Means algorithm,which is a well-known machine learning technique used to raise attack detection accuracy and decrease computational difficulties while giving treatments for heartache and respiratory issues.First,the gathered training data feature count is reduced through data pre-processing in the PCS.Second,the pre-processed features are sent to the MK-Means algorithm for training the data and promoting classification.Third,certain attack detection measures given by the intrusion detection system,such as the number of data packages trans-received,are identified by the MK-Means algorithm.This study demonstrates that the MK-Means framework yields a high detection accuracy with a low packet loss rate,low communication overhead,and reduced end-to-end delay in the network and improves the accuracy of biomedical data.
