All engineering students need to develop their important skills of leadership in project management. Many students have never been leaders in their social and school lives. A leading role is unimaginable to them and h...All engineering students need to develop their important skills of leadership in project management. Many students have never been leaders in their social and school lives. A leading role is unimaginable to them and hence they cannot imagine how to achieve it. The purpose of this paper is to report a result of a new leadership education program which links a variety of simulated experiences with real actions of students in project based learning （PBL） to develop their leadership ability. The first step is for graduate students to gain knowledge in the leadership arena. Then, they utilize simulation to experience leadership actions many times. Simulation provides a safe environment in which they can try out many different approaches in taking leadership in various situations. In the next step, students as a team utilize PBL, so that the above simulated experiences can help them to actually take leadership. Students can apply trained leadership to actual projects. It is highly effective to apply conscious leadership to a project aimed at a specific goal in limited circumstances. This education repeats both of the steps above, raising leadership abilities in an upward spiral. In terms of students＇ evaluation of leadership education in project management, 360-degree assessments were carried out by teachers, senior, and junior students before and after the course, and authors compare their assessments thoroughly. As a result, authors are assured that students not only gained knowledge but also raised leadership abilities in their actions after this education. Six months after the time of leadership education employing simulated experiences and PBL, follow-up interviews were conducted on its effects. Authors recognized the cyclic period that students apply simulated experiences to PBL and that they seek different approaches in simulation for solving problems found in reality. This research concludes that this cycle of simulator and PBL can produce effective leadership actions.展开更多
The peculiar nature of control theory as a course that cut across a lot of major engineering disciplines calls for a look into how its learning can best be done without students feeling like they are wasting their tim...The peculiar nature of control theory as a course that cut across a lot of major engineering disciplines calls for a look into how its learning can best be done without students feeling like they are wasting their time.This paper takes a look at control theory as subject cut across various engineering field and has a wide background that students must really be comfortable with.Its wide application and background pose a huge challenge to the teaching of control.It goes further to look into traditional method of teaching,Project-Based Learning Blooms Taxonomy.It then proposes applying Flipped Bloom Taxonomy to Project-based learning for a deep understanding of control systems.展开更多
INTRODUCTION Project based learning(PBL)fully engages students in the subject area,promotes teamwork,transdisciplinary collaboration,allows student teams to engage and solve community design problems and can ultimatel...INTRODUCTION Project based learning(PBL)fully engages students in the subject area,promotes teamwork,transdisciplinary collaboration,allows student teams to engage and solve community design problems and can ultimately lead to broader student worldviews.PBL,however,presents significant curricular challenges,including project definition and meaningful student assessment.The authors began the process of exploring PBL through a National Science Foundation Transformation Undergraduate Education in Science,Technology,Engineering and Mathematics(TUES)award.The program was piloted for two semesters under the TUES award and has now completed its eighth semester overall operating as a special curricular track in parallel with an existing,traditional curricular program in Building Science.With four years of dedicated PBL program experience to inform their efforts,the authors are currently reworking the existing Building Science program curriculum to fully integrate a PBL capstone during the senior year while establishing a clear curricular path,creating a sound base of projects,and maintaining resource limits that include,but are not limited to,facilities,materials and personnel.In this paper,the authors discuss their successes and difficulties with imple-menting PBL in an undergraduate design and construction program by reviewing twelve years of both spontaneous and planned project based PBL experiences in an undergraduate design and construction program.展开更多
Matrix completion is the extension of compressed sensing.In compressed sensing,we solve the underdetermined equations using sparsity prior of the unknown signals.However,in matrix completion,we solve the underdetermin...Matrix completion is the extension of compressed sensing.In compressed sensing,we solve the underdetermined equations using sparsity prior of the unknown signals.However,in matrix completion,we solve the underdetermined equations based on sparsity prior in singular values set of the unknown matrix,which also calls low-rank prior of the unknown matrix.This paper firstly introduces basic concept of matrix completion,analyses the matrix suitably used in matrix completion,and shows that such matrix should satisfy two conditions:low rank and incoherence property.Then the paper provides three reconstruction algorithms commonly used in matrix completion:singular value thresholding algorithm,singular value projection,and atomic decomposition for minimum rank approximation,puts forward their shortcoming to know the rank of original matrix.The Projected Gradient Descent based on Soft Thresholding(STPGD),proposed in this paper predicts the rank of unknown matrix using soft thresholding,and iteratives based on projected gradient descent,thus it could estimate the rank of unknown matrix exactly with low computational complexity,this is verified by numerical experiments.We also analyze the convergence and computational complexity of the STPGD algorithm,point out this algorithm is guaranteed to converge,and analyse the number of iterations needed to reach reconstruction error.Compared the computational complexity of the STPGD algorithm to other algorithms,we draw the conclusion that the STPGD algorithm not only reduces the computational complexity,but also improves the precision of the reconstruction solution.展开更多
Digital image stabilization technique plays important roles in video surveillance and object acquisition.Many useful electronic image stabilization algorithms have been studied.A real-time algorithm is proposed based ...Digital image stabilization technique plays important roles in video surveillance and object acquisition.Many useful electronic image stabilization algorithms have been studied.A real-time algorithm is proposed based on field image gray projection which enables the regional odd and even field image to be projected into x and y directions and thus to get the regional gray projection curves in x and y directions,respectively.For the odd field image channel,motion parameters can be estimated via iterative minimum absolute difference based on two successive field image regional gray projection curves.Then motion compensations can be obtained after using the Kalman filter method.Finally,the odd field image is adjusted according to the compensations.In the mean time,motion compensation is applied to the even field image channel with the odd field image gray projection curves of the current frame.By minimizing absolute difference between odd and even field image gray projection curves of the current frame,the inter-field motion parameters can be estimated.Therefore,the even field image can be adjusted by combining the inter-field motion parameters and the odd field compensations.Finally,the stabilized image sequence can be obtained by synthesizing the adjusted odd and even field images.Experimental results show that the proposed algorithm can run in real-time and have a good stabilization performance.In addition,image blurring can be improved.展开更多
Phase unwrapping is one of the key roles in fringe projection three-dimensional(3D)measurement technology.We propose a new method to achieve phase unwrapping in camera array light filed fringe projection 3D measuremen...Phase unwrapping is one of the key roles in fringe projection three-dimensional(3D)measurement technology.We propose a new method to achieve phase unwrapping in camera array light filed fringe projection 3D measurement based on deep learning.A multi-stream convolutional neural network(CNN)is proposed to learn the mapping relationship between camera array light filed wrapped phases and fringe orders of the expected central view,and is used to predict the fringe order to achieve the phase unwrapping.Experiments are performed on the light field fringe projection data generated by the simulated camera array fringe projection measurement system in Blender and by the experimental 3×3 camera array light field fringe projection system.The performance of the proposed network with light field wrapped phases using multiple directions as network input data is studied,and the advantages of phase unwrapping based on deep learning in light filed fringe projection are demonstrated.展开更多
The index of payback period of dynamic investment is an improvement on index of payback period of static investment, which is the problem that the rules to evaluate the project are feasible or not. This paper proves t...The index of payback period of dynamic investment is an improvement on index of payback period of static investment, which is the problem that the rules to evaluate the project are feasible or not. This paper proves that rules shall be apt when using payback period of dynamic investment to evaluate the project feasibility under the condition of keeping the dynamic evaluation index to evaluate the same scheme and the consistent feasibility.展开更多
The new generation of world information technology revolution has promoted the vigorous development and rapid transform of the new economy.The in-depth implementation of a series of Chinese important national strategi...The new generation of world information technology revolution has promoted the vigorous development and rapid transform of the new economy.The in-depth implementation of a series of Chinese important national strategies such as“Made in China 2025”and“Internet+”is urgently needed the support of innovative and outstanding emerging engineering talents with cross-border integration abilities.Therefore,interdisciplinary education plays an important role in the training of the needed emerging engineering talents.Taking cybersecurity as an example,this paper summarizes the professional’s requirements and proposes the educational objectives of Harbin Institute of Technology.Then the objective oriented curriculum system and the teaching model emphasizing project-based learning are introduced.The practice and effect of interdisciplinary education are discussed and analyzed in four aspects including curriculum system,faculty,students and academy education.Finally,suggestions are made on the individualized education and sustainable competitiveness cultivation of the emerging engineering talents.展开更多
Hydroxyapatite(HA)bioceramics have garnered considerable attention owing to their applications in the field of bone repair and excellent biocompatibility.Compared to extrusion-based 3D printing,projection-based 3D pri...Hydroxyapatite(HA)bioceramics have garnered considerable attention owing to their applications in the field of bone repair and excellent biocompatibility.Compared to extrusion-based 3D printing,projection-based 3D print-ing(3DPP)can fabricate parts with complex geometry,high accuracy,and efficiency,which is very promising for bioceramic scaffolds.However,conventional 3DPP using a paste with low viscosity will cause severe shrinkage of the parts after sintering,which makes it unsuitable for bioceramic scaffolds,and a system investigation of the printing process remains insufficient.In this study,we proposed a 3DPP device suitable for bioceramic scaffolds and investigated the additive manufacturing of HA scaffolds.Ceramic paste properties and process parameters of curing,debinding,and sintering were initially examined.The mechanical properties,shrinkage,and biocompati-bility in vitro of the sintered samples were further investigated.The obtained results indicate that HA bioceramics with uniform morphology,complex structure,and high accuracy can be manufactured using the 3DPP equip-ment.HA scaffolds have the mechanical strength of human cancellous bone,while HA scaffolds cultured with osteoblast precursor cells possess strong biocompatibility and can promote osteoblast adhesion,proliferation,and differentiation.These results suggest a promising application of the 3DPP technique in the preparation of bioceramic scaffolds,and the HA scaffolds fabricated using the 3DPP technique exhibit promising potential in fulfilling a constructive role in the biomedical field of human bone regeneration repair.展开更多
A position sensor based on grating projection with spatial filtering and polarization modulation is presented. A grating is projected onto the object to be measured through a 4f optical system with a spatial filter. A...A position sensor based on grating projection with spatial filtering and polarization modulation is presented. A grating is projected onto the object to be measured through a 4f optical system with a spatial filter. After reflected by the object, the grating projection is imaged on a detection grating through another 4f optical system to form moiré fringes, The polarization modulated moiré signal is detected to obtain the position information of the object. In the position sensor, the moiré signal varies sinusoidally with the position of object. The measurement is independent of the incident intensity on the projection grating and the reflectivity of the object to be measured, In experiments, the effectiveness of the position sensor is proved, and the root mean square （RMS） error at each measurement position is less than 13 nm.展开更多
An improved localization method consisting of ＂filtering-time delay estimationhyperbolic localization＂ is proposed. Combining the empirical mode decomposition（EMD）and time delay estimation method based on generali...An improved localization method consisting of ＂filtering-time delay estimationhyperbolic localization＂ is proposed. Combining the empirical mode decomposition（EMD）and time delay estimation method based on generalized average magnitude difference function,the original signals are decomposed into intrinsic mode function（IMF） components. The energy distribution criterion and spectrum consistency criterion are used to select the IMFs, which can represent the physical characteristics of the source signal. Several sets of signals are applied to estimate the time delay, and then a vector matching criterion is proposed to select the correct time delay estimation. Considering the hydrophones location, a shell model is established and projected to a plane according to the quadrant before the hyperbolic localization. Results of mooring and sailing tests show that the proposed method improves the localization accuracy,and reduces the error caused by time delay estimation.展开更多
The term Internet of Things (IoT) emerged in the early 2000s but actually gained momentum only in the past few years, however we still do not get to see them in our daily life. It has generally been avoided by the mai...The term Internet of Things (IoT) emerged in the early 2000s but actually gained momentum only in the past few years, however we still do not get to see them in our daily life. It has generally been avoided by the mainstream market due to its “cryptic” nature which requires technical knowledge prior to its use. Lack of strong business model (by companies) and inability to adapt to new rapid changes (by consumers) are the two primary factors contributing to the fact that IoT is well ahead of its times but it need no longer be. In this paper, I’ve created a setup for smart home that allows the users to control their electrical appliances from internet and even makes the appliances smart enough to react to the environmental conditions on their own. Using this setup, I observed the pattern in which electricity consumption and carbon footprints reduced as compared to the conventional setup i.e. without IoT. Analyzing this data provided me a solid proof that IoT definitely helps us to save electricity and environment. Since IoT is beneficial for all, I, then focused on the challenges that are hampering the penetration of IoT into the daily lives of consumers and how the consumer is overlooking the benefits that it has to offer, which even includes a primary concern for many, i.e. saving money. This paper is overall aimed to change the way a consumer thinks about IoT and to provide a solid ground to how it is beneficial.展开更多
Point-cloud-projection-based stereo vision technology is widely applied in 3D reconstruction, robotic vision, and virtual reality. A metasurface, known for its exceptional light-field manipulation capabilities and com...Point-cloud-projection-based stereo vision technology is widely applied in 3D reconstruction, robotic vision, and virtual reality. A metasurface, known for its exceptional light-field manipulation capabilities and compact integration, offers a promising approach to reducing system size while enhancing functionality. In this work, we propose and implement a short-wave infrared 3D structured light detection system based on a metasurface supporting a bound state in the continuum(BIC). The designed BIC metasurface exhibits wavelength selectivity, generating a point cloud projection array exclusively under 1350 nm laser illumination, effectively minimizing interference from environmental light and enabling penetration through certain packaging materials opaque to visible light. Using this system, we successfully demonstrate 3D detection and reconstruction of concealed objects, such as lenses and workpieces, within opaque packaging. Our design provides a non-contact,penetrating 3D reconstruction approach for industrial inspection, offering potential applications in nondestructive quality control.展开更多
文摘All engineering students need to develop their important skills of leadership in project management. Many students have never been leaders in their social and school lives. A leading role is unimaginable to them and hence they cannot imagine how to achieve it. The purpose of this paper is to report a result of a new leadership education program which links a variety of simulated experiences with real actions of students in project based learning （PBL） to develop their leadership ability. The first step is for graduate students to gain knowledge in the leadership arena. Then, they utilize simulation to experience leadership actions many times. Simulation provides a safe environment in which they can try out many different approaches in taking leadership in various situations. In the next step, students as a team utilize PBL, so that the above simulated experiences can help them to actually take leadership. Students can apply trained leadership to actual projects. It is highly effective to apply conscious leadership to a project aimed at a specific goal in limited circumstances. This education repeats both of the steps above, raising leadership abilities in an upward spiral. In terms of students＇ evaluation of leadership education in project management, 360-degree assessments were carried out by teachers, senior, and junior students before and after the course, and authors compare their assessments thoroughly. As a result, authors are assured that students not only gained knowledge but also raised leadership abilities in their actions after this education. Six months after the time of leadership education employing simulated experiences and PBL, follow-up interviews were conducted on its effects. Authors recognized the cyclic period that students apply simulated experiences to PBL and that they seek different approaches in simulation for solving problems found in reality. This research concludes that this cycle of simulator and PBL can produce effective leadership actions.
文摘The peculiar nature of control theory as a course that cut across a lot of major engineering disciplines calls for a look into how its learning can best be done without students feeling like they are wasting their time.This paper takes a look at control theory as subject cut across various engineering field and has a wide background that students must really be comfortable with.Its wide application and background pose a huge challenge to the teaching of control.It goes further to look into traditional method of teaching,Project-Based Learning Blooms Taxonomy.It then proposes applying Flipped Bloom Taxonomy to Project-based learning for a deep understanding of control systems.
文摘INTRODUCTION Project based learning(PBL)fully engages students in the subject area,promotes teamwork,transdisciplinary collaboration,allows student teams to engage and solve community design problems and can ultimately lead to broader student worldviews.PBL,however,presents significant curricular challenges,including project definition and meaningful student assessment.The authors began the process of exploring PBL through a National Science Foundation Transformation Undergraduate Education in Science,Technology,Engineering and Mathematics(TUES)award.The program was piloted for two semesters under the TUES award and has now completed its eighth semester overall operating as a special curricular track in parallel with an existing,traditional curricular program in Building Science.With four years of dedicated PBL program experience to inform their efforts,the authors are currently reworking the existing Building Science program curriculum to fully integrate a PBL capstone during the senior year while establishing a clear curricular path,creating a sound base of projects,and maintaining resource limits that include,but are not limited to,facilities,materials and personnel.In this paper,the authors discuss their successes and difficulties with imple-menting PBL in an undergraduate design and construction program by reviewing twelve years of both spontaneous and planned project based PBL experiences in an undergraduate design and construction program.
基金Supported by the National Natural Science Foundation ofChina(No.61271240)Jiangsu Province Natural Science Fund Project(No.BK2010077)Subject of Twelfth Five Years Plans in Jiangsu Second Normal University(No.417103)
文摘Matrix completion is the extension of compressed sensing.In compressed sensing,we solve the underdetermined equations using sparsity prior of the unknown signals.However,in matrix completion,we solve the underdetermined equations based on sparsity prior in singular values set of the unknown matrix,which also calls low-rank prior of the unknown matrix.This paper firstly introduces basic concept of matrix completion,analyses the matrix suitably used in matrix completion,and shows that such matrix should satisfy two conditions:low rank and incoherence property.Then the paper provides three reconstruction algorithms commonly used in matrix completion:singular value thresholding algorithm,singular value projection,and atomic decomposition for minimum rank approximation,puts forward their shortcoming to know the rank of original matrix.The Projected Gradient Descent based on Soft Thresholding(STPGD),proposed in this paper predicts the rank of unknown matrix using soft thresholding,and iteratives based on projected gradient descent,thus it could estimate the rank of unknown matrix exactly with low computational complexity,this is verified by numerical experiments.We also analyze the convergence and computational complexity of the STPGD algorithm,point out this algorithm is guaranteed to converge,and analyse the number of iterations needed to reach reconstruction error.Compared the computational complexity of the STPGD algorithm to other algorithms,we draw the conclusion that the STPGD algorithm not only reduces the computational complexity,but also improves the precision of the reconstruction solution.
基金supported by the National Natural Science Foundation of China(6110118561302145)
文摘Digital image stabilization technique plays important roles in video surveillance and object acquisition.Many useful electronic image stabilization algorithms have been studied.A real-time algorithm is proposed based on field image gray projection which enables the regional odd and even field image to be projected into x and y directions and thus to get the regional gray projection curves in x and y directions,respectively.For the odd field image channel,motion parameters can be estimated via iterative minimum absolute difference based on two successive field image regional gray projection curves.Then motion compensations can be obtained after using the Kalman filter method.Finally,the odd field image is adjusted according to the compensations.In the mean time,motion compensation is applied to the even field image channel with the odd field image gray projection curves of the current frame.By minimizing absolute difference between odd and even field image gray projection curves of the current frame,the inter-field motion parameters can be estimated.Therefore,the even field image can be adjusted by combining the inter-field motion parameters and the odd field compensations.Finally,the stabilized image sequence can be obtained by synthesizing the adjusted odd and even field images.Experimental results show that the proposed algorithm can run in real-time and have a good stabilization performance.In addition,image blurring can be improved.
基金the National Natural Science Foundation of China(No.61905178)the Science&Technology Development Fund of Tianjin Education Commission for Higher Education(No.2019KJ021)the Natural Science Foundation of Tianjin(No.18JCQNJC71100)。
文摘Phase unwrapping is one of the key roles in fringe projection three-dimensional(3D)measurement technology.We propose a new method to achieve phase unwrapping in camera array light filed fringe projection 3D measurement based on deep learning.A multi-stream convolutional neural network(CNN)is proposed to learn the mapping relationship between camera array light filed wrapped phases and fringe orders of the expected central view,and is used to predict the fringe order to achieve the phase unwrapping.Experiments are performed on the light field fringe projection data generated by the simulated camera array fringe projection measurement system in Blender and by the experimental 3×3 camera array light field fringe projection system.The performance of the proposed network with light field wrapped phases using multiple directions as network input data is studied,and the advantages of phase unwrapping based on deep learning in light filed fringe projection are demonstrated.
基金This paper is supported by the National Natural Science Foundation of China （No.59579029）
文摘The index of payback period of dynamic investment is an improvement on index of payback period of static investment, which is the problem that the rules to evaluate the project are feasible or not. This paper proves that rules shall be apt when using payback period of dynamic investment to evaluate the project feasibility under the condition of keeping the dynamic evaluation index to evaluate the same scheme and the consistent feasibility.
基金supported in part by the Ministry of Education of the People’s Republic of China under the Emerging Engineering Education Research and Practice Projects of”Research and Practice on the Cooperative Education Model of Industry-Academic Cooperation in the Emerging Engineering Education System of Chinese Universities”and“Exploration and Practice of Engineering Talent Education Model with Multidisciplinary Integration”and under Grant 18JDGC014,and by the Shandong Provincial Department of Education under Grant M2018B336.
文摘The new generation of world information technology revolution has promoted the vigorous development and rapid transform of the new economy.The in-depth implementation of a series of Chinese important national strategies such as“Made in China 2025”and“Internet+”is urgently needed the support of innovative and outstanding emerging engineering talents with cross-border integration abilities.Therefore,interdisciplinary education plays an important role in the training of the needed emerging engineering talents.Taking cybersecurity as an example,this paper summarizes the professional’s requirements and proposes the educational objectives of Harbin Institute of Technology.Then the objective oriented curriculum system and the teaching model emphasizing project-based learning are introduced.The practice and effect of interdisciplinary education are discussed and analyzed in four aspects including curriculum system,faculty,students and academy education.Finally,suggestions are made on the individualized education and sustainable competitiveness cultivation of the emerging engineering talents.
基金supported by National Natural Science Foundation of China(Grant Nos.51805475,81827804)Zhejiang Provincial Natural Science Foundation of China(Grant No.LY22E050011)+1 种基金Open Founda-tion of the State Key Laboratory of Fluid Power and Mechatronic Sys-tems(Grant No.GZKF-202102)Jiangsu Key Laboratory of 3D Print-ing Equipment and Manufacturing(Grant No.3DL202105).
文摘Hydroxyapatite(HA)bioceramics have garnered considerable attention owing to their applications in the field of bone repair and excellent biocompatibility.Compared to extrusion-based 3D printing,projection-based 3D print-ing(3DPP)can fabricate parts with complex geometry,high accuracy,and efficiency,which is very promising for bioceramic scaffolds.However,conventional 3DPP using a paste with low viscosity will cause severe shrinkage of the parts after sintering,which makes it unsuitable for bioceramic scaffolds,and a system investigation of the printing process remains insufficient.In this study,we proposed a 3DPP device suitable for bioceramic scaffolds and investigated the additive manufacturing of HA scaffolds.Ceramic paste properties and process parameters of curing,debinding,and sintering were initially examined.The mechanical properties,shrinkage,and biocompati-bility in vitro of the sintered samples were further investigated.The obtained results indicate that HA bioceramics with uniform morphology,complex structure,and high accuracy can be manufactured using the 3DPP equip-ment.HA scaffolds have the mechanical strength of human cancellous bone,while HA scaffolds cultured with osteoblast precursor cells possess strong biocompatibility and can promote osteoblast adhesion,proliferation,and differentiation.These results suggest a promising application of the 3DPP technique in the preparation of bioceramic scaffolds,and the HA scaffolds fabricated using the 3DPP technique exhibit promising potential in fulfilling a constructive role in the biomedical field of human bone regeneration repair.
文摘A position sensor based on grating projection with spatial filtering and polarization modulation is presented. A grating is projected onto the object to be measured through a 4f optical system with a spatial filter. After reflected by the object, the grating projection is imaged on a detection grating through another 4f optical system to form moiré fringes, The polarization modulated moiré signal is detected to obtain the position information of the object. In the position sensor, the moiré signal varies sinusoidally with the position of object. The measurement is independent of the incident intensity on the projection grating and the reflectivity of the object to be measured, In experiments, the effectiveness of the position sensor is proved, and the root mean square （RMS） error at each measurement position is less than 13 nm.
基金supported by the National Natural Science Foundation of China(51209214)the Research Development Foundation of Naval University of Engineering(425517K031)
文摘An improved localization method consisting of ＂filtering-time delay estimationhyperbolic localization＂ is proposed. Combining the empirical mode decomposition（EMD）and time delay estimation method based on generalized average magnitude difference function,the original signals are decomposed into intrinsic mode function（IMF） components. The energy distribution criterion and spectrum consistency criterion are used to select the IMFs, which can represent the physical characteristics of the source signal. Several sets of signals are applied to estimate the time delay, and then a vector matching criterion is proposed to select the correct time delay estimation. Considering the hydrophones location, a shell model is established and projected to a plane according to the quadrant before the hyperbolic localization. Results of mooring and sailing tests show that the proposed method improves the localization accuracy,and reduces the error caused by time delay estimation.
文摘The term Internet of Things (IoT) emerged in the early 2000s but actually gained momentum only in the past few years, however we still do not get to see them in our daily life. It has generally been avoided by the mainstream market due to its “cryptic” nature which requires technical knowledge prior to its use. Lack of strong business model (by companies) and inability to adapt to new rapid changes (by consumers) are the two primary factors contributing to the fact that IoT is well ahead of its times but it need no longer be. In this paper, I’ve created a setup for smart home that allows the users to control their electrical appliances from internet and even makes the appliances smart enough to react to the environmental conditions on their own. Using this setup, I observed the pattern in which electricity consumption and carbon footprints reduced as compared to the conventional setup i.e. without IoT. Analyzing this data provided me a solid proof that IoT definitely helps us to save electricity and environment. Since IoT is beneficial for all, I, then focused on the challenges that are hampering the penetration of IoT into the daily lives of consumers and how the consumer is overlooking the benefits that it has to offer, which even includes a primary concern for many, i.e. saving money. This paper is overall aimed to change the way a consumer thinks about IoT and to provide a solid ground to how it is beneficial.
基金National Key Researchand Development Program of China(2022YFB4600204)Beijing Outstanding Young Scientist Program(BJJWZYJH01201910007022)+1 种基金National Natural Science Foundation of China(12104046,62105024,61775019,62475018,U21A20140)Natural Science Foundation of Beijing Municipality(JQ24028).
文摘Point-cloud-projection-based stereo vision technology is widely applied in 3D reconstruction, robotic vision, and virtual reality. A metasurface, known for its exceptional light-field manipulation capabilities and compact integration, offers a promising approach to reducing system size while enhancing functionality. In this work, we propose and implement a short-wave infrared 3D structured light detection system based on a metasurface supporting a bound state in the continuum(BIC). The designed BIC metasurface exhibits wavelength selectivity, generating a point cloud projection array exclusively under 1350 nm laser illumination, effectively minimizing interference from environmental light and enabling penetration through certain packaging materials opaque to visible light. Using this system, we successfully demonstrate 3D detection and reconstruction of concealed objects, such as lenses and workpieces, within opaque packaging. Our design provides a non-contact,penetrating 3D reconstruction approach for industrial inspection, offering potential applications in nondestructive quality control.
