The purpose of computer-aided design of new adaptive pulsed arc technologies of welding is: to de- sign optimum algorithms of pulsed control over main energy parameters of welding.It permits:to in- crease welding ...The purpose of computer-aided design of new adaptive pulsed arc technologies of welding is: to de- sign optimum algorithms of pulsed control over main energy parameters of welding.It permits:to in- crease welding productivity, to stabilize the welding regime, to control weld formation,taking into ac- count its spatial position, to proveal specie strength of the welded and coatings. Computer- aided design reduces the time of development of new pulsed arc technology:provides the optimization of technological referes according to the operating conditions of welded joints,the prediction of the ser- vice life of the welds.The developed methodology of computer-aided design of advanced technologies, models, original software, adaptive algorithms of pulsed control, and spend equipment permits to regulate penetration,the weld shape, the sizes of heat - affected zone; to predict sired properties and quality of welded joints.展开更多
With the development of computer technology, Computer-Aided Translation(CAT) is widely used in the translation process, thus increasing the efficiency of the entire translation work. The purpose of this article is to ...With the development of computer technology, Computer-Aided Translation(CAT) is widely used in the translation process, thus increasing the efficiency of the entire translation work. The purpose of this article is to analyze the importance of introducing CAT technology into translation teaching and explore some ways of integrating CAT technology with translation teaching, so as to improve the quality of the translators and the translation work.展开更多
This article begins with a brief analysis of the significance of translation technology in different spheres of modern life,followed by a distinction between machine translation(MT)and computer-aided translation(CAT)....This article begins with a brief analysis of the significance of translation technology in different spheres of modern life,followed by a distinction between machine translation(MT)and computer-aided translation(CAT).It then describes some translation resources and tools and examines the negative and positive aspects of computer-aided translations.Finally it comes to a conclusion that it would be greatly efficient and productive for the translators to acquire the new skills in the translation workplace.展开更多
Terrain Aided Navigation(TAN)technology has become increasingly important due to its effectiveness in environments where Global Positioning System(GPS)is unavailable.In recent years,TAN systems have been extensively r...Terrain Aided Navigation(TAN)technology has become increasingly important due to its effectiveness in environments where Global Positioning System(GPS)is unavailable.In recent years,TAN systems have been extensively researched for both aerial and underwater navigation applications.However,many TAN systems that rely on recursive Unmanned Aerial Vehicle(UAV)position estimation methods,such as Extended Kalman Filters(EKF),often face challenges with divergence and instability,particularly in highly non-linear systems.To address these issues,this paper proposes and investigates a hybrid two-stage TAN positioning system for UAVs that utilizes Particle Filter.To enhance the system’s robustness against uncertainties caused by noise and to estimate additional system states,a Fuzzy Particle Filter(FPF)is employed in the first stage.This approach introduces a novel terrain composite feature that enables a fuzzy expert system to analyze terrain non-linearities and dynamically adjust the number of particles in real-time.This design allows the UAV to be efficiently localized in GPS-denied environments while also reducing the computational complexity of the particle filter in real-time applications.In the second stage,an Error State Kalman Filter(ESKF)is implemented to estimate the UAV’s altitude.The ESKF is chosen over the conventional EKF method because it is more suitable for non-linear systems.Simulation results demonstrate that the proposed fuzzy-based terrain composite method achieves high positional accuracy while reducing computational time and memory usage.展开更多
BACKGROUND Early detection of esophageal squamous neoplasms(ESN)is essential for improving patient prognosis.Optical diagnosis of ESN remains challenging.Probebased confocal laser endomicroscopy(pCLE)enables accurate ...BACKGROUND Early detection of esophageal squamous neoplasms(ESN)is essential for improving patient prognosis.Optical diagnosis of ESN remains challenging.Probebased confocal laser endomicroscopy(pCLE)enables accurate in vivo histological observation and optical biopsy of ESN.However,interpretation of pCLE images requires histopathological expertise and extensive training.Artificial intelligence(AI)has been widely applied in digestive endoscopy;however,AI for pCLE diagnosis of ESN has not been reported.AIM To develop a pCLE computer-aided diagnostic system for ESN and assess its diagnostic performance and assistant efficiency for nonexpert endoscopists.METHODS The intelligent confocal laser endomicroscopy(iCLE)system consists of image recognition(based on inception-ResNet V2),video diagnosis,and quality judgment modules.This system was developed using pCLE images and videos and evaluated through image and prospective video recognition tests.Patients between June 2020 and January 2023 were prospectively enrolled.Expert and nonexpert endoscopists and the iCLE independently performed diagnoses for pCLE videos,with histopathology as the gold standard.Thereafter,the non-expert endoscopists performed a second assessment with iCLE assistance.RESULTS A total of 25056 images from 2803 patients were selected for iCLE training and validation.Another 2442 images from 226 patients were used for testing.iCLE achieved a high accuracy of 98.3%,sensitivity of 95.3%and specificity of 98.8%for diagnosing ESN images.A total of 2581 patients underwent upper gastrointestinal pCLE examination and were prospectively screened;54 patients with suspected ESN were enrolled.Overall,187 videos from 67 lesions were assessed by iCLE,three nonexpert and three expert endoscopists.iCLE achieved a high accuracy,sensitivity and specificity of 90.9%,92.0%,and 90.2%,respectively.Compared to experts,iCLE showed significantly higher sensitivity(92.0%vs 80.4%;P<0.001)and negative predictive value(94.4%vs 87.7%;P=0.003).With iCLE assistance,nonexpert endoscopists showed significant improvements in accuracy(from 83.6%to 88.6%)and sensitivity(from 76.0%to 89.8%).CONCLUSION iCLE system demonstrated high diagnostic performance for ESN.It can assist nonexpert endoscopists in improving the diagnostic efficiency of pCLE for ESN and has the potential for reducing unnecessary biopsies.展开更多
The finite element analysis and the optimum design of aluminum profile extrusion mould were investigated using the ANSYS software and its parameterized modeling method. The optimum dimensions of the mould were obtaine...The finite element analysis and the optimum design of aluminum profile extrusion mould were investigated using the ANSYS software and its parameterized modeling method. The optimum dimensions of the mould were obtained. It is found that the stress distribution is very uneven, and the stress convergence is rather severe in the bridge of the aluminum profile extrusion mould. The optimum height of the mould is 70.527 mm, and the optimum radius of dividing holes are 70.182 mm and 80.663 mm. Increasing the height of the mould in the range of 61.282 mm to 70.422 mm can prolong its longevity, but when the height is over 70.422 mm, its longevity reduces.展开更多
Segmenting the lesion regions from the ultrasound （US） images is an important step in the intra-operative planning of some computer-aided therapies. High-Intensity Focused Ultrasound （HIFU）, as a popular computer-...Segmenting the lesion regions from the ultrasound （US） images is an important step in the intra-operative planning of some computer-aided therapies. High-Intensity Focused Ultrasound （HIFU）, as a popular computer-aided therapy, has been widely used in the treatment of uterine fibroids. However, such segmentation in HIFU remains challenge for two reasons： （1） the blurry or missing boundaries of lesion regions in the HIFU images and （2） the deformation of uterine fibroids caused by the patient＇s breathing or an external force during the US imaging process, which can lead to complex shapes of lesion regions. These factors have prevented classical active contour-based segmentation methods from yielding desired results for uterine fibroids in US images. In this paper, a novel active contour-based segmentation method is proposed, which utilizes the correlation information of target shapes among a sequence of images as prior knowledge to aid the existing active contour method. This prior knowledge can be interpreted as a unsupervised clustering of shapes prior modeling. Meanwhile, it is also proved that the shapes correlation has the low-rank property in a linear space, and the theory of matrix recovery is used as an effective tool to impose the proposed prior on an existing active contour model. Finally, an accurate method is developed to solve the proposed model by using the Augmented Lagrange Multiplier （ALM）. Experimental results from both synthetic and clinical uterine fibroids US image sequences demonstrate that the proposed method can consistently improve the performance of active contour models and increase the robustness against missing or misleading boundaries, and can greatly improve the efficiency of HIFU therapy.展开更多
In the heart of Addis Ababa,where tradition meets modern ambition,a gleaming structure of steel and glass is quietly reshaping Africa’s future.The new Africa Centres for Disease Control and Prevention(Africa CDC)Head...In the heart of Addis Ababa,where tradition meets modern ambition,a gleaming structure of steel and glass is quietly reshaping Africa’s future.The new Africa Centres for Disease Control and Prevention(Africa CDC)Headquarters is more than just a building-it’s a bold statement of partnership,progress,and a shared commitment to advancing public health across the continent.展开更多
The aim of this study was to prospectively assess the accuracy gain of Bayesian analysis-based computeraided diagnosis(CAD) vs human judgment alone in characterizing solitary pulmonary nodules(SPNs) at computed tomogr...The aim of this study was to prospectively assess the accuracy gain of Bayesian analysis-based computeraided diagnosis(CAD) vs human judgment alone in characterizing solitary pulmonary nodules(SPNs) at computed tomography(CT). The study included 100 randomly selected SPNs with a definitive diagnosis. Nodule features at first and follow-up CT scans as well as clinical data were evaluated individually on a 1 to 5 points risk chart by 7 radiologists, firstly blinded then aware of Bayesian Inference Malignancy Calculator(BIMC) model predictions. Raters' predictions were evaluated by means of receiver operating characteristic(ROC) curve analysis and decision analysis. Overall ROC area under the curve was 0.758 before and 0.803 after the disclosure of CAD predictions(P = 0.003). A net gain in diagnostic accuracy was found in 6 out of 7 readers. Mean risk class of benign nodules dropped from 2.48 to 2.29, while mean risk class of malignancies rose from 3.66 to 3.92. Awareness of CAD predictions also determined a significant drop on mean indeterminate SPNs(15 vs 23.86 SPNs) and raised the mean number of correct and confident diagnoses(mean 39.57 vs 25.71 SPNs). This study provides evidence supporting the integration of the Bayesian analysis-based BIMC model in SPN characterization.展开更多
Summary： Preoperative planning of corrective osteotomy with traditional radiography has limitations in regards to determining the ideal osteotomy location and orientation in three-dimensional femoral de- formities. T...Summary： Preoperative planning of corrective osteotomy with traditional radiography has limitations in regards to determining the ideal osteotomy location and orientation in three-dimensional femoral de- formities. Though a successful operation can be planned preoperatively, intraoperative contingencies might adhere to the procedural plan in the performance of operation. To efficiently perform a planned procedure, proposed is a design to implement three-dimensional reconstruction photography, based on computer-tomography （CT） scan. A custom-made guide was designed to navigate the osteotomy as planned, and additionally, a personalized intramedullary nail was used for fixation after osteotomy. Three-dimensional （3D） photography of deformed femur was established based on the CT dataset and transferred into 3D photography processing software for further planning. Osteotomy planes were de- signed and adjusted at deformity sites to correct the 3D deformities. The methodology of a custom-made osteotomy guide was introduced in femoral corrective osteotomy, for the first time, to navigate the op- eration as planned. After the virtual osteotomy and reduction of bone segments, the parameters of a custom-made intramedullary nail were measured for manufacturing. Findings Virtual operation in computer shows complete correction of the 3D deformity. The osteotomy guide, obtained by rapid-prototyping techniques, navigates mimicking surgery on rapid-prototyping model of the involved femur as planned. Internal fixation was achieved using the custom-made intramedullary nail. Interpreta- tion three-dimensional visualization introduces an advantage in preoperative planning for corrective os- teotomy of 3D femoral deformity, and the custom-made osteotomy guide is crucial to realize such a de- liberate plan during the actual procedures. The internal fixator, such as an intramedullary nail, can be modified or personalized for fixation in unique cases.展开更多
In the present paper, the effect of BK- 91A Computer-aided Anesthesia and Treatment Appara-tus for 61 cases of craniotomy was observed. All the patients were intracranial tumors or hemotornaand randomly divided into g...In the present paper, the effect of BK- 91A Computer-aided Anesthesia and Treatment Appara-tus for 61 cases of craniotomy was observed. All the patients were intracranial tumors or hemotornaand randomly divided into group A (31 cases) and B (30 cases). The basic state of disease, the ap-plied medicines before and after operations and the acupoint selection rnethod in the two groups werethe same basically. ln group A BK - 91A was used and all the plate electrodes were sticked to the acu-points and an enduable stimulation strength was given. In group B, WQ- 10 Type Multi-purposeElectronic Acupoint Detector was used to stimulate acupoints with frequency of 120-150 cycles/min.and an enduable strength. Criteria for grading were according to the united national standards: gradeI /A (excellent), grade I/B (good) and grade Ⅱ (failed, referred to that the used anesthetics orsedatives surpassed the fixed dosages).展开更多
文摘The purpose of computer-aided design of new adaptive pulsed arc technologies of welding is: to de- sign optimum algorithms of pulsed control over main energy parameters of welding.It permits:to in- crease welding productivity, to stabilize the welding regime, to control weld formation,taking into ac- count its spatial position, to proveal specie strength of the welded and coatings. Computer- aided design reduces the time of development of new pulsed arc technology:provides the optimization of technological referes according to the operating conditions of welded joints,the prediction of the ser- vice life of the welds.The developed methodology of computer-aided design of advanced technologies, models, original software, adaptive algorithms of pulsed control, and spend equipment permits to regulate penetration,the weld shape, the sizes of heat - affected zone; to predict sired properties and quality of welded joints.
文摘With the development of computer technology, Computer-Aided Translation(CAT) is widely used in the translation process, thus increasing the efficiency of the entire translation work. The purpose of this article is to analyze the importance of introducing CAT technology into translation teaching and explore some ways of integrating CAT technology with translation teaching, so as to improve the quality of the translators and the translation work.
文摘This article begins with a brief analysis of the significance of translation technology in different spheres of modern life,followed by a distinction between machine translation(MT)and computer-aided translation(CAT).It then describes some translation resources and tools and examines the negative and positive aspects of computer-aided translations.Finally it comes to a conclusion that it would be greatly efficient and productive for the translators to acquire the new skills in the translation workplace.
文摘Terrain Aided Navigation(TAN)technology has become increasingly important due to its effectiveness in environments where Global Positioning System(GPS)is unavailable.In recent years,TAN systems have been extensively researched for both aerial and underwater navigation applications.However,many TAN systems that rely on recursive Unmanned Aerial Vehicle(UAV)position estimation methods,such as Extended Kalman Filters(EKF),often face challenges with divergence and instability,particularly in highly non-linear systems.To address these issues,this paper proposes and investigates a hybrid two-stage TAN positioning system for UAVs that utilizes Particle Filter.To enhance the system’s robustness against uncertainties caused by noise and to estimate additional system states,a Fuzzy Particle Filter(FPF)is employed in the first stage.This approach introduces a novel terrain composite feature that enables a fuzzy expert system to analyze terrain non-linearities and dynamically adjust the number of particles in real-time.This design allows the UAV to be efficiently localized in GPS-denied environments while also reducing the computational complexity of the particle filter in real-time applications.In the second stage,an Error State Kalman Filter(ESKF)is implemented to estimate the UAV’s altitude.The ESKF is chosen over the conventional EKF method because it is more suitable for non-linear systems.Simulation results demonstrate that the proposed fuzzy-based terrain composite method achieves high positional accuracy while reducing computational time and memory usage.
基金Supported by the National Key Research and Development Program of China,No.2023YFC2413800the Taishan Scholars Program of Shandong Province,No.tsqn202306344the National Natural Science Foundation of China,No.82270580 and No.82070552.
文摘BACKGROUND Early detection of esophageal squamous neoplasms(ESN)is essential for improving patient prognosis.Optical diagnosis of ESN remains challenging.Probebased confocal laser endomicroscopy(pCLE)enables accurate in vivo histological observation and optical biopsy of ESN.However,interpretation of pCLE images requires histopathological expertise and extensive training.Artificial intelligence(AI)has been widely applied in digestive endoscopy;however,AI for pCLE diagnosis of ESN has not been reported.AIM To develop a pCLE computer-aided diagnostic system for ESN and assess its diagnostic performance and assistant efficiency for nonexpert endoscopists.METHODS The intelligent confocal laser endomicroscopy(iCLE)system consists of image recognition(based on inception-ResNet V2),video diagnosis,and quality judgment modules.This system was developed using pCLE images and videos and evaluated through image and prospective video recognition tests.Patients between June 2020 and January 2023 were prospectively enrolled.Expert and nonexpert endoscopists and the iCLE independently performed diagnoses for pCLE videos,with histopathology as the gold standard.Thereafter,the non-expert endoscopists performed a second assessment with iCLE assistance.RESULTS A total of 25056 images from 2803 patients were selected for iCLE training and validation.Another 2442 images from 226 patients were used for testing.iCLE achieved a high accuracy of 98.3%,sensitivity of 95.3%and specificity of 98.8%for diagnosing ESN images.A total of 2581 patients underwent upper gastrointestinal pCLE examination and were prospectively screened;54 patients with suspected ESN were enrolled.Overall,187 videos from 67 lesions were assessed by iCLE,three nonexpert and three expert endoscopists.iCLE achieved a high accuracy,sensitivity and specificity of 90.9%,92.0%,and 90.2%,respectively.Compared to experts,iCLE showed significantly higher sensitivity(92.0%vs 80.4%;P<0.001)and negative predictive value(94.4%vs 87.7%;P=0.003).With iCLE assistance,nonexpert endoscopists showed significant improvements in accuracy(from 83.6%to 88.6%)and sensitivity(from 76.0%to 89.8%).CONCLUSION iCLE system demonstrated high diagnostic performance for ESN.It can assist nonexpert endoscopists in improving the diagnostic efficiency of pCLE for ESN and has the potential for reducing unnecessary biopsies.
文摘The finite element analysis and the optimum design of aluminum profile extrusion mould were investigated using the ANSYS software and its parameterized modeling method. The optimum dimensions of the mould were obtained. It is found that the stress distribution is very uneven, and the stress convergence is rather severe in the bridge of the aluminum profile extrusion mould. The optimum height of the mould is 70.527 mm, and the optimum radius of dividing holes are 70.182 mm and 80.663 mm. Increasing the height of the mould in the range of 61.282 mm to 70.422 mm can prolong its longevity, but when the height is over 70.422 mm, its longevity reduces.
基金Supported by the National Basic Research Program of China(2011CB707904)the Natural Science Foundation of China(61472289)Hubei Province Natural Science Foundation of China(2015CFB254)
文摘Segmenting the lesion regions from the ultrasound （US） images is an important step in the intra-operative planning of some computer-aided therapies. High-Intensity Focused Ultrasound （HIFU）, as a popular computer-aided therapy, has been widely used in the treatment of uterine fibroids. However, such segmentation in HIFU remains challenge for two reasons： （1） the blurry or missing boundaries of lesion regions in the HIFU images and （2） the deformation of uterine fibroids caused by the patient＇s breathing or an external force during the US imaging process, which can lead to complex shapes of lesion regions. These factors have prevented classical active contour-based segmentation methods from yielding desired results for uterine fibroids in US images. In this paper, a novel active contour-based segmentation method is proposed, which utilizes the correlation information of target shapes among a sequence of images as prior knowledge to aid the existing active contour method. This prior knowledge can be interpreted as a unsupervised clustering of shapes prior modeling. Meanwhile, it is also proved that the shapes correlation has the low-rank property in a linear space, and the theory of matrix recovery is used as an effective tool to impose the proposed prior on an existing active contour model. Finally, an accurate method is developed to solve the proposed model by using the Augmented Lagrange Multiplier （ALM）. Experimental results from both synthetic and clinical uterine fibroids US image sequences demonstrate that the proposed method can consistently improve the performance of active contour models and increase the robustness against missing or misleading boundaries, and can greatly improve the efficiency of HIFU therapy.
文摘In the heart of Addis Ababa,where tradition meets modern ambition,a gleaming structure of steel and glass is quietly reshaping Africa’s future.The new Africa Centres for Disease Control and Prevention(Africa CDC)Headquarters is more than just a building-it’s a bold statement of partnership,progress,and a shared commitment to advancing public health across the continent.
文摘The aim of this study was to prospectively assess the accuracy gain of Bayesian analysis-based computeraided diagnosis(CAD) vs human judgment alone in characterizing solitary pulmonary nodules(SPNs) at computed tomography(CT). The study included 100 randomly selected SPNs with a definitive diagnosis. Nodule features at first and follow-up CT scans as well as clinical data were evaluated individually on a 1 to 5 points risk chart by 7 radiologists, firstly blinded then aware of Bayesian Inference Malignancy Calculator(BIMC) model predictions. Raters' predictions were evaluated by means of receiver operating characteristic(ROC) curve analysis and decision analysis. Overall ROC area under the curve was 0.758 before and 0.803 after the disclosure of CAD predictions(P = 0.003). A net gain in diagnostic accuracy was found in 6 out of 7 readers. Mean risk class of benign nodules dropped from 2.48 to 2.29, while mean risk class of malignancies rose from 3.66 to 3.92. Awareness of CAD predictions also determined a significant drop on mean indeterminate SPNs(15 vs 23.86 SPNs) and raised the mean number of correct and confident diagnoses(mean 39.57 vs 25.71 SPNs). This study provides evidence supporting the integration of the Bayesian analysis-based BIMC model in SPN characterization.
基金supported by grants from the National Natural Science Foundation of China (No. 81141022)the General Hospital of Chinese Liberation Army (No. 10KMM09)
文摘Summary： Preoperative planning of corrective osteotomy with traditional radiography has limitations in regards to determining the ideal osteotomy location and orientation in three-dimensional femoral de- formities. Though a successful operation can be planned preoperatively, intraoperative contingencies might adhere to the procedural plan in the performance of operation. To efficiently perform a planned procedure, proposed is a design to implement three-dimensional reconstruction photography, based on computer-tomography （CT） scan. A custom-made guide was designed to navigate the osteotomy as planned, and additionally, a personalized intramedullary nail was used for fixation after osteotomy. Three-dimensional （3D） photography of deformed femur was established based on the CT dataset and transferred into 3D photography processing software for further planning. Osteotomy planes were de- signed and adjusted at deformity sites to correct the 3D deformities. The methodology of a custom-made osteotomy guide was introduced in femoral corrective osteotomy, for the first time, to navigate the op- eration as planned. After the virtual osteotomy and reduction of bone segments, the parameters of a custom-made intramedullary nail were measured for manufacturing. Findings Virtual operation in computer shows complete correction of the 3D deformity. The osteotomy guide, obtained by rapid-prototyping techniques, navigates mimicking surgery on rapid-prototyping model of the involved femur as planned. Internal fixation was achieved using the custom-made intramedullary nail. Interpreta- tion three-dimensional visualization introduces an advantage in preoperative planning for corrective os- teotomy of 3D femoral deformity, and the custom-made osteotomy guide is crucial to realize such a de- liberate plan during the actual procedures. The internal fixator, such as an intramedullary nail, can be modified or personalized for fixation in unique cases.
文摘In the present paper, the effect of BK- 91A Computer-aided Anesthesia and Treatment Appara-tus for 61 cases of craniotomy was observed. All the patients were intracranial tumors or hemotornaand randomly divided into group A (31 cases) and B (30 cases). The basic state of disease, the ap-plied medicines before and after operations and the acupoint selection rnethod in the two groups werethe same basically. ln group A BK - 91A was used and all the plate electrodes were sticked to the acu-points and an enduable stimulation strength was given. In group B, WQ- 10 Type Multi-purposeElectronic Acupoint Detector was used to stimulate acupoints with frequency of 120-150 cycles/min.and an enduable strength. Criteria for grading were according to the united national standards: gradeI /A (excellent), grade I/B (good) and grade Ⅱ (failed, referred to that the used anesthetics orsedatives surpassed the fixed dosages).
