Objective To develop and evaluate an automated system for digitizing audiograms,classifying hearing loss levels,and comparing their performance with traditional methods and otolaryngologists'interpretations.Design...Objective To develop and evaluate an automated system for digitizing audiograms,classifying hearing loss levels,and comparing their performance with traditional methods and otolaryngologists'interpretations.Designed and Methods We conducted a retrospective diagnostic study using 1,959 audiogram images from patients aged 7 years and older at the Faculty of Medicine,Vajira Hospital,Navamindradhiraj University.We employed an object detection approach to digitize audiograms and developed multiple machine learning models to classify six hearing loss levels.The dataset was split into 70%training(1,407 images)and 30%testing(352 images)sets.We compared our model's performance with classifications based on manually extracted audiogram values and otolaryngologists'interpretations.Result Our object detection-based model achieved an F1-score of 94.72%in classifying hearing loss levels,comparable to the 96.43%F1-score obtained using manually extracted values.The Light Gradient Boosting Machine(LGBM)model is used as the classifier for the manually extracted data,which achieved top performance with 94.72%accuracy,94.72%f1-score,94.72 recall,and 94.72 precision.In object detection based model,The Random Forest Classifier(RFC)model showed the highest 96.43%accuracy in predicting hearing loss level,with a F1-score of 96.43%,recall of 96.43%,and precision of 96.45%.Conclusion Our proposed automated approach for audiogram digitization and hearing loss classification performs comparably to traditional methods and otolaryngologists'interpretations.This system can potentially assist otolaryngologists in providing more timely and effective treatment by quickly and accurately classifying hearing loss.展开更多
In software testing, many troublesome faults are caused by interaction of input parameters. If automatic efficient test-case generator（AETG）, in parameter order（IPO） or orthogonal Latin square is used in the softw...In software testing, many troublesome faults are caused by interaction of input parameters. If automatic efficient test-case generator（AETG）, in parameter order（IPO） or orthogonal Latin square is used in the software system under test, the whole test set cannot be run completely due to time or budget constraints. In this paper, according to the number of parameter k and their values n, a software system under test can be divided into four types. As for k-2 system, an algorithm was proposed to construct test rases, based on the longitudinal binary string set and method of controlling variables. As for k-n valued parameters whose n was a prime or power of prime, a method of covering array of test sets was designed to construct test sets by taking orthogonal array and derive arrays from orthogonal array and two useful conditions. As for k parameters whose n-value was not all equal, an experience algorithm was presented in this paper. The experimental results show that the size of test sets from the proposed methods is better than that from AETG, IPO, and orthogonal Latin square.展开更多
Presents the fin-propeller test set-up to solve the problem of roll stabilization with ships in full speed range, withwhich, tests were run in water rank for acquisition of data, and concludes from data acquired that ...Presents the fin-propeller test set-up to solve the problem of roll stabilization with ships in full speed range, withwhich, tests were run in water rank for acquisition of data, and concludes from data acquired that the fin-propeller test set-up produces more lift than simple fin, and provides lateral thrust as well, and it is therefore an effective roll stabilization devicefor ships in full speed range.展开更多
In this paper the structure-based test generation algorithm has been studied for the problem that test patterns are obtained by determined finite faults set in the past. This Algorithm can find out all test patterns o...In this paper the structure-based test generation algorithm has been studied for the problem that test patterns are obtained by determined finite faults set in the past. This Algorithm can find out all test patterns one tithe, so faults detection is very convenient. By simulation, the smallest test patterns set can be obtained and faults coverage rate is 100%.展开更多
Reducing casualties and property losses through effective evacuation route planning has been a key focus for researchers in recent years.As part of this effort,an enhanced sparrow search algorithm(MSSA)was proposed.Fi...Reducing casualties and property losses through effective evacuation route planning has been a key focus for researchers in recent years.As part of this effort,an enhanced sparrow search algorithm(MSSA)was proposed.Firstly,the Golden Sine algorithm and a nonlinear weight factor optimization strategy were added in the discoverer position update stage of the SSA algorithm.Secondly,the Cauchy-Gaussian perturbation was applied to the optimal position of the SSA algorithm to improve its ability to jump out of local optima.Finally,the local search mechanism based on the mountain climbing method was incorporated into the local search stage of the SSA algorithm,improving its local search ability.To evaluate the effectiveness of the proposed algorithm,the Whale Algorithm,Gray Wolf Algorithm,Improved Gray Wolf Algorithm,Sparrow Search Algorithm,and MSSA Algorithm were employed to solve various test functions.The accuracy and convergence speed of each algorithm were then compared and analyzed.The results indicate that the MSSA algorithm has superior solving ability and stability compared to other algorithms.To further validate the enhanced algorithm’s capabilities for path planning,evacuation experiments were conducted using different maps featuring various obstacle types.Additionally,a multi-exit evacuation scenario was constructed according to the actual building environment of a teaching building.Both the sparrow search algorithm and MSSA algorithm were employed in the simulation experiment for multiexit evacuation path planning.The findings demonstrate that the MSSA algorithm outperforms the comparison algorithm,showcasing its greater advantages and higher application potential.展开更多
A new approach to deciding quasi-reducibility is proposed by intro- ducing witnesses. Furthermore, an algorithm for constructing witnessed test sets of lelh-linear rewrite systems h. been designed. Compared with the s...A new approach to deciding quasi-reducibility is proposed by intro- ducing witnesses. Furthermore, an algorithm for constructing witnessed test sets of lelh-linear rewrite systems h. been designed. Compared with the standard test set approach presented by Kapur, Narendran and Zhang, the method proposed generates test sets of smaller size and therefore has more efficient applications .展开更多
In this paper,we research general Defective Cion Problem under the model S,i.e,the number d of Defective cions is not fixed. For d=O,1,or 2. we get some good results.
In this investigation,we have shown that the combination of deep learning,including natural language processing,and conformal prediction results in highly predictive and efficient temporal test set sentiment estimates...In this investigation,we have shown that the combination of deep learning,including natural language processing,and conformal prediction results in highly predictive and efficient temporal test set sentiment estimates for 12 categories of Amazon product reviews using either in-category predictions,i.e.the model and the test set are from the same review category or cross-category predictions,i.e.using a model of another review category for predicting the test set.The similar results from in-and cross-category predictions indicate high degree of generalizability across product review categories.The investigation also shows that the combination of deep learning and conformal prediction gracefully handles class imbalances without explicit class balancing measures.展开更多
A three-dimensional pharmacophore model was developed from a series of inhibitors of Aurora A kinase to discover new potent anti-cancer agents using the HypoGen module in the Catalyst software. The pharmacophore model...A three-dimensional pharmacophore model was developed from a series of inhibitors of Aurora A kinase to discover new potent anti-cancer agents using the HypoGen module in the Catalyst software. The pharmacophore model was developed based on the structure of 20 currently available inhibitors, which were carefully selected from the literature. The best hypothesis （Hypo 1） was defined by four features： one hydrogen-bond donor and three hy- drophobic points, with the best correlation coefficient of 0.909, the lowest rms deviation of 1.563, and the highest cost difference of 99.075. The Hypo 1 was then validated by a test set consisting of 24 compounds and by a cross-validation of 95% confidence level through randomizing the data using the CatScramble program, which suggested that a predictive pharmacophore model had been successfully obtained.展开更多
The functional-level test has been proposed as an alternative to reduce the complexity of test when VLSI gets larger and more complicated. It has been successful for circuits such as memories, PLAs and microprocessors...The functional-level test has been proposed as an alternative to reduce the complexity of test when VLSI gets larger and more complicated. It has been successful for circuits such as memories, PLAs and microprocessors. However, the functional-level test for general functional models has seldom been studied. This paper presents an object-oriented VLSI model and a functional-level fault simulation methodology for general functional model. Based on the proposed VLSI model, FFS (Functional-level Fault Simulator) with friendly visual interface has been implemented on Microsoft Windows platform by use of C++. It is an integral part of FMVS (Functional test Modeling and Verification System)-an extended subsystem of TeDS (Test Development System). The goal of FFS is to determine the fault coverage, generate fault dictionary and compact original test set at the function-level. In order to be efficient, FFS uses the concurrent and parallel mechanisms by taking advantage of the object-oriented VLSI model. The object-oriented VLSI model based fault simulation has been validated in the functional-level test by simulation results and the satisfying performance of FFS.展开更多
文摘Objective To develop and evaluate an automated system for digitizing audiograms,classifying hearing loss levels,and comparing their performance with traditional methods and otolaryngologists'interpretations.Designed and Methods We conducted a retrospective diagnostic study using 1,959 audiogram images from patients aged 7 years and older at the Faculty of Medicine,Vajira Hospital,Navamindradhiraj University.We employed an object detection approach to digitize audiograms and developed multiple machine learning models to classify six hearing loss levels.The dataset was split into 70%training(1,407 images)and 30%testing(352 images)sets.We compared our model's performance with classifications based on manually extracted audiogram values and otolaryngologists'interpretations.Result Our object detection-based model achieved an F1-score of 94.72%in classifying hearing loss levels,comparable to the 96.43%F1-score obtained using manually extracted values.The Light Gradient Boosting Machine(LGBM)model is used as the classifier for the manually extracted data,which achieved top performance with 94.72%accuracy,94.72%f1-score,94.72 recall,and 94.72 precision.In object detection based model,The Random Forest Classifier(RFC)model showed the highest 96.43%accuracy in predicting hearing loss level,with a F1-score of 96.43%,recall of 96.43%,and precision of 96.45%.Conclusion Our proposed automated approach for audiogram digitization and hearing loss classification performs comparably to traditional methods and otolaryngologists'interpretations.This system can potentially assist otolaryngologists in providing more timely and effective treatment by quickly and accurately classifying hearing loss.
基金National Natural Science Foundation of China ( No. 61073163)Project of Science and Technology Commission of Shanghai Municipality,China ( No. 09220503000)
文摘In software testing, many troublesome faults are caused by interaction of input parameters. If automatic efficient test-case generator（AETG）, in parameter order（IPO） or orthogonal Latin square is used in the software system under test, the whole test set cannot be run completely due to time or budget constraints. In this paper, according to the number of parameter k and their values n, a software system under test can be divided into four types. As for k-2 system, an algorithm was proposed to construct test rases, based on the longitudinal binary string set and method of controlling variables. As for k-n valued parameters whose n was a prime or power of prime, a method of covering array of test sets was designed to construct test sets by taking orthogonal array and derive arrays from orthogonal array and two useful conditions. As for k parameters whose n-value was not all equal, an experience algorithm was presented in this paper. The experimental results show that the size of test sets from the proposed methods is better than that from AETG, IPO, and orthogonal Latin square.
文摘Presents the fin-propeller test set-up to solve the problem of roll stabilization with ships in full speed range, withwhich, tests were run in water rank for acquisition of data, and concludes from data acquired that the fin-propeller test set-up produces more lift than simple fin, and provides lateral thrust as well, and it is therefore an effective roll stabilization devicefor ships in full speed range.
文摘In this paper the structure-based test generation algorithm has been studied for the problem that test patterns are obtained by determined finite faults set in the past. This Algorithm can find out all test patterns one tithe, so faults detection is very convenient. By simulation, the smallest test patterns set can be obtained and faults coverage rate is 100%.
基金supported by National Natural Science Foundation of China(71904006)Henan Province Key R&D Special Project(231111322200)+1 种基金the Science and Technology Research Plan of Henan Province(232102320043,232102320232,232102320046)the Natural Science Foundation of Henan(232300420317,232300420314).
文摘Reducing casualties and property losses through effective evacuation route planning has been a key focus for researchers in recent years.As part of this effort,an enhanced sparrow search algorithm(MSSA)was proposed.Firstly,the Golden Sine algorithm and a nonlinear weight factor optimization strategy were added in the discoverer position update stage of the SSA algorithm.Secondly,the Cauchy-Gaussian perturbation was applied to the optimal position of the SSA algorithm to improve its ability to jump out of local optima.Finally,the local search mechanism based on the mountain climbing method was incorporated into the local search stage of the SSA algorithm,improving its local search ability.To evaluate the effectiveness of the proposed algorithm,the Whale Algorithm,Gray Wolf Algorithm,Improved Gray Wolf Algorithm,Sparrow Search Algorithm,and MSSA Algorithm were employed to solve various test functions.The accuracy and convergence speed of each algorithm were then compared and analyzed.The results indicate that the MSSA algorithm has superior solving ability and stability compared to other algorithms.To further validate the enhanced algorithm’s capabilities for path planning,evacuation experiments were conducted using different maps featuring various obstacle types.Additionally,a multi-exit evacuation scenario was constructed according to the actual building environment of a teaching building.Both the sparrow search algorithm and MSSA algorithm were employed in the simulation experiment for multiexit evacuation path planning.The findings demonstrate that the MSSA algorithm outperforms the comparison algorithm,showcasing its greater advantages and higher application potential.
文摘A new approach to deciding quasi-reducibility is proposed by intro- ducing witnesses. Furthermore, an algorithm for constructing witnessed test sets of lelh-linear rewrite systems h. been designed. Compared with the standard test set approach presented by Kapur, Narendran and Zhang, the method proposed generates test sets of smaller size and therefore has more efficient applications .
文摘In this paper,we research general Defective Cion Problem under the model S,i.e,the number d of Defective cions is not fixed. For d=O,1,or 2. we get some good results.
文摘In this investigation,we have shown that the combination of deep learning,including natural language processing,and conformal prediction results in highly predictive and efficient temporal test set sentiment estimates for 12 categories of Amazon product reviews using either in-category predictions,i.e.the model and the test set are from the same review category or cross-category predictions,i.e.using a model of another review category for predicting the test set.The similar results from in-and cross-category predictions indicate high degree of generalizability across product review categories.The investigation also shows that the combination of deep learning and conformal prediction gracefully handles class imbalances without explicit class balancing measures.
文摘A three-dimensional pharmacophore model was developed from a series of inhibitors of Aurora A kinase to discover new potent anti-cancer agents using the HypoGen module in the Catalyst software. The pharmacophore model was developed based on the structure of 20 currently available inhibitors, which were carefully selected from the literature. The best hypothesis （Hypo 1） was defined by four features： one hydrogen-bond donor and three hy- drophobic points, with the best correlation coefficient of 0.909, the lowest rms deviation of 1.563, and the highest cost difference of 99.075. The Hypo 1 was then validated by a test set consisting of 24 compounds and by a cross-validation of 95% confidence level through randomizing the data using the CatScramble program, which suggested that a predictive pharmacophore model had been successfully obtained.
文摘The functional-level test has been proposed as an alternative to reduce the complexity of test when VLSI gets larger and more complicated. It has been successful for circuits such as memories, PLAs and microprocessors. However, the functional-level test for general functional models has seldom been studied. This paper presents an object-oriented VLSI model and a functional-level fault simulation methodology for general functional model. Based on the proposed VLSI model, FFS (Functional-level Fault Simulator) with friendly visual interface has been implemented on Microsoft Windows platform by use of C++. It is an integral part of FMVS (Functional test Modeling and Verification System)-an extended subsystem of TeDS (Test Development System). The goal of FFS is to determine the fault coverage, generate fault dictionary and compact original test set at the function-level. In order to be efficient, FFS uses the concurrent and parallel mechanisms by taking advantage of the object-oriented VLSI model. The object-oriented VLSI model based fault simulation has been validated in the functional-level test by simulation results and the satisfying performance of FFS.
