Rapid development in Information Technology(IT)has allowed several novel application regions like large outdoor vehicular networks for Vehicle-to-Vehicle(V2V)transmission.Vehicular networks give a safe and more effect...Rapid development in Information Technology(IT)has allowed several novel application regions like large outdoor vehicular networks for Vehicle-to-Vehicle(V2V)transmission.Vehicular networks give a safe and more effective driving experience by presenting time-sensitive and location-aware data.The communication occurs directly between V2V and Base Station(BS)units such as the Road Side Unit(RSU),named as a Vehicle to Infrastructure(V2I).However,the frequent topology alterations in VANETs generate several problems with data transmission as the vehicle velocity differs with time.Therefore,the scheme of an effectual routing protocol for reliable and stable communications is significant.Current research demonstrates that clustering is an intelligent method for effectual routing in a mobile environment.Therefore,this article presents a Falcon Optimization Algorithm-based Energy Efficient Communication Protocol for Cluster-based Routing(FOA-EECPCR)technique in VANETS.The FOA-EECPCR technique intends to group the vehicles and determine the shortest route in the VANET.To accomplish this,the FOA-EECPCR technique initially clusters the vehicles using FOA with fitness functions comprising energy,distance,and trust level.For the routing process,the Sparrow Search Algorithm(SSA)is derived with a fitness function that encompasses two variables,namely,energy and distance.A series of experiments have been conducted to exhibit the enhanced performance of the FOA-EECPCR method.The experimental outcomes demonstrate the enhanced performance of the FOA-EECPCR approach over other current methods.展开更多
Since 2016,the National Institute of Standards and Technology(NIST)has been performing a competition to standardize post-quantum cryptography(PQC).Although Falcon has been selected in the competition as one of the sta...Since 2016,the National Institute of Standards and Technology(NIST)has been performing a competition to standardize post-quantum cryptography(PQC).Although Falcon has been selected in the competition as one of the standard PQC algorithms because of its advantages in short key and signature sizes,its performance overhead is larger than that of other lattice-based cryptosystems.This study presents multiple methodologies to accelerate the performance of Falcon using graphics processing units(GPUs)for server-side use.Direct GPU porting significantly degrades performance because the Falcon reference codes require recursive functions in its sampling process.Thus,an iterative sampling approach for efficient parallel processing is presented.In this study,the Falcon software applied a fine-grained execution model and reported the optimal number of threads in a thread block.Moreover,the polynomial multiplication performance was optimized by parallelizing the number-theoretic transform(NTT)-based polynomial multiplication and the fast Fourier transform(FFT)-based multiplication.Furthermore,dummy-based parallel execution methods have been introduced to handle the thread divergence effects.The presented Falcon software on RTX 3090 NVIDA GPU based on the proposed methods with Falcon-512 and Falcon-1024 parameters outperform at 35.14,28.84,and 34.64 times and 33.31,27.45,and 34.40 times,respectively,better than the central processing unit(CPU)reference implementation using Advanced Vector Extensions 2(AVX2)instructions on a Ryzen 95900X running at 3.7 GHz in key generation,signing,and verification,respectively.Therefore,the proposed Falcon software can be used in servers managing multiple concurrent clients for efficient certificate verification and be used as an outsourced key generation and signature generation server for Signature as a Service(SaS).展开更多
Reliable sales forecasts are important to the garment industry. In recent years, the global climate is warming, the weather changes frequently, and clothing sales are affected by weather fluctuations. The purpose of t...Reliable sales forecasts are important to the garment industry. In recent years, the global climate is warming, the weather changes frequently, and clothing sales are affected by weather fluctuations. The purpose of this study is to investigate whether weather data can improve the accuracy of product sales and to establish a corresponding clothing sales forecasting model. This model uses the basic attributes of clothing product data, historical sales data, and weather data. It is based on a random forest, XGB, and GBDT adopting a stacking strategy. We found that weather information is not useful for basic clothing sales forecasts, but it did improve the accuracy of seasonal clothing sales forecasts. The MSE of the dresses, down jackets, and shirts are reduced by 86.03%, 80.14%, and 41.49% on average. In addition, we found that the stacking strategy model outperformed the voting strategy model, with an average MSE reduction of 49.28%. Clothing managers can use this model to forecast their sales when they make sales plans based on weather information.展开更多
The climate issue has become an environmental concern for all sectors of the world and the low-carbon economy has thus become a new economic development model to combat climate change.With the development of low-carbo...The climate issue has become an environmental concern for all sectors of the world and the low-carbon economy has thus become a new economic development model to combat climate change.With the development of low-carbon economy era,the textile and clothing industry plays an important role in stabilizing the development of low-carbon economy and society,and China has put forward the development requirements of low-carbon transformation for the textile and clothing industry,and also it has an important strategic value to promote the high-quality development of low-carbon economy and society,and the construction of brands’ core competitiveness is an inevitable choice for clothing brands in the face of the new form of international competition.As a result,the evaluation indicator of clothing brands’ core competitiveness in the low-carbon economy is used to measure the core competitiveness of clothing brands.Based on the corresponding verification results obtained by analytic hierarchy process(AHP) analysis,it can guide the low-carbon development of the clothing industry,thus proposing a more reasonable way to build the core competitiveness of clothing brands.It can promote the low-carbon transformation and upgrading of the clothing industry,effectively increase the market share of clothing brands,and promote the high-quality development of clothing brands.展开更多
The 2023 National Textile and Clothing Standards Innovation Conference convened in Tai’an city,Shandong province on August 18-20,where national experts in this field gathered to discuss the innovative development of ...The 2023 National Textile and Clothing Standards Innovation Conference convened in Tai’an city,Shandong province on August 18-20,where national experts in this field gathered to discuss the innovative development of the standards system for China’s textile and clothing.展开更多
Due to the lack of long-range association and spatial location information,fine details and accurate boundaries of complex clothing images cannot always be obtained by using the existing deep learning-based methods.Th...Due to the lack of long-range association and spatial location information,fine details and accurate boundaries of complex clothing images cannot always be obtained by using the existing deep learning-based methods.This paper presents a convolutional structure with multi-scale fusion to optimize the step of clothing feature extraction and a self-attention module to capture long-range association information.The structure enables the self-attention mechanism to directly participate in the process of information exchange through the down-scaling projection operation of the multi-scale framework.In addition,the improved self-attention module introduces the extraction of 2-dimensional relative position information to make up for its lack of ability to extract spatial position features from clothing images.The experimental results based on the colorful fashion parsing dataset(CFPD)show that the proposed network structure achieves 53.68%mean intersection over union(mIoU)and has better performance on the clothing parsing task.展开更多
In the novels, the clothing worn by the characters are symbols made and used by the authors to express the characters’ personality and deepen the theme, and grasping their symbolism helps to enter into the interior o...In the novels, the clothing worn by the characters are symbols made and used by the authors to express the characters’ personality and deepen the theme, and grasping their symbolism helps to enter into the interior of the novels and understand their essence. This paper will analyze and interpret the clothing of typical female characters in The Scarlet Letter, Daisy Miller and Dry September from the perspective of symbolism, so as to illustrate how the symbolism of clothing, as a kind of symbols, shapes the image of the main characters.展开更多
The study investigated business clothing for females that are suitable for effective workplace job performance in Nigeria.It identified fabric characteristics of females’business clothing already used;fabric characte...The study investigated business clothing for females that are suitable for effective workplace job performance in Nigeria.It identified fabric characteristics of females’business clothing already used;fabric characteristics needed and deign style preference suitable for females’business clothing for workplace job performance.The study was guided by four research questions and two hypotheses.Population was 4,806 female civil servants in Delta state,Nigeria.Multi-stage sampling technique was utilized to select 136 females.Structured questionnaire was employed to collect data and descriptive statistics and t-test were used for data analysis.Finding showed that cotton,nylon,lacra fabrics,light and medium fabric weight,blue,black,gray,colors,cool texture,rough,smooth surface plain,stripe and flowered design among others were fabric characteristics of business clothing are being used in workplace.But prefer and need cotton,nylon,lacra,light weight,black,blue,gray,brown colours,cool,plain,surface fabrics.Net,organza,heavy weight,white,yellow,toweling fabrics were not preferred.Findings further showed that straight gown,waist flared and gathered gowns,skirt,blouse and suit/jacket,straight,shirt,long sleeves,garment with or without collar,below knee length,peter and convertible collars,among others were highly preferred design styles of clothes.In conclusion,office workers determine what they wear to perform workplace daily jobs promotes self-confidence,comfort,professional worth and productivity.It was recommended that female employees should not downplay appropriate work attires for comfort and organizational productivity to satisfy fashion trends.展开更多
Objective:The consequences of falls in the elderly are severe,ranging from skin abrasion to hip fracture,which is very easy to cause death.Using advanced technology to develop anti-fall clothing that meets the needs o...Objective:The consequences of falls in the elderly are severe,ranging from skin abrasion to hip fracture,which is very easy to cause death.Using advanced technology to develop anti-fall clothing that meets the needs of the elderly can play a significant role in protecting the elderly.By reviewing and analyzing the existing literature on the importance of fall protection clothing in reducing falls and protecting the body of the elderly,it is hoped to explore further research that needs improvement.Methods:Guided by the preferred reporting items for systematic reviews and meta-analyses,eight related studies were identified through Web of Science,Scopus and Chinese National Knowledge Infrastructure.The research objects,approaches,material and equipment,protection principle,and survey results are extracted.Results:Two articles verified the fall detection algorithm adopted in the research through experiments,which significantly improved fall detection accuracy.Six papers found that selecting appropriate cushioning materials can effectively reduce the consequences of falls of the elderly through experimental comparative analysis.Finally,three attributes for significant design value are drawn:(1)size and fit;(2)cushioning materials;(3)wearable sensing elements.展开更多
文摘Rapid development in Information Technology(IT)has allowed several novel application regions like large outdoor vehicular networks for Vehicle-to-Vehicle(V2V)transmission.Vehicular networks give a safe and more effective driving experience by presenting time-sensitive and location-aware data.The communication occurs directly between V2V and Base Station(BS)units such as the Road Side Unit(RSU),named as a Vehicle to Infrastructure(V2I).However,the frequent topology alterations in VANETs generate several problems with data transmission as the vehicle velocity differs with time.Therefore,the scheme of an effectual routing protocol for reliable and stable communications is significant.Current research demonstrates that clustering is an intelligent method for effectual routing in a mobile environment.Therefore,this article presents a Falcon Optimization Algorithm-based Energy Efficient Communication Protocol for Cluster-based Routing(FOA-EECPCR)technique in VANETS.The FOA-EECPCR technique intends to group the vehicles and determine the shortest route in the VANET.To accomplish this,the FOA-EECPCR technique initially clusters the vehicles using FOA with fitness functions comprising energy,distance,and trust level.For the routing process,the Sparrow Search Algorithm(SSA)is derived with a fitness function that encompasses two variables,namely,energy and distance.A series of experiments have been conducted to exhibit the enhanced performance of the FOA-EECPCR method.The experimental outcomes demonstrate the enhanced performance of the FOA-EECPCR approach over other current methods.
基金supported by the National Research Foundation of Korea (NRF)grant funded by the Korea government (MSIT) (No.2022R1C1C1013368)This was partly supported in part by Korea University Grant and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP)Grant through the Korean Government[Ministry of Science and ICT (MSIT)]Development of Physical Channel Vulnerability-Based Attacks and its Countermeasures for Reliable On-Device Deep Learning Accelerator Design,under Grant 2021-0-00903.
文摘Since 2016,the National Institute of Standards and Technology(NIST)has been performing a competition to standardize post-quantum cryptography(PQC).Although Falcon has been selected in the competition as one of the standard PQC algorithms because of its advantages in short key and signature sizes,its performance overhead is larger than that of other lattice-based cryptosystems.This study presents multiple methodologies to accelerate the performance of Falcon using graphics processing units(GPUs)for server-side use.Direct GPU porting significantly degrades performance because the Falcon reference codes require recursive functions in its sampling process.Thus,an iterative sampling approach for efficient parallel processing is presented.In this study,the Falcon software applied a fine-grained execution model and reported the optimal number of threads in a thread block.Moreover,the polynomial multiplication performance was optimized by parallelizing the number-theoretic transform(NTT)-based polynomial multiplication and the fast Fourier transform(FFT)-based multiplication.Furthermore,dummy-based parallel execution methods have been introduced to handle the thread divergence effects.The presented Falcon software on RTX 3090 NVIDA GPU based on the proposed methods with Falcon-512 and Falcon-1024 parameters outperform at 35.14,28.84,and 34.64 times and 33.31,27.45,and 34.40 times,respectively,better than the central processing unit(CPU)reference implementation using Advanced Vector Extensions 2(AVX2)instructions on a Ryzen 95900X running at 3.7 GHz in key generation,signing,and verification,respectively.Therefore,the proposed Falcon software can be used in servers managing multiple concurrent clients for efficient certificate verification and be used as an outsourced key generation and signature generation server for Signature as a Service(SaS).
文摘Reliable sales forecasts are important to the garment industry. In recent years, the global climate is warming, the weather changes frequently, and clothing sales are affected by weather fluctuations. The purpose of this study is to investigate whether weather data can improve the accuracy of product sales and to establish a corresponding clothing sales forecasting model. This model uses the basic attributes of clothing product data, historical sales data, and weather data. It is based on a random forest, XGB, and GBDT adopting a stacking strategy. We found that weather information is not useful for basic clothing sales forecasts, but it did improve the accuracy of seasonal clothing sales forecasts. The MSE of the dresses, down jackets, and shirts are reduced by 86.03%, 80.14%, and 41.49% on average. In addition, we found that the stacking strategy model outperformed the voting strategy model, with an average MSE reduction of 49.28%. Clothing managers can use this model to forecast their sales when they make sales plans based on weather information.
文摘The climate issue has become an environmental concern for all sectors of the world and the low-carbon economy has thus become a new economic development model to combat climate change.With the development of low-carbon economy era,the textile and clothing industry plays an important role in stabilizing the development of low-carbon economy and society,and China has put forward the development requirements of low-carbon transformation for the textile and clothing industry,and also it has an important strategic value to promote the high-quality development of low-carbon economy and society,and the construction of brands’ core competitiveness is an inevitable choice for clothing brands in the face of the new form of international competition.As a result,the evaluation indicator of clothing brands’ core competitiveness in the low-carbon economy is used to measure the core competitiveness of clothing brands.Based on the corresponding verification results obtained by analytic hierarchy process(AHP) analysis,it can guide the low-carbon development of the clothing industry,thus proposing a more reasonable way to build the core competitiveness of clothing brands.It can promote the low-carbon transformation and upgrading of the clothing industry,effectively increase the market share of clothing brands,and promote the high-quality development of clothing brands.
文摘The 2023 National Textile and Clothing Standards Innovation Conference convened in Tai’an city,Shandong province on August 18-20,where national experts in this field gathered to discuss the innovative development of the standards system for China’s textile and clothing.
文摘Due to the lack of long-range association and spatial location information,fine details and accurate boundaries of complex clothing images cannot always be obtained by using the existing deep learning-based methods.This paper presents a convolutional structure with multi-scale fusion to optimize the step of clothing feature extraction and a self-attention module to capture long-range association information.The structure enables the self-attention mechanism to directly participate in the process of information exchange through the down-scaling projection operation of the multi-scale framework.In addition,the improved self-attention module introduces the extraction of 2-dimensional relative position information to make up for its lack of ability to extract spatial position features from clothing images.The experimental results based on the colorful fashion parsing dataset(CFPD)show that the proposed network structure achieves 53.68%mean intersection over union(mIoU)and has better performance on the clothing parsing task.
文摘In the novels, the clothing worn by the characters are symbols made and used by the authors to express the characters’ personality and deepen the theme, and grasping their symbolism helps to enter into the interior of the novels and understand their essence. This paper will analyze and interpret the clothing of typical female characters in The Scarlet Letter, Daisy Miller and Dry September from the perspective of symbolism, so as to illustrate how the symbolism of clothing, as a kind of symbols, shapes the image of the main characters.
文摘The study investigated business clothing for females that are suitable for effective workplace job performance in Nigeria.It identified fabric characteristics of females’business clothing already used;fabric characteristics needed and deign style preference suitable for females’business clothing for workplace job performance.The study was guided by four research questions and two hypotheses.Population was 4,806 female civil servants in Delta state,Nigeria.Multi-stage sampling technique was utilized to select 136 females.Structured questionnaire was employed to collect data and descriptive statistics and t-test were used for data analysis.Finding showed that cotton,nylon,lacra fabrics,light and medium fabric weight,blue,black,gray,colors,cool texture,rough,smooth surface plain,stripe and flowered design among others were fabric characteristics of business clothing are being used in workplace.But prefer and need cotton,nylon,lacra,light weight,black,blue,gray,brown colours,cool,plain,surface fabrics.Net,organza,heavy weight,white,yellow,toweling fabrics were not preferred.Findings further showed that straight gown,waist flared and gathered gowns,skirt,blouse and suit/jacket,straight,shirt,long sleeves,garment with or without collar,below knee length,peter and convertible collars,among others were highly preferred design styles of clothes.In conclusion,office workers determine what they wear to perform workplace daily jobs promotes self-confidence,comfort,professional worth and productivity.It was recommended that female employees should not downplay appropriate work attires for comfort and organizational productivity to satisfy fashion trends.
文摘Objective:The consequences of falls in the elderly are severe,ranging from skin abrasion to hip fracture,which is very easy to cause death.Using advanced technology to develop anti-fall clothing that meets the needs of the elderly can play a significant role in protecting the elderly.By reviewing and analyzing the existing literature on the importance of fall protection clothing in reducing falls and protecting the body of the elderly,it is hoped to explore further research that needs improvement.Methods:Guided by the preferred reporting items for systematic reviews and meta-analyses,eight related studies were identified through Web of Science,Scopus and Chinese National Knowledge Infrastructure.The research objects,approaches,material and equipment,protection principle,and survey results are extracted.Results:Two articles verified the fall detection algorithm adopted in the research through experiments,which significantly improved fall detection accuracy.Six papers found that selecting appropriate cushioning materials can effectively reduce the consequences of falls of the elderly through experimental comparative analysis.Finally,three attributes for significant design value are drawn:(1)size and fit;(2)cushioning materials;(3)wearable sensing elements.
