Based on the sub-health status of Chinese white-collar citizen, this article expounds the physical condition of employees in enterprise and public institutions, and the conclusion of demand for fi tness furniture desi...Based on the sub-health status of Chinese white-collar citizen, this article expounds the physical condition of employees in enterprise and public institutions, and the conclusion of demand for fi tness furniture design was drawn. This article analyzes the design principle of the fi tness furniture, which focuses on relieving the fatigue of white-collars and rethinks about the fi tness furniture design. By demonstrating the design with related researches, the furniture which can allow people to exercise during their work time and leisure time was designed as design verifi cation, a new way for the market-oriented fi tness furniture design was developed.展开更多
Skin cancer segmentation is a critical task in a clinical decision support system for skin cancer detection.The suggested enhanced cuckoo search based optimization model will be used to evaluate several metrics in the...Skin cancer segmentation is a critical task in a clinical decision support system for skin cancer detection.The suggested enhanced cuckoo search based optimization model will be used to evaluate several metrics in the skin cancer pic-ture segmentation process.Because time and resources are always limited,the proposed enhanced cuckoo search optimization algorithm is one of the most effec-tive strategies for dealing with global optimization difficulties.One of the most significant requirements is to design optimal solutions to optimize their use.There is no particular technique that can answer all optimization issues.The proposed enhanced cuckoo search optimization method indicates a constructive precision for skin cancer over with all image segmentation in computerized diagnosis.The accuracy of the proposed enhanced cuckoo search based optimization for melanoma has increased with a 23%to 29%improvement than other optimization algorithm.The total sensitivity and specificity attained in the proposed system are 99.56%and 99.73%respectively.The proposed method outperforms by offering accuracy of 99.26%in comparisons to other conventional methods.The proposed enhanced optimization technique achieved 98.75%,98.96%for Dice and Jaccard coefficient.The model trained using the suggested measure outperforms those trained using the conventional method in the segmentation of skin cancer picture data.展开更多
Wireless Sensor Network(WSN)technology is the real-time applica-tion that is growing rapidly as the result of smart environments.Battery power is one of the most significant resources in WSN.For enhancing a power facto...Wireless Sensor Network(WSN)technology is the real-time applica-tion that is growing rapidly as the result of smart environments.Battery power is one of the most significant resources in WSN.For enhancing a power factor,the clustering techniques are used.During the forward of data in WSN,more power is consumed.In the existing system,it works with Load Balanced Cluster-ing Method(LBCM)and provides the lifespan of the network with scalability and reliability.In the existing system,it does not deal with end-to-end delay and deliv-ery of packets.For overcoming these issues in WSN,the proposed Genetic Algo-rithm based on Chicken Swarm Optimization(GA-CSO)with Load Balanced Clustering Method(LBCM)is used.Genetic Algorithm generates chromosomes in an arbitrary method then the chromosomes values are calculated using Fitness Function.Chicken Swarm Optimization(CSO)helps to solve the complex opti-mization problems.Also,it consists of chickens,hens,and rooster.It divides the chicken into clusters.Load Balanced Clustering Method(LBCM)maintains the energy during communication among the sensor nodes and also it balances the load in the gateways.The proposed GA-CSO with LBCM improves the life-span of the network.Moreover,it minimizes the energy consumption and also bal-ances the load over the network.The proposed method outperforms by using the following metrics such as energy efficiency,ratio of packet delivery,throughput of the network,lifetime of the sensor nodes.Therefore,the evaluation result shows the energy efficiency that has achieved 83.56%and the delivery ratio of the packet has reached 99.12%.Also,it has attained linear standard deviation and reduced the end-to-end delay as 97.32 ms.展开更多
本文以Web of Science期刊库中的1996至2022年447篇体育休闲类公园相关文献为研究对象,分析其研究脉络、学术特征、科学问题和研究趋势,从效应、人地关系两个层面讨论体育休闲类公园的规划建设等问题,为未来体育休闲类公园高质量发展提...本文以Web of Science期刊库中的1996至2022年447篇体育休闲类公园相关文献为研究对象,分析其研究脉络、学术特征、科学问题和研究趋势,从效应、人地关系两个层面讨论体育休闲类公园的规划建设等问题,为未来体育休闲类公园高质量发展提供理论借鉴与应用参考。未来对体育休闲类公园的研究需着重关注体育休闲类公园概念和分类、理论框架的建构、“定性+定量”的混合研究方法等方面,研究内容上既要发挥体育休闲类公园的“体育”主体性作用,也要丰富研究场景,建立符合时代特征的标准体系。展开更多
文摘Based on the sub-health status of Chinese white-collar citizen, this article expounds the physical condition of employees in enterprise and public institutions, and the conclusion of demand for fi tness furniture design was drawn. This article analyzes the design principle of the fi tness furniture, which focuses on relieving the fatigue of white-collars and rethinks about the fi tness furniture design. By demonstrating the design with related researches, the furniture which can allow people to exercise during their work time and leisure time was designed as design verifi cation, a new way for the market-oriented fi tness furniture design was developed.
文摘Skin cancer segmentation is a critical task in a clinical decision support system for skin cancer detection.The suggested enhanced cuckoo search based optimization model will be used to evaluate several metrics in the skin cancer pic-ture segmentation process.Because time and resources are always limited,the proposed enhanced cuckoo search optimization algorithm is one of the most effec-tive strategies for dealing with global optimization difficulties.One of the most significant requirements is to design optimal solutions to optimize their use.There is no particular technique that can answer all optimization issues.The proposed enhanced cuckoo search optimization method indicates a constructive precision for skin cancer over with all image segmentation in computerized diagnosis.The accuracy of the proposed enhanced cuckoo search based optimization for melanoma has increased with a 23%to 29%improvement than other optimization algorithm.The total sensitivity and specificity attained in the proposed system are 99.56%and 99.73%respectively.The proposed method outperforms by offering accuracy of 99.26%in comparisons to other conventional methods.The proposed enhanced optimization technique achieved 98.75%,98.96%for Dice and Jaccard coefficient.The model trained using the suggested measure outperforms those trained using the conventional method in the segmentation of skin cancer picture data.
基金supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI)funded by the Ministry of Health&Welfare,Republic of Korea(Grant Number:HI21C1831)the Soonchunhyang University Research Fund.
文摘Wireless Sensor Network(WSN)technology is the real-time applica-tion that is growing rapidly as the result of smart environments.Battery power is one of the most significant resources in WSN.For enhancing a power factor,the clustering techniques are used.During the forward of data in WSN,more power is consumed.In the existing system,it works with Load Balanced Cluster-ing Method(LBCM)and provides the lifespan of the network with scalability and reliability.In the existing system,it does not deal with end-to-end delay and deliv-ery of packets.For overcoming these issues in WSN,the proposed Genetic Algo-rithm based on Chicken Swarm Optimization(GA-CSO)with Load Balanced Clustering Method(LBCM)is used.Genetic Algorithm generates chromosomes in an arbitrary method then the chromosomes values are calculated using Fitness Function.Chicken Swarm Optimization(CSO)helps to solve the complex opti-mization problems.Also,it consists of chickens,hens,and rooster.It divides the chicken into clusters.Load Balanced Clustering Method(LBCM)maintains the energy during communication among the sensor nodes and also it balances the load in the gateways.The proposed GA-CSO with LBCM improves the life-span of the network.Moreover,it minimizes the energy consumption and also bal-ances the load over the network.The proposed method outperforms by using the following metrics such as energy efficiency,ratio of packet delivery,throughput of the network,lifetime of the sensor nodes.Therefore,the evaluation result shows the energy efficiency that has achieved 83.56%and the delivery ratio of the packet has reached 99.12%.Also,it has attained linear standard deviation and reduced the end-to-end delay as 97.32 ms.
文摘本文以Web of Science期刊库中的1996至2022年447篇体育休闲类公园相关文献为研究对象,分析其研究脉络、学术特征、科学问题和研究趋势,从效应、人地关系两个层面讨论体育休闲类公园的规划建设等问题,为未来体育休闲类公园高质量发展提供理论借鉴与应用参考。未来对体育休闲类公园的研究需着重关注体育休闲类公园概念和分类、理论框架的建构、“定性+定量”的混合研究方法等方面,研究内容上既要发挥体育休闲类公园的“体育”主体性作用,也要丰富研究场景,建立符合时代特征的标准体系。
