International Journal of Soft Computing and Engineering最新文献_第7页

Apprehension Overruled on Data Classification based on Mental Stress Vectoring 基于心理压力向量的数据分类的忧虑否决

International Journal of Soft Computing and Engineering Pub Date : 2019-09-05 DOI: 10.35940/ijsce.c3278.099319

P. Indhumathi, K. Rajeswari

引用次数: 0

Secure Text Hiding Method in Image Processing using Enhanced MSB Technique 基于增强MSB技术的图像处理中的安全文本隐藏方法

International Journal of Soft Computing and Engineering Pub Date : 2019-09-05 DOI: 10.35940/ijsce.c3283.099319

Er. Divya Talwar, Er. Dipti Bansal, E. Kaur

引用次数: 1

Significance of Artificial Intelligence and Machine Learning Techniques in Smart Cloud Computing: A Review 人工智能和机器学习技术在智能云计算中的意义综述

International Journal of Soft Computing and Engineering Pub Date : 1900-01-01 DOI: 10.35940/ijsce.c3265.099319

V. Radhamani, G. Dalin

引用次数: 0

Assessment of the Social and Economic Impact of Innovative Construction in Housing in Slum Upgrading: A Case of Mathare Valley, Nairobi 贫民窟改造中住房创新建设的社会经济影响评估——以内罗毕马萨雷河谷为例

International Journal of Soft Computing and Engineering Pub Date : 1900-01-01 DOI: 10.35940/ijsce.a3520.0911121

Edmund Muthigani, S. Diang’a, Wanyona Githae

{"title":"Assessment of the Social and Economic Impact of Innovative Construction in Housing in Slum Upgrading: A Case of Mathare Valley, Nairobi","authors":"Edmund Muthigani, S. Diang’a, Wanyona Githae","doi":"10.35940/ijsce.a3520.0911121","DOIUrl":"https://doi.org/10.35940/ijsce.a3520.0911121","url":null,"abstract":"Background: Adequate descent housing is a universal human rights integral component. Resources’ costs and intensified rural-urban migration increase demand for sustainable housing. Modern knowledge-based-economy uses innovation. Construction industry uses product and process innovation to provide adequate and descent low-cost housing. Kenya adopted innovation practices of slum upgrading that uses cost effective locally available building materials. This study looked at the outcomes; social and economic impacts of innovative construction in housing in the Mathare Valley Slum upgrading project Methods: This post occupancy study used exploratorydescriptive research design. Random sampling was used to sample 384 users of low-cost housing projects in Mathare Valley, Nairobi County. Research instruments included semi-structured questionnaires and interview guides. Pilot study, validity and reliability tests ensured quality of study. Ethical considerations included university approval and consent. Statistical package for social sciences (SPSS) software version 21 was applied to compute the descriptive and inferential statistics. Findings: Slum-upgrading had significant-positive outcome on improved houses and community. Social impacts included communal facilities; assurance of security of tenure; and retained frameworks of establishments. Economic impacts included employment; affordable and durable units (p values <0.05). Upgrading process did not influence rent fees, was corrupt and led to displacement of residents. Conclusion: Slum upgrading process affected positively. Similar projects should consider residents in decision-making.","PeriodicalId":173799,"journal":{"name":"International Journal of Soft Computing and Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126385759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Approaches for Hyperspectral Image Classification Detailed Review 高光谱图像分类方法综述

International Journal of Soft Computing and Engineering Pub Date : 1900-01-01 DOI: 10.35940/ijsce.a3522.0911121

Kushalatha M R, Prasantha H S, Beena. R. Shetty

{"title":"Approaches for Hyperspectral Image Classification Detailed Review","authors":"Kushalatha M R, Prasantha H S, Beena. R. Shetty","doi":"10.35940/ijsce.a3522.0911121","DOIUrl":"https://doi.org/10.35940/ijsce.a3522.0911121","url":null,"abstract":"Hyperspectral Image (HSI) processing is the new advancement in image / signal processing field. The growth over the years is appreciable. The main reason behind the successful growth of the Hyperspectral imaging field is due to the enormous amount of spectral and spatial information that the imagery contains. The spectral band that the HSI which contains is also more in number. When an image is captured through the HSI cameras, it contains around 200-250 images of the same scene. Nowadays HSI is used extensively in the fields of environmental monitoring, Crop-Field monitoring, Classification, Identification, Remote sensing applications, Surveillance etc. The spectral and spatial information content present in Hyperspectral images are with high resolutions.Hyperspectral imaging has shown significant growth and widely used in most of the remote sensing applications due to its presence of information of a scene over hundreds of contiguous bands In. Hyperspectral Image Classification of materials is the critical application of HSI using Hyperspectral sensors. It collects hundreds of spectrum channels, where each channel consists of a sharp point of Electromagnetic Spectrum. The paper mainly focuses on Deep Learning techniques such as Convolutional Neural Network (CNN), Artificial Neural Network (ANN), and Support Vector machines (SVM), K-Nearest Neighbour (KNN) for the accuracy in classification. Finally in the summary the current state-of-the-art scheme, a critical discussion after reviewing the research work by other professionals and organizing it into review-based paper, also implying about the present status on classification accuracy using neural networks is carried out.","PeriodicalId":173799,"journal":{"name":"International Journal of Soft Computing and Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133909589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Effect of Masking of Imagery with Picture-Stimuli on the Memory of Students of Architecture and Humanities. 图片刺激遮蔽意象对建筑与人文专业学生记忆的影响。

International Journal of Soft Computing and Engineering Pub Date : 1900-01-01 DOI: 10.35940/ijeat.c3298.119419

Suchitra Roy Chowdhury

{"title":"Effect of Masking of Imagery with Picture-Stimuli on the Memory of Students of Architecture and Humanities.","authors":"Suchitra Roy Chowdhury","doi":"10.35940/ijeat.c3298.119419","DOIUrl":"https://doi.org/10.35940/ijeat.c3298.119419","url":null,"abstract":"The current study investigates the effect of masking of mental images with congruent and incongruent picture-stimuli among the students of Architecture and Humanities. Students from these two streams were chosen (N=60, mean age = 19 yrs.). Participants were shown a list of concrete words and were urged to make mental images. The images made by the participants were covered by the Experimenter by the congruent and incongruent pictures. The effect of masking was compared among the high and low imagery usage participants. Two t tests were computed to understand the significant differences between the means. A non-significant t of 1.031 was obtained for the high imagery expert group while, a significant t of 4.699, p < 0.001 with df 58 was seen for low imagery expert group. Additionally, a two-way ANOVA was computed followed by Tukey’s post-hoc test to understand the difference in the overall recognition scores between the high and low imagery usage groups, the effect of masking on memory, and the interaction effect of both the variables. The findings have been discussed and interpreted with limitations and suggestions","PeriodicalId":173799,"journal":{"name":"International Journal of Soft Computing and Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126187815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0