identification research
Recently Published Documents


TOTAL DOCUMENTS

120
(FIVE YEARS 30)

H-INDEX

12
(FIVE YEARS 1)

2021 ◽  
Vol 869 (1) ◽  
pp. 012028
Author(s):  
A A Muhammadar ◽  
D F Putra ◽  
W Widari

Abstract Shrimp is a fishery product that has high economic value. However, information of diversity and ecological index of penaeid shrimp Kuala Langsa was not well reported. Thus, this study aims to determine the species, analyze the ecological index and analyze the long relationship in penaeid shrimp caught in the Kuala Langsa mangrove waters. This study used purposive sampling method, for sampling was carried out with three locations and three repetitions. The results of the identification research found three species of the Penaeus genus with a total of 144 individuals consisting of P. monodon, P. indicus and P. merguiensis species with an average abundance value per station of 0.18, 0.09 and 0.21 ind/m2, the diversity index with an average number of 0.98 is categorized as low, the uniformity index 0.9 is categorized as high and the dominance index 0.37 is categorized as low. The length and weight relationship of male and female P. monodon species showed positive and negative allometric patterns, male and female P. indicus showed the same pattern, namely negative allometric and male and female P. merguiensis showed isometric and negative allometric patterns. Shrimp is a fishery product that has high economic value


Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Ruisong Zhang ◽  
Ye Tian ◽  
Junmei Zhang ◽  
Silan Dai ◽  
Xiaogai Hou ◽  
...  

Abstract Background The study of plant phenotype by deep learning has received increased interest in recent years, which impressive progress has been made in the fields of plant breeding. Deep learning extremely relies on a large amount of training data to extract and recognize target features in the field of plant phenotype classification and recognition tasks. However, for some flower cultivars identification tasks with a huge number of cultivars, it is difficult for traditional deep learning methods to achieve better recognition results with limited sample data. Thus, a method based on metric learning for flower cultivars identification is proposed to solve this problem. Results We added center loss to the classification network to make inter-class samples disperse and intra-class samples compact, the script of ResNet18, ResNet50, and DenseNet121 were used for feature extraction. To evaluate the effectiveness of the proposed method, a public dataset Oxford 102 Flowers dataset and two novel datasets constructed by us are chosen. For the method of joint supervision of center loss and L2-softmax loss, the test accuracy rate is 91.88%, 97.34%, and 99.82% across three datasets, respectively. Feature distribution observed by T-distributed stochastic neighbor embedding (T-SNE) verifies the effectiveness of the method presented above. Conclusions An efficient metric learning method has been described for flower cultivars identification task, which not only provides high recognition rates but also makes the feature extracted from the recognition network interpretable. This study demonstrated that the proposed method provides new ideas for the application of a small amount of data in the field of identification, and has important reference significance for the flower cultivars identification research.


2021 ◽  
Vol 23 (1) ◽  
pp. 17-28
Author(s):  
Graham Pike ◽  
Catriona Havard ◽  
Gini Harrison ◽  
Hayley Ness

Research has undoubtedly led to a number of important changes to the way police obtain eyewitness identification evidence in a number of countries. However, despite these successes and the significant effort made by researchers to communicate key findings to public agencies, policy-makers and influential law enforcement personnel using a broad range of evidence, relevant policy and practice have either been very slow to respond or have not changed to incorporate the suggestions at all. In this article we employed an online survey to explore the knowledge and opinions of front-line policing practitioners in the UK regarding eyewitness research and practice. This was undertaken to determine how familiar less-senior, operational staff were with key research findings, what their opinions of current practice were and crucially, their views on how identification procedures should be improved compared with the recommendations made by researchers. The results revealed a fundamental mismatch between research and practice, with practitioners indicating a need to increase the rate of positive identifications and research tending to focus on methods of reducing false identifications. This result suggests that an approach driven by the need for the police to produce convictions may be an important factor that is blocking the translation of eyewitness identification research into practice.


2021 ◽  
Vol 30 (1) ◽  
pp. 58-68
Author(s):  
Elizabeth Delia ◽  
Matthew Katz ◽  
Cole Armstrong

For decades, scholars have sought to understand individuals’ identification with sport teams. As a result, we have great knowledge of how team identification influences a variety of attitudinal and behavioral out-comes as well as the impact of identifying with a team on an individual’s sense of self. However, nearly all studies of team identification have dealt with men’s sport rather than women’s sport. The authors addressed this issue in the current study by using the Delphi technique to solicit expert opinion on the lack of team identification research in women’s sport, including reasons for the lack of research, the extent to which context matters in studying team identification, and potential contributions to the team identification literature by examining the concept in women’s sport settings. The authors conclude by discussing experts’ opinions, the extent to which some views may underpin the lack of research, and implications for future studies of team identification.


2021 ◽  
Vol 30 (1) ◽  
pp. 58-68
Author(s):  
Elizabeth Delia ◽  
Matthew Katz ◽  
Cole Armstrong

For decades, scholars have sought to understand individuals’ identification with sport teams. As a result, we have great knowledge of how team identification influences a variety of attitudinal and behavioral out-comes as well as the impact of identifying with a team on an individual’s sense of self. However, nearly all studies of team identification have dealt with men’s sport rather than women’s sport. The authors addressed this issue in the current study by using the Delphi technique to solicit expert opinion on the lack of team identification research in women’s sport, including reasons for the lack of research, the extent to which context matters in studying team identification, and potential contributions to the team identification literature by examining the concept in women’s sport settings. The authors conclude by discussing experts’ opinions, the extent to which some views may underpin the lack of research, and implications for future studies of team identification.


Author(s):  
Kenneth Le Meunier-FitzHugh

This chapter examines marketing research, one of the most engaging parts of marketing, as it is the opportunity for organizations to evaluate marketing performance, uncover customer behaviours, and explore their preferences. Marketing research covers a range of activities which may be positioned as either problem-identification research or problem-solving research. Sources of data and information for marketing research include secondary or desk research; primary or field data; quantitative data; and qualitative data. Meanwhile, marketing research methods are reviewed including surveys and questionnaires; focus groups and interviews; experiments and observations; and neuromarketing. The chapter then considers how sampling is widely used in primary research. It also looks at customer insights and big data.


Sign in / Sign up

Export Citation Format

Share Document