• Title/Summary/Keyword: Negative sample training

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Imbalanced SVM-Based Anomaly Detection Algorithm for Imbalanced Training Datasets

  • Wang, GuiPing;Yang, JianXi;Li, Ren
    • ETRI Journal
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    • v.39 no.5
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    • pp.621-631
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    • 2017
  • Abnormal samples are usually difficult to obtain in production systems, resulting in imbalanced training sample sets. Namely, the number of positive samples is far less than the number of negative samples. Traditional Support Vector Machine (SVM)-based anomaly detection algorithms perform poorly for highly imbalanced datasets: the learned classification hyperplane skews toward the positive samples, resulting in a high false-negative rate. This article proposes a new imbalanced SVM (termed ImSVM)-based anomaly detection algorithm, which assigns a different weight for each positive support vector in the decision function. ImSVM adjusts the learned classification hyperplane to make the decision function achieve a maximum GMean measure value on the dataset. The above problem is converted into an unconstrained optimization problem to search the optimal weight vector. Experiments are carried out on both Cloud datasets and Knowledge Discovery and Data Mining datasets to evaluate ImSVM. Highly imbalanced training sample sets are constructed. The experimental results show that ImSVM outperforms over-sampling techniques and several existing imbalanced SVM-based techniques.

An Effect of CEO Characteristics and Marketing Activities on Management Performance of Fashion Corporate (패션기업의 최고경영자 특성과 마케팅 활동이 경영성과에 미치는 효과)

  • Ryou, Eun-Jeong;Ahn, Mi-Gang
    • Asia-Pacific Journal of Business
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    • v.11 no.4
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    • pp.103-119
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    • 2020
  • Purpose - This study aimed to clarify the effects of CEO characteristics and marketing activities on management performance of fashion corporate by using financial statement. Design/methodology/approach - This study collected a sample of total 170 companies that can obtain the corresponding data among fashion manufacturing companies listed on KOSPI. The data of the financial statements reported from 2011 to 2018 were analyzed. Correlation analysis and multiple regression analysis were conducted. Findings - First, the more the number of CEO and the younger the CEO, the more employee welfare and training expenditures of internal marketing. The age of the CEO had a negative effect on all external marketing activities. The CEO number had a negative effect on sales promotion and advertising expenditures, but a positive effect on entertainment expenditure of external marketing. Second, as a effect of marketing activities on management performance, the welfare and training expenditures of internal marketing and entertainment expenditure of external marketing had a positive effect but sales promotion expenditure of external marketing had a negative effect on management performance. Research implications or Originality - Marketing activities that consider the differentiated factors of fashion corporate are necessary. Also, the objective accounting information can provide practical information for fashion industry.

Association Analysis on The Completion Rate of Security education and Cyber Terror Response According to Personal and Job characteristics (인적 및 직무특성과 보안교육 이수율 및 사이버테러 대응과의 연관성 분석)

  • Shin, Hyun Jo;Lee, Kyung Bok;Park, Tae Hyoung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.97-107
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    • 2014
  • The development of ICT has led positive aspects such as popularization of Internet. It, on the other hand, is causing a negative aspect, Cyber Terror. Although the causes for recent and continuous increase of cyber security incidents are various such as lack of technical and institutional security measure, the main cause which threatens the cyber security is the users' lack of awareness and attitude. The purpose of this study is the positive analysis of how the personal and job characteristics influence the cyber security training participation rate and the response ability to cyber terror response training with a sample case of K-corporation employees. In this paper, the relationship among career, gender, department, whether he/she is a cyber security specialist, whether he/she is a regular employee), "ratio of cyber security training courses during recent three years", "ratio that he/she has opened the malicious email in cyber terror response training during recent three years", "response index of virus active-x installation (higher index means poorer response)" is closely examined. Moreover, based on the examination result, the practical and political implications regarding K-corporation's cyber security courses and cyber terror response training are studied.

Development of Crack Detection System for Highway Tunnels using Imaging Device and Deep Learning (영상장비와 딥러닝을 이용한 고속도로 터널 균열 탐지 시스템 개발)

  • Kim, Byung-Hyun;Cho, Soo-Jin;Chae, Hong-Je;Kim, Hong-Ki;Kang, Jong-Ha
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.4
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    • pp.65-74
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    • 2021
  • In order to efficiently inspect rapidly increasing old tunnels in many well-developed countries, many inspection methodologies have been proposed using imaging equipment and image processing. However, most of the existing methodologies evaluated their performance on a clean concrete surface with a limited area where other objects do not exist. Therefore, this paper proposes a 6-step framework for tunnel crack detection deep learning model development. The proposed method is mainly based on negative sample (non-crack object) training and Cascade Mask R-CNN. The proposed framework consists of six steps: searching for cracks in images captured from real tunnels, labeling cracks in pixel level, training a deep learning model, collecting non-crack objects, retraining the deep learning model with the collected non-crack objects, and constructing final training dataset. To implement the proposed framework, Cascade Mask R-CNN, an instance segmentation model, was trained with 1561 general crack images and 206 non-crack images. In order to examine the applicability of the trained model to the real-world tunnel crack detection, field testing is conducted on tunnel spans with a length of about 200m where electric wires and lights are prevalent. In the experimental result, the trained model showed 99% precision and 92% recall, which shows the excellent field applicability of the proposed framework.

Collapsed L4 Vertebral Body Caused by Brucellosis

  • Ekici, Mehmet Ali;Ozbek, Zuhtu;Kazanci, Burak;Guclu, Bulent
    • Journal of Korean Neurosurgical Society
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    • v.55 no.1
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    • pp.48-50
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    • 2014
  • Brucellosis is caused by gram-negative, aerobic, non-motile, facultative, intracellular coccobacilli belonging to the genus Brucella. A 50-year-old man working as an employee was admitted to neurosurgery clinic with severe low back, radicular right leg pain and hypoesthesia in right L4-5 dermatomes for 2 months. Brucella tube agglutination (Wright) test was positive in serum sample of the patient with a titer of 1/640. Brucella melitensis was isolated from blood culture. X-ray and MRI of the lomber spine showed massive collapse of L4 vertebral body. Neural tissue was decompressed and then posterior L3-5 short segment transpedicular screw fixation and stabilization was performed. Brucella melitensis was isolated from microbiologic culture of pathologic specimen. Antibiotic therapy was given as doxycycline 200 mg/day and rifampicin 600 mg/day for 6 months. Brucellosis is a systemic zoonotic infection and still an important public health problem in many geographical parts of the world. Vertebral body collapse caused by brucellosis occurs very rarely but represents a neurosurgical emergency because of its potential for causing rapidly progressive spinal cord compression and permanent paralysis. Neurosurgeons, emergency department personnel as well as infectious disease specialists should always keep a high index of suspicion and include brucellosis in the differential diagnosis of vertebral body collapse.

Histopathological Diversity in Parotidectomy Materials in Turkish Population: Clinicopathologic Analysis and Demographic Features of 136 Cases in a Tertiary Care Hospital

  • Altinay, Serdar;Taskın, Umit;Sar, Mehmet;Aydin, Salih;Oktay, Mehmet Faruk
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.14
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    • pp.5701-5707
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    • 2014
  • Background: Salivary gland tumours, which account for approximately 3% of head-neck cancers, are a heterogeneous group and thus it is difficult to identify their epidemiological characteristics. The aim of this study is to determine demographic features and histopathologic distribution of parotid neoplasms in a large sample from Turkey. Materials and Methods: This study was conducted retrospectively on 136 parotidectomy materials from operations between May 2009-May 2013. Age, gender, tumor diameter, histopathological diagnosis and surgical margin status were recorded. Results: The benign cases were 112 (82.4%), while the malignancies were 24 (17.6%). The accuracy rate of FNAC was 91%. There were 46 (33.8%) male and 90 (66.2%) female patients. Female/male ratio (M/F=0.5) was two, the Warthin (WT) tumor being more apparent in males (p<0.05). Pleomorphic adenoma (PA) was detected most frequently among benign pathologies at 61.6% (69/112), while the Warthin Tumor (WT) was detected as the second most frequent tumor at 20.5% (23/112). Mucoepidermoid carcinoma (MEC) and carcinoma ex pleomorphic adenoma (Ca ex PA) were detected at equal frequency at 20.8% (5/24) among malign tumors. These were followed by acinic cell carcinoma at 16.7% (4/24). While the surgical margin was positive in ten patients with malignant tumors (41.7%), all of the benign tumors were negative (p<0.01). No significant difference was detected in the age-gender of patients, tumor size and distribution of sites among benign and malignant groups (p>0.05). Conclusions: Pleomorphic adenoma is the most frequently reported benign tumor almost in all global literature. Yet, the distribution of malignant tumors displays geographical differences. Based on these data, we believe that our findings will provide a significant contribution to future epidemiological studies. We think that it will be beneficial to generate awareness on parotid tumors and ensure a fight against smoking as with all head-neck cancers.

Foodservice Employees' Big 5 and Its Impact on Turnover Intention - Focusing on the Mediating Effect of Job Satisfaction - (외식업체 종사원의 성격이 이직의도에 미치는 영향 - 직무만족의 매개효과를 중심으로 -)

  • Yoo, Young-Jin;Ha, Dong-Hyun
    • Journal of the East Asian Society of Dietary Life
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    • v.23 no.4
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    • pp.508-518
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    • 2013
  • In this study, the influence of sub-factors of Big Five personality (extraversion, agreeableness, conscientiousness, neuroticism, openness to experience) to job satisfaction and turnover intention, and mediating effect of job satisfaction between Big Five personality and turnover intention were empirically analysed. Also the relationship between job satisfaction and turnover intention was investigated. The sample of this study were customer-contact employees of restaurant among Youngnam province. 243 questionnaires were used for the empirical analyses. According to the empirical analysis results, openness to experience and conscientiousness respectively had positive influences to job satisfaction and turnover intention. Also neuroticism gave negative influence to turnover intention. Another research finding of this study was that mediating effect of job satisfaction existed in the causal relationship of 'openness to experience' and conscientiousness to turnover intention. Managerial implications of the research findings are that restaurant managers are recommended to select employees of having much of conscientiousness and 'openness to experience', and to employ those of having much of agreeableness. In the field of restaurant industry, training is very important for employees to foster these personalities, because this industry does not have environment of hiring employees of having much of these personalities. Also training can be applied to employees of having high neuroticism for minimizing their turnover intention.

The Social Media Factor: How Platforms Impact Usability of Blackboard at Umm Al Qura University

  • Ahmed R Albashiri
    • International Journal of Computer Science & Network Security
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    • v.24 no.7
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    • pp.207-213
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    • 2024
  • This study investigated the perceived usability of the Blackboard learning management system (LMS) amongst students at Umm Al-Qura University. A quantitative approach was employed to explore the potential relationship between Blackboard usability and social media platform usage. Additionally, the study aimed to identify other factors influencing perceived usability. Data were collected through a three-section questionnaire distributed electronically to a sample of students (n=544). The findings, based on System Usability Scale (SUS) scores, revealed that the overall perceived usability of Blackboard resided near the midpoint of the scale, indicating an "acceptable" level. A potential negative correlation emerged between social media usage time and perceived Blackboard usability. Students who reported lower social media usage exhibited higher SUS scores. Training on Blackboard usage demonstrably exerted a positive influence on perceived usability. Gender was not identified as a statistically significant factor. An analysis of student support methods revealed that seeking help from a friend was the most prevalent approach, followed by search engines, university technical support, and social media platforms. The findings suggest that implementing strategies to improve Blackboard usability at Umm Al-Qura University could be achieved through readily accessible training materials and the exploration of alternative support channels.

Detection of Circulating Tumor Cells in Breast Cancer Patients: Prognostic Predictive Role

  • Turker, Ibrahim;Uyeturk, Ummugul;Sonmez, Ozlem Uysal;Oksuzoglu, Berna;Helvaci, Kaan;Arslan, Ulku Yalcintas;Budakoglu, Burcin;Alkis, Necati;Aksoy, Sercan;Zengin, Nurullah
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.1601-1607
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    • 2013
  • A determination of circulating tumor cell (CTC) effectiveness for prediction of progression-free survival (PFS) and overall survival (OS) was conducted as an adjunct to standard treatment of care in breast cancer management. Between November 2008 and March 2009, 22 metastatic and 12 early stage breast carcinoma patients, admitted to Ankara Oncology Training and Research Hospital, were included in this prospective trial. Patients' characteristics, treatment schedules and survival data were evaluated. CTC was detected twice by CellSearch method before and 9-12 weeks after the initiation of chemotherapy. A cut-off value equal or greater than 5 cells per 7.5 ml blood sample was considered positive. All patients were female. Median ages were 48.0 (range: 29-65) and 52.5 (range: 35-66) in early stage and metastatic subgroups, respectively. CTC was positive in 3 (13.6%) patients before chemotherapy and 6 (27.3%) patients during chemotherapy in the metastatic subgroup whereas positive in only one patient in the early stage subgroup before and during chemotherapy. The median follow-up was 22.0 (range: 21-23) and 19.0 (range: 5-23) months in the early stage and metastatic groups, respectively. In the metastatic group, both median PFS and OS were significantly shorter in any time CTC positive patients compared to CTC negative patients (PFS: 4.0 vs 14.0 months, Log-Rank p=0.013; and OS: 8.0 months vs. 20.5 months, Log-Rank p<0.001). OS was affected from multiple visceral metastatic sites (p=0.055) and higher grade (p=0.044) besides CTC positivity (log rank p<0.001). Radiological response of chemotherapy was also correlated with better survival (p<0.001). As a result, CTC positivity was confirmed as a prospective marker even in a small patient population, in this single center study. Measurement of CTC by CellSearch method in metastatic breast carcinoma cases may allow indications of early risk of relapse or death with even as few as two measurements during a chemotherapy program, but this finding should be confirmed with prospective trials in larger study populations.

Safety Knowledge and Changing Behavior in Agricultural Workers: an Assessment Model Applied in Central Italy

  • Cecchini, Massimo;Bedini, Roberto;Mosetti, Davide;Marino, Sonia;Stasi, Serenella
    • Safety and Health at Work
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    • v.9 no.2
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    • pp.164-171
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    • 2018
  • Background: In recent years, the interest in health and safety in the workplace has increased. Agriculture is one of the human work activities with the highest risk indexes. Studies on risk perception of agricultural workers are often referred to as specific risk factors (especially pesticides), but the risk perception plays an important role in preventing every kind of accident and occupational disease. Methods: The aim of this research is to test a new method for understanding the relation between risk perception among farmers and the main risk factors to which they are exposed. A secondary aim is to investigate the influence of training in risk perception in agriculture. The data collection was realized using a questionnaire designed to investigate the risk perception; the questionnaire was given to a sample of 119 agricultural workers in central Italy. Through the use of the "principal components analysis" it was possible to highlight and verify the latent dimensions underlying the collected data in comparison with scales of attitudes. Results: Results show that the highest percentage of strong negative attitude is among the people who have worked for more years, while farmers who have worked for fewer years have a marked positive attitude. Conclusion: The analysis of the questionnaires through the synthetic index method (Rizzi index) showed that agricultural workers involved, in particular the elderly workers, have a negative attitude towards safety; workers are hostile to safety measures if they have not attended special training courses.