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Traffic Classification for Imbalanced Data Using CNN
Syifa Maliah Rachmawati,Dong-Seong Kim,Jae-Min Lee 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
Deep learning comes with the ability of automatic feature learning, some studies try to apply it in network traffic classification to get better accuracy. The uses of public datasets sometimes suffer from the condition of the imbalanced dataset. This paper proposes a model to classify the network traffic using a Convolutional Neural Network (CNN). To improve the accuracy, the feature selection process is employed and random undersampling is used to balance the dataset. It compared with regular CNN and Long Short-Term Memory (LSTM). The performance of the proposed algorithm is verified by using ISCX VPN-nonVPN dataset. The simulation result showed that the proposed algorithm achieves an accuracy of 97.38% with a validation loss of 0.0783.
Automated Fall Detection on Smart Factory based on Deep Learning Approach
Syifa Maliah Rachmawati,Danielle Jaye S. Agron,Dong-Seong Kim,Jae-Min Lee 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
The emergence of the smart environment and the Internet of Things paradigms with the increasing number of cameras in daily life, forms an optimal context for vision-based systems. This paper proposes a model to detect human falling by using deep learning algorithm for vision-based system. To improve fall-detection accuracy, a deep learning technique such as Convolutional Neural Network (CNN) combined with data augmentation and dropout layer to avoid over-fitting is proposed. It compared with existing convolutional-based architecture such as AlexNet, SqueezeNet, GoogleNet, and ResNet-18. The per-formance of the proposed algorithm is verified by using UR Fall Detection data set. The simulation result showed that the proposed algorithm achieves an accuracy 96.88% with validation loss 0.0638.
CNN-Based Traffic Classification in SDN-IIoT
Syifa Maliah Rachmawati,Dong-Seong Kim,Jae-Min Lee 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
The numerous of Industrial Internet of Things (IIoT) devices with varying QoS requirements needed accurate traffic classification to help improve their work efficiency and quality of service. The centralized architecture of SDN help in simplifying network management. Applying traffic classification in SDN architecture help manage and improve the performance network. This paper proposes a traffic classification model using CNN, which could perform in the imbalanced dataset and employ feature selection to improve the performance. The simulation work is verified based on ”ISCX VPN-nonVPN” dataset. The simulation result showed that the proposed algorithm achieves an accuracy of 98.34% and 0.048 ms of computing time.
중앙 119구조본부 소방대원용 화학 보호복과 방열복의 동작적합성 평가 및 디자인 개선
Syifa Salsabila,김도희,이주영 한국의류산업학회 2023 한국의류산업학회지 Vol.25 No.4
The present study developed a test protocol for evaluating the mobility of firefighting chemical and flame personalprotective equipment (PPE) for the National 119 Rescue Headquarters in Korea and suggested ergonomic design factors toimprove their mobility and performance. Six types of PPE were employed, including three types for flame protective PPE(5 ~ 6 kg excluding the self-contained breathing apparatus), and three types for chemical and flame protective PPE (8 ~11 kg). These PPEs are used by the 119 Rescue firefighters. Three male firefighters (34.3 ± 1.2 y in age, 175 ± 8 cm inheight, 81 ± 13 kg in body weight) participated in the mobility test and interview. A mobility test protocol consisting of 16components (nine postures and seven motions including a dexterity test) along with a visibility test were developed basedon pre-interviews and literature reviews. The findings indicated that the clothing microclimate humidity on the neck andchest exceeded 85%RH on average for all the six PPE conditions, with the chest area reaching as high as 98%RH. This highhumidity caused fogging inside the visor and impaired visibility. The requirements for improving the PPE design in termsof mobility varied depending on whether it was the separated types or all-in-one types, particularly regarding the hood andgloves design. The findings of this study can be applied to improve the design of Level A_PPE for firefighters. The mobilitytest protocol and visibility test developed in this study can also be applied to other types of Level A impermeable PPE.
Thermal effects of rayon and polyester hijabs in warm-humid and hot-dry environments
Salsabila Syifa,마리아 스텐키나,Sabrina Ilma Sakina,이주영 한국의류학회 2024 Fashion and Textiles Vol.11 No.1
Hijabs are predominantly worn in hot environments, but very rare studies on the thermo-physiological effects of wearing hijabs are found. We investigated the effects of wearing rayon and polyester hijabs on wearers’ physiological and subjective responses in warm-humid and hot-dry environments. Eight females (25.0 ± 2.3 y in age, 157.7 ± 4.1 cm in height, and 50.8 ± 7.5 kg in weight) participated in three conditions (No hijab, rayon hijab, and polyester hijab condition) during exercise in two thermal environments: a warm-humid (30 °C and 70%RH) and a hot-dry environment (36 °C and 30%RH), which generated an identical wet-bulb globe temperature at 27 °C. The results showed that no differences in rectal temperature were found among the three clothing conditions or the two environments, whereas auditory canal temperature was higher in the hot-dry than in the warm-humid environment ( P < 0.05) with no differences between the polyester and rayon hijab conditions. Mean skin temperature and neck temperature were higher for the polyester condition than for the rayon condition in the warm-humid environment ( P < 0.05). Sweat rate was greater for the polyester hijab condition than for the no hijab condition in the warm-humid environment ( P = 0.049). Heart rate was greater for the polyester hijab condition than for the other two conditions in the warm-humid environment ( P < 0.05). Subjects felt more thermally uncomfortable when wearing the polyester hijab than the rayon hijab in the warm-humid environment. Greater thermal burden of the polyester hijab when compared to the rayon hijab was marked in the warm-humid environment, not in the hot-dry environment.
Why Can’t We Have Both? A Discussion on Work-Life Balance and Women Career Advancement in Malaysia
Nursyamsyul Syifa Mustapa,Khairunneezam Mohd Noor,Mahazan Abdul Mutalib 한국유통과학회 2018 The Journal of Asian Finance, Economics and Busine Vol.5 No.3
While the number of women labor force in Malaysia is increasing, only a few of them make it to the top. For many reasons, some women turn down top position offer and some of them refuse to stay working. Commitment to the family, work-life conflict and lack of support from the family and the colleagues are among issues that caused women to have less interest to pursue career advancement. This article examines the role of work-life balance and its relationship to women career advancement, and why both are important in Malaysia. The arguments are arranged based on a review of the previous literature to conceptualize the relationship between work-life balance and career advancement. It is found that both work-life balance and women career advancement are important to retain women in the working world as well as to motivate them to pursue promotion to a higher position. Even though some researchers agreed that the relationship between work-life balance and career advancement is mostly negative, others found positive relationship between both constructs. At the end of the paper, some suggestions on how to improve work-life balance and career advancement are presented as well as suggestion for future research.
Nursyamsyul Syifa Mustapa,Khairunneezam Mohd Noor,Mahazan Abdul Mutalib 한국유통과학회 2017 KODISA ICBE (International Conference on Business Vol.2017 No.-
While the labor market is dominated by women, only small number of women make it to the top. For so many reasons, some women refuse top position and refuse to stay working. This article examines the role of work-life balance and its relationship to women career advancement, and why both are important in Malaysia. Malaysian society is a collectivist society and loyalty in a collectivist culture is vital. Consequently, the collectivist nature makes Malaysians give more importance to family members and this certainly influence the career decision-making of women. The arguments are arranged based on a review of the previous literature. It is found that both work-life balance and women career advancement are important to retain women in the working world as well as to motivate them to pursue promotion to a higher position. Even though some researchers agreed that the relationship between work-life balance and career advancement is mostly negative, others found that work-life balance could improve career advancement. At the end of the paper, some suggestions on how to improve work-life balance and career advancement are presented.