An autonomous and systematic microalgae species detection system based on the YOLACT model

Usman Safder(USMAN SAFDER),Jiwon Baek(백지원),Jongrack Kim(김종락),Kwangtae You(유광태) 대한환경공학회 2022 대한환경공학회 학술발표논문집 Vol.2022 No.11

Offline Shopping During the COVID-19 Pandemic: Between Need and Fear

Hardius USMAN(Hardius USMAN ),Nucke Widowati Kusumo PROJO(Nucke Widowati Kusumo PROJO ),Chairy CHAIRY(Chairy CHAIRY ) 한국4차산업학회 2022 4차산업연구 Vol.2 No.2

Purpose - The purposes of this research are: (1) Building and testing a research model that integrates Theory of Reasoned Action (TRA) with fear, perceived risk, and health protocols; (2) Examining the impact of compliance with health protocols on consumer behavior when offline shopping. Research design, data, and methodology - The data collection uses the self-administered survey method, and the questionnaire is distributed online. A total of 504 Indonesian population aged 18 years old or more participate in this research. Data are analyzed using factor analysis, multiple regression, and multiple regression with interaction. Result - This study reveals several findings: (1) Attitude and subjective norm have a significant effect on offline shopping behavior; (2) fear has a direct and indirect effect on offline shopping behavior; (3) the effect of perceived risk on the intensity of offline shopping is determined by compliance with health protocols. Conclusion - This paper discusses the direct influence of attitudes and subjective norms on behavior. This research also integrates fear, perceived risk, and health protocol factors in TRA, which may not have been done much, especially in the COVID-19 pandemic context.

Detection of small colon bleeding in wireless capsule endoscopy videos

Usman, Muhammad Arslan,Satrya, G.B.,Usman, Muhammad Rehan,Shin, Soo Young Elsevier 2016 Computerized medical imaging and graphics Vol.54 No.-

<P><B>Abstract</B></P> <P>In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in diagnosing diseases within the gastro intestinal (GI) tract of human beings. The WCE device captures images of the GI tract of patient with a certain frame rate. Physicians examine these images in order to find abnormalities in the GI tract. This examination process is very time consuming and hectic for the physician as a WCE device captures around 60,000 images on the average. At present, there are no standards defined for the WCE image classification. Computer aided methods help reducing the burden on the physicians by automatically detecting the abnormalities in the GI tract such as small colon bleeding. In this paper, a pixel based approach to detect bleeding regions in the WCE videos by using a support vector classifier is proposed. Threshold analysis in HSV color space is performed to compute the features for training an optimal support vector machine. The HSV features of the WCE images are fed to the trained support vector classifier for classification. Also, our method includes image enhancement and edge removal in WCE images, which is done prior to classification, for robust results. The method offers high sensitivity, specificity and accuracy in terms of correctly classifying images that contain bleeding regions as compared to another contemporary method. A detailed experimental analysis is also provided for the purpose of method evaluation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This paper presents a pixel based bleeding detection method in wireless capsule endoscopy (WCE) videos using support vector machine. </LI> <LI> The feature extraction for training the support vector machine is done by using threshold analysis in HSV color space. </LI> <LI> Edge removal and image enhancement methods are applied for minimizing the effect of edge regions in WCE videos prior to classification. </LI> </UL> </P>

Joint non-orthogonal multiple access (NOMA) & Walsh-Hadamard transform: Enhancing the receiver performance

Usman, Muhammad Rehan,Khan, Arsla,Usman, Muhammad Arslan,Shin, Soo Young China Communications Magazine Co. Ltd. 2018 China communications Vol.15 No.9

<P>Non-orthogonal multiple access (NOMA) is a new access method to achieve high performance gains in terms of capacity and throughput, so it is currently under consideration as one of the candidates for fifth generation (5G) technologies. NOMA utilizes power domain in order to superimpose signals of multiple users in a single transmitted signal. This creates a lot of interference at the receive side. Although the use of successive interference cancellation (SIC) technique reduces the interference, but to further improve the receiver performance, in this paper, we have proposed a joint Walsh-Hadamard transform (WHT) and NOMA approach for achieving better performance gains than the conventional NOMA. WHT is a well-known code used in communication systems and is used as an orthogonal variable spreading factor (OVSF) in communication systems. Application of WHT to NOMA results in low bit error rate (BER) and high throughput performance for both low and high channel gain users. Further, it also reduces peak to average power ratio (PAPR) of the user signal. The results are discussed in terms of comparison between the conventional NOMA and the proposed technique, which shows that it offers high performance gains in terms of low BER at different SNR levels, reduced PAPR, high user throughput performance and better spectral efficiency.</P>

A Novel No-Reference Metric for Estimating the Impact of Frame Freezing Artifacts on Perceptual Quality of Streamed Videos

Usman, Muhammad Arslan,Usman, Muhammad Rehan,Shin, Soo Young IEEE 2018 IEEE transactions on multimedia Vol.20 No.9

<P>Online monitoring of multimedia networks is required to ensure seamless and ubiquitous delivery of services to the end users. Quality of multimedia content, such as video streams, often gets degraded due to network losses such as packet loss. Frame freezing artifacts are introduced in a video stream when packet loss or packet delay takes place. Estimating the perceptual impact of these artifacts on quality of experience of end users helps service providers to maintain quality of service. In this paper, we have presented a novel no-reference video quality metric, which measures the impact of frame freezing due to packet loss and delay in video streaming networks. The proposed metric is based on several features that directly impact the quality of experience of end users. These features, including motion characteristics of videos, are calculated using the temporal information between video frames and then combined mathematically to form a video quality metric. Different weights are assigned to different features for better performance of the proposed metric. With detailed experiments, we have shown that our method outperforms other contemporary methods in terms of high accuracy and low computation time in frame freeze detection, low root mean square values, high coefficient of determination, and high correlation between subjective and objective measurements. We have used five video databases for our model's evaluation and validation. Furthermore, we have shown that our method is statistically superior to the other models in comparison.</P>

An Analysis of Spot Cloud in Cloud Computing

( Usman Mansoor ),( Usman Mehmood ),( Faraz Idris Khan ),( Ki-hyung Kim ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.1

Cloud Computing is a fast developing domain in computer system architecture which enables dynamically scalable and virtualized resources to its users. Spot Cloud is the next evolutionary step in this field which allows the cloud computing resources to be treated as a market commodity. Cloud computing vendors will now be able to put their un used computational resources for sale using the singular access platform provided by Spot Cloud. Meanwhile customers will be able to buy/sell these resources according to their requirements. This paper analyzes the idea of Spot Cloud and the anticipated impact it will have on Cloud Computing globally. The paper also presents the risks and inherent barriers associated with this idea and how they might hinder the development of Spot Cloud to its full potential.

Exploiting the Spatio-Temporal Attributes of HD Videos: A Bandwidth Efficient Approach

Usman, Muhammad Arslan,Usman, Muhammad Rehan,Shin, Soo Young Institute of Electrical and Electronics Engineers 2018 IEEE transactions on circuits and systems for vide Vol.28 No.9

<P>This paper proposes a novel method named exploiting spatio-temporal attributes of videos, which focuses on reducing bandwidth consumption in high-definition video streaming services. The method sequentially embeds every ninth frame of a video sequence in the spatial domain of its preceding eight consecutive frames. In this way, every ninth video frame does not require transmission, hence saving substantial amount of bandwidth. To avoid any visible degradation in videos, the embedding is done in an intelligent fashion by considering the variations in temporal information between consecutive video frames. The results show that up to 19% of bandwidth can be saved, while maintaining high video quality.</P>

Quality assessment for wireless capsule endoscopy videos compressed via HEVC: From diagnostic quality to visual perception

Usman, Muhammad Arslan,Usman, Muhammad Rehan,Shin, Soo Young Elsevier 2017 Computers in biology and medicine Vol.91 No.-

<P><B>Abstract</B></P> <P>Maintaining the quality of medical images and videos is an essential part of the e-services provided by the healthcare sector. The convergence of modern communication systems and the healthcare industry necessitates the provision of better quality of service and experience by the service provider. Recent inclusion and standardization of the high efficiency video coder (HEVC) has made it possible for medical data to be compressed and transmitted over wireless networks with minimal compromise of the quality. Quality evaluation and assessment of these medical videos transmitted over wireless networks is another important research area that requires further exploration and attention. In this paper, we have conducted an in-depth study of video quality assessment for compressed wireless capsule endoscopy (WCE) videos. Our study includes the performance evaluation of several state-of-the-art objective video quality metrics in terms of determining the quality of compressed WCE videos. Subjective video quality experiments were conducted with the assistance of experts and non-experts in order to predict the diagnostic and visual quality of these medical videos, respectively. The evaluation of the metrics is based on three major performance metrics that include, correlation between the subjective and objective scores, relative statistical performance and computation time. Results show that the metrics information fidelity criterion (IFC), visual information fidelity-(VIF) and especially pixel based VIF stand out as best performing metrics. Furthermore, our paper reports the performance of HEVC compression on medical videos and according to the results, it performs optimally in preserving the diagnostic and visual quality of WCE videos at Quantization Parameter (QP) values of up to 35 and 37 respectively.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This study presents video quality assessment for HEVC compressed wireless capsule endoscopy (WCE) videos. </LI> <LI> Based on our findings, high diagnostic quality can be maintained in WCE videos if compression level QP is kept ≤ 35. </LI> <LI> On the other hand, high visual quality can be maintained for larger QP values (QP ≤ 37), hence allowing more compression. </LI> <LI> Further in our study, state-of-the-art objective metrics are compared for estimating the quality of WCE videos. </LI> <LI> Pixel based Visual information fidelity (VIFP) metric outperforms other metrics in measuring the quality of WCE videos. </LI> </UL> </P>

Visual Quality Enhancement in Wireless Capsule Endoscopy Videos for Efficient Detection of Bleeding Regions in Small Colon

Muhammad Arslan Usman(아슬란 무하마드 우스만),Muhammad Rehan Usman(무하마드 레한 우스만),Soo Young Shin(신수용) 한국통신학회 2016 한국통신학회 학술대회논문집 Vol.2016 No.1

On the Performance of Turbo Coding in Non-Orthogonal Multiple Access (NOMA)

Muhammad Rehan Usman,Muhammad Arslan Usman,Arsla Khan,Soo Young Shin 한국통신학회 2017 한국통신학회 학술대회논문집 Vol.2017 No.6