• Title/Summary/Keyword: Software Quality-in-use

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TOSS: Telecom Operations Support Systems for Broadband Services

  • Chen, Yuan-Kai;Hsu, Chang-Ping;Hu, Chung-Hua;Lin, Rong-Syh;Lin, Yi-Bing;Lyu, Jian-Zhi;Wu, Wudy;Young, Hey-Chyi
    • Journal of Information Processing Systems
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    • v.6 no.1
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    • pp.1-20
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    • 2010
  • Due to the convergence of voice, data, and video, today's telecom operators are facing the complexity of service and network management to offer differentiated value-added services that meet customer expectations. Without the operations support of well-developed Business Support System/Operations Support System (BSS/OSS), it is difficult to timely and effectively provide competitive services upon customer request. In this paper, a suite of NGOSS-based Telecom OSS (TOSS) is developed for the support of fulfillment and assurance operations of telecom services and IT services. Four OSS groups, TOSS-P (intelligent service provisioning), TOSS-N (integrated large-scale network management), TOSS-T (trouble handling and resolution), and TOSS-Q (end-to-end service quality management), are organized and integrated following the standard telecom operation processes (i.e., eTOM). We use IPTV and IP-VPN operation scenarios to show how these OSS groups co-work to support daily business operations with the benefits of cost reduction and revenue acceleration.

Applicability of Daoyin Exercise with Therapeutic Exercise for Shoulder Pain: A Systematic Review and Meta-analysis (치료적 운동을 포함한 도인운동의 어깨 통증에 대한 적용 가능성 탐색: 체계적 문헌고찰 및 메타 분석)

  • Hyeonsun Park;Sanghyeon Park;Jiho Lee;Seohyun Park;Dongho Keum
    • Journal of Korean Medicine Rehabilitation
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    • v.33 no.4
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    • pp.79-93
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    • 2023
  • Objectives The purpose of this study is to investigate therapeutic exercise and to provide the evidence of daoyin exercise for shoulder pain. Methods Electronic databases including PubMed, EMBASE, China National Knowledge Infrastructure, Science ON, Oriental Medicine Advanced Searching Integrated System were searched up to October 2022. We selected randomized controlled trials. The quality of studies was assessed by Cochrane risk of bias tool. Meta-analysis were perfomed by Review Manager software. Results Eighteen randomized controlled trials were collected in accordance with the selection and exclusion criteria. Among the 18 trials, 7 trials used strengthening exercise, 4 trials used stablilization exercise, 5 trials used both types of intervention, and 2 trials used daoyin exercise. The study characteristics, results and method of intervention were analyzed. Meta-analysis showed that therapeutic exercise appeared to more effective than no treatment group for shoulder pain (standardized mean difference=-1.18, 95% confidence interval=-1.44 to 0.91, Z=8.82, p<0.00001; chi2=2.71, p=0.61; I2=0%). Conclusions All of 18 selected studies reported the effectiveness of therapeutic exercise for shoulder pain. Combining strengthening and stablilization exercise is considered the most efficient way for shoulder pain. Based on this study, well-designed studies should be performed to be evidence of the use of daoyin exercise for shoulder pain.

Enhanced Machine Learning Preprocessing Techniques for Optimization of Semiconductor Process Data in Smart Factories (스마트 팩토리 반도체 공정 데이터 최적화를 위한 향상된 머신러닝 전처리 방법 연구)

  • Seung-Gyu Choi;Seung-Jae Lee;Choon-Sung Nam
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.4
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    • pp.57-64
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    • 2024
  • The introduction of Smart Factories has transformed manufacturing towards more objective and efficient line management. However, most companies are not effectively utilizing the vast amount of sensor data collected every second. This study aims to use this data to predict product quality and manage production processes efficiently. Due to security issues, specific sensor data could not be verified, so semiconductor process-related training data from the "SAMSUNG SDS Brightics AI" site was used. Data preprocessing, including removing missing values, outliers, scaling, and feature elimination, was crucial for optimal sensor data. Oversampling was used to balance the imbalanced training dataset. The SVM (rbf) model achieved high performance (Accuracy: 97.07%, GM: 96.61%), surpassing the MLP model implemented by "SAMSUNG SDS Brightics AI". This research can be applied to various topics, such as predicting component lifecycles and process conditions.

Market in Medical Devices of Blockchain-Based IoT and Recent Cyberattacks

  • Shih-Shuan WANG;Hung-Pu (Hong-fu) CHOU;Aleksander IZEMSKI ;Alexandru DINU;Eugen-Silviu VRAJITORU;Zsolt TOTH;Mircea BOSCOIANU
    • Korean Journal of Artificial Intelligence
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    • v.11 no.2
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    • pp.39-44
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    • 2023
  • The creativity of thesis is that the significance of cyber security challenges in blockchain. The variety of enterprises, including those in the medical market, are the targets of cyberattacks. Hospitals and clinics are only two examples of medical facilities that are easy targets for cybercriminals, along with IoT-based medical devices like pacemakers. Cyberattacks in the medical field not only put patients' lives in danger but also have the potential to expose private and sensitive information. Reviewing and looking at the present and historical flaws and vulnerabilities in the blockchain-based IoT and medical institutions' equipment is crucial as they are sensitive, relevant, and of a medical character. This study aims to investigate recent and current weaknesses in medical equipment, of blockchain-based IoT, and institutions. Medical security systems are becoming increasingly crucial in blockchain-based IoT medical devices and digital adoption more broadly. It is gaining importance as a standalone medical device. Currently the use of software in medical market is growing exponentially and many countries have already set guidelines for quality control. The achievements of the thesis are medical equipment of blockchain-based IoT no longer exist in a vacuum, thanks to technical improvements and the emergence of electronic health records (EHRs). Increased EHR use among providers, as well as the demand for integration and connection technologies to improve clinical workflow, patient care solutions, and overall hospital operations, will fuel significant growth in the blockchain-based IoT market for linked medical devices. The need for blockchain technology and IoT-based medical device to enhance their health IT infrastructure and design and development techniques will only get louder in the future. Blockchain technology will be essential in the future of cybersecurity, because blockchain technology can be significantly improved with the cybersecurity adoption of IoT devices, i.e., via remote monitoring, reducing waiting time for emergency rooms, track assets, etc. This paper sheds the light on the benefits of the blockchain-based IoT market.

Web Learning Systems Development based on Product Line (프로덕트 라인 기반의 웹 학습 시스템 개발)

  • Kim Haeng-Hon;Kim Su-Youn
    • The KIPS Transactions:PartD
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    • v.12D no.4 s.100
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    • pp.589-600
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    • 2005
  • Application developers need effective reuseable methodology to meet rapidly changes and variety of users requirements. Product Line and CBD(Component Based Development) offer the great benefits on quality and productivity for developing the software that is mainly associate with reusable architectures and components in a specific domain and rapidly changing environments. Product line can dynamically focus on the commonality and variety feature model among the products. The product line uses the feature modeling for discovering, analyzing, and mediating interactions between products. Reusable architectures include many variety plans and mechanisms. In case of those architecture are use in product version for a long time, It is very important in architecture product line context for product line design phase. Application developer need to identify the proper location of architecture changing for variety expression. It is lack of specific variety managements to design the product line architecture until nowdays. In this paper, we define various variety types to identify the proper location of architecture changing for variety expression and to design the reusable architecture. We also propose architecture variety on feature model and describe variety expression on component relations. We implemented the web learning system based on the methodology. We finally describe how these methodology may assist in increasing the efficiency, reusability, productivity and quality to develop an application. In the future, we are going to apply the methodology into various domain and suggest international and domestic's standardization.

Automatic Detection of Usability Issues on Mobile Applications (모바일 앱에서의 사용자 행동 모델 기반 GUI 사용성 저해요소 검출 기법)

  • Ma, Kyeong Wook;Park, Sooyong;Park, Soojin
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.7
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    • pp.319-326
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    • 2016
  • Given the attributes of mobile apps that shorten the time to make purchase decisions while enabling easy purchase cancellations, usability can be regarded to be a highly prioritized quality attribute among the diverse quality attributes that must be provided by mobile apps. With that backdrop, mobile app developers have been making great effort to minimize usability hampering elements that degrade the merchantability of apps in many ways. Most elements that hamper the convenience in use of mobile apps stem from those potential errors that occur when GUIs are designed. In our previous study, we have proposed a technique to analyze the usability of mobile apps using user behavior logs. We proposes a technique to detect usability hampering elements lying dormant in mobile apps' GUI models by expressing user behavior logs with finite state models, combining user behavior models extracted from multiple users, and comparing the combined user behavior model with the expected behavior model on which the designer's intention is reflected. In addition, to reduce the burden of the repeated test operations that have been conducted by existing developers to detect usability errors, the present paper also proposes a mobile usability error detection automation tool that enables automatic application of the proposed technique. The utility of the proposed technique and tool is being discussed through comparison between the GUI issue reports presented by actual open source app developers and the symptoms detected by the proposed technique.

Improvement Plan of NFRDI Serial Oceanographic Observation (NSO) System for Operational Oceanographic System (운용해양시스템을 위한 한국정선해양관측시스템 발전방향)

  • Lee, Joon-Soo;Suh, Young-Sang;Go, Woo-Jin;Hwang, Jae-Dong;Youn, Seok-Hyun;Han, In-Seong;Yang, Joon-Yong;Song, Ji-Young;Park, Myung-Hee;Lee, Keun-Jong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.16 no.3
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    • pp.249-258
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    • 2010
  • This study seeks to improve NFRDI Serial Oceanographic observation (NSO) system which has been operated at current observation stations in the Korean Seas since 1961 and suggests the direction of NSO for practical use of Korean operational oceanographic system. For improvement, data handling by human after CTD (Conductivity-Temperature-Depth) observation on the deck, data transmission, data reception in the land station, and file storage into database need to be automated. Software development to execute QA/QC (Quality Assurance/Quality Control) of real-time oceanographic observation data and to transmit the data with conversion to appropriate format automatically will help to accomplish the automation. Inmarsat satellite telecommunication systems with which have already been equipped on board the current observation vessels can realize the real-time transmission of the data. For the near real-time data transmission, CDMA (Code Division Multiple Access) wireless telecommunication can provide efficient transmission in coastal area. Real-time QA/QC procedure after CTD observation will help to prevent errors which can be derived from various causes.

Pharmacoacupuncture for the Treatment of Frozen Shoulder: protocol for a systematic review and meta-analysis

  • Ji-Ho Lee;Hyeon-Sun Park;Sang-Hyeon Park;Dong-Ho Keum;Seo-Hyun Park
    • Journal of Pharmacopuncture
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    • v.27 no.1
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    • pp.14-20
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    • 2024
  • Objectives: Frozen shoulder (FS) is one of the most challenging shoulder disorders for patients and clinicians. Its symptoms mainly include any combination of stiffness, nocturnal pain, and limitation of active and passive glenohumeral joint movement. Conventional treatment options for FS are physical therapy, nonsteroidal anti-inflammatory drugs, injection therapy, and arthroscopic capsular release, but adverse and limited effects continue to present problems. As a result, pharmacoacupuncture (PA) is getting attention as an alternative therapy for patients with FS. PA is a new form of acupuncture treatment in traditional Korean medicine (TKM) that is mainly used for musculoskeletal diseases. It has similarity and specificity compared to corticosteroid injection and hydrodilatation, making it a potential alternative injection therapy for FS. However, no systematic reviews investigating the utilization of PA for FS have been published. Therefore, this review aims to standardize the clinical use of PA for FS and validate its therapeutic effect. Methods: The protocol was registered in Prospero (CRD42023445708) on 18 July 2023. Until Aug. 31, 2023, seven electronic databases will be searched for randomized controlled trials of PA for FS. Authors will be contacted, and manual searches will also be performed. Two reviewers will independently screen and collect data from retrieved articles according to predefined criteria. The primary outcome will be pain intensity, and secondary outcomes will be effective rate, Constant-Murley Score, Shoulder Pain and Disability Index, range of motion, quality of life, and adverse events. Bias and quality of the included trials will be assessed using the Cochrane handbook's risk-of-bias tool for randomized trials. Meta analyses will be conducted using Review Manager V.5.3 software. GRADE will be used to evaluate the level of evidence for each outcome. Results: This systematic review and meta-analysis will be conducted following PRISMA statement. The results will be published in a peer-reviewed journal. Conclusion: This review will provide scientific evidence to support health insurance policy as well as the standardization of PA in clinical practice.

Agile Framework for SOA-based Application Development (SOA 기반 애플리케이션 개발을 위한 Agile 프레임워크)

  • Shin, Seung-Woo;Kim, Haeng-Kon
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.55-64
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    • 2009
  • Various business model and computing environments are currently merged into web services and many web related application products are also develop. Most of IT enterprises in Korea use the Service-oriented architecture (SOA) whenever they develop the web applications. SOA is an approach to loosely coupled, protocol independent, standards-based distributed computing where software resources available on the network are considered as Services. SOA is believed to become the future enterprise technology solution that promises the agility and flexibility the business users have been looking for by leveraging the integration process through composition of the services spanning multiple enterprises. But, There are no specific development methodology to apply into SOA standard model until now. The developer uses the currently existing methodology to develop the application with SOA. The users have some limitations to use it. In this paper, we suggest a Frameworks for applying agile methodology into SOA to address the productivity and quality of small web related project. We design and implement a frameworks architecture for applying the agile method into SOA and describe the process model to implement it. We finally evaluate the frameworks with productivity, flexibility and maintainability.

Effects on lifestyle and life satisfaction of active Senior's mobile app usage level (액티브 시니어의 모바일 앱 사용 수준이 라이프스타일과 삶의 만족도에 미치는 영향)

  • Huh, Wonwhoil;Choi, Jeongil
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.229-236
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    • 2022
  • The goal of this research is to understand the extent to which active seniors' mobile app usage level affects their lifestyle and life satisfaction. For this, we surveyed for 15 days in early December 2021 targeting about 150 users nationwide. As the questionnaire content, the independent variable was "mobile app usage level", the parameter was "lifestyle", and the dependent variable was "life satisfaction". As a result of empirical analysis, reliability and exploratory factors between each variable were verified, and it was confirmed that internal consistency was secured. It was investigated that the concentration validity of each item was generally well confirmed. As a result of hypothesis testing by the structural equation, 'App usage level ⇨ Lifestyle' was 0.244, 'Lifestyle ⇨ Life satisfaction' 0.707, and 'App usage level ⇨ Life satisfaction 0.141' was adopted. This study shows that the higher the level of mobile app usage of active seniors, the higher the lifestyle. Also, the better the lifestyle, the better the quality of life. It is analyzed that life satisfaction will improve as the level of mobile app use increases. Therefore, in order to improve life satisfaction, it seems necessary to increase the level of app use and lifestyle.