• Title/Summary/Keyword: challenge model

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User Interface Application for Cancer Classification using Histopathology Images

  • Naeem, Tayyaba;Qamar, Shamweel;Park, Peom
    • Journal of the Korean Society of Systems Engineering
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    • v.17 no.2
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    • pp.91-97
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    • 2021
  • User interface for cancer classification system is a software application with clinician's friendly tools and functions to diagnose cancer from pathology images. Pathology evolved from manual diagnosis to computer-aided diagnosis with the help of Artificial Intelligence tools and algorithms. In this paper, we explained each block of the project life cycle for the implementation of automated breast cancer classification software using AI and machine learning algorithms to classify normal and invasive breast histology images. The system was designed to help the pathologists in an automatic and efficient diagnosis of breast cancer. To design the classification model, Hematoxylin and Eosin (H&E) stained breast histology images were obtained from the ICIAR Breast Cancer challenge. These images are stain normalized to minimize the error that can occur during model training due to pathological stains. The normalized dataset was fed into the ResNet-34 for the classification of normal and invasive breast cancer images. ResNet-34 gave 94% accuracy, 93% F Score, 95% of model Recall, and 91% precision.

A Fuzzy Logic Based Software Development Cost Estimation Model with improved Accuracy

  • Shrabani Mallick;Dharmender Singh Kushwaha
    • International Journal of Computer Science & Network Security
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    • v.24 no.6
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    • pp.17-22
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    • 2024
  • Software cost and schedule estimation is usually based on the estimated size of the software. Advanced estimation techniques also make use of the diverse factors viz, nature of the project, staff skills available, time constraints, performance constraints, technology required and so on. Usually, estimation is based on an estimation model prepared with the help of experienced project managers. Estimation of software cost is predominantly a crucial activity as it incurs huge economic and strategic investment. However accurate estimation still remains a challenge as the algorithmic models used for Software Project planning and Estimation doesn't address the true dynamic nature of Software Development. This paper presents an efficient approach using the contemporary Constructive Cost Model (COCOMO) augmented with the desirable feature of fuzzy logic to address the uncertainty and flexibility associated with the cost drivers (Effort Multiplier Factor). The approach has been validated and interpreted by project experts and shows convincing results as compared to simple algorithmic models.

Research on the Application of Gamification in Fitness App Based on Kano Model

  • Jing Ren;Chang-wook Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.136-148
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    • 2024
  • In recent years, public attention to health and wellness issues has increased. The integration of smart fitness hardware and innovative technologies have made the development of smart fitness a trend. The number of fitness applications in the market has surged, and demand for an optimal experience is increasingly high. This study selects Sweatcoin, Home Workout, Six Pack in 30 Days, and Fitness Coach & Diet as research subjects from the top ten global mobile health and fitness apps in 2022 based on download rankings. The research is based on eight gamification elements: motivation, challenge, achievement, relationships, sharing, reward, level, and competition, identified through preliminary studies. We distributed a total of 166 questionnaires to users and collected 163 valid responses for data analysis. The Kano Model was used to study the desires of fitness enthusiasts using fitness apps. To reduce the limitations of the research results, the Better-Worse Method was employed for satisfaction index analysis. Based on the final analysis, we propose suggestions for improvement for the four fitness apps to better meet user needs and create a more attractive and efficient application experience.

Dynamic swarm particle for fast motion vehicle tracking

  • Jati, Grafika;Gunawan, Alexander Agung Santoso;Jatmiko, Wisnu
    • ETRI Journal
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    • v.42 no.1
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    • pp.54-66
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    • 2020
  • Nowadays, the broad availability of cameras and embedded systems makes the application of computer vision very promising as a supporting technology for intelligent transportation systems, particularly in the field of vehicle tracking. Although there are several existing trackers, the limitation of using low-cost cameras, besides the relatively low processing power in embedded systems, makes most of these trackers useless. For the tracker to work under those conditions, the video frame rate must be reduced to decrease the burden on computation. However, doing this will make the vehicle seem to move faster on the observer's side. This phenomenon is called the fast motion challenge. This paper proposes a tracker called dynamic swarm particle (DSP), which solves the challenge. The term particle refers to the particle filter, while the term swarm refers to particle swarm optimization (PSO). The fundamental concept of our method is to exploit the continuity of vehicle dynamic motions by creating dynamic models based on PSO. Based on the experiments, DSP achieves a precision of 0.896 and success rate of 0.755. These results are better than those obtained by several other benchmark trackers.

Protein Ontology: Semantic Data Integration in Proteomics

  • Sidhu, Amandeep S.;Dillon, Tharam S.;Chang, Elizabeth;Sidhu, Baldev S.
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.388-391
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    • 2005
  • The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism.

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Effect of Picrorrhiza Rhizoma on Dinitrofluorobenzene-induced Contact Dermatitis (Type I allergy)

  • Park, Ji-Ha;Lee, Sang-Nam;Ku, Sae-Kwang
    • Biomolecules & Therapeutics
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    • v.16 no.3
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    • pp.237-242
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    • 2008
  • The effect of Picrorrhiza Rhizoma (PR) aqueous extracts were evaluated on 2,4-dinitrofluorobenzene (DNFB)-induced contact dermatitis, type I allergic model. Contact dermatitis was induced by sensitization with dinitrophenyl-derivatized ovalbumin (DNP-OVA) and DNFB challenge as antigen. Three different concentrations of PR extracts (300,150 and 75mg/kg) were orally administered to DNP-OVA sensitization mice once a day for 7 days with reference materials; dexamethasone (15mg/kg, intraperitoneal treatment). End of 7 days oral administration of PR extracts or intraperitoneal treatment of dexamethasone, the changes on the edematous changes and scratching behavior were measured. Immediate after DNFB challenge on ear or paw of DNP-OVA sensitized mice, increases of ear and paw thicknesses and weights were detected with anterior ear skin (dermis to epidermis) thickness and paw scratching behavior increases. However, these DNFB-induced increases on ear and paw thicknesses, weights and scratching behaviors were decreased by treatment of all three different dosages of PR extracts and dexamethasone, respectively. In addition, the increases of anterior skin thicknesses were also dramatically inhibited by treatment of all three different dosages of PR extracts and dexamethasone at histopathological observations. The results obtained in this study suggest that oral treatment of PR extracts also has relatively favorable effects on allergic dermatitis.

Inhibition of LPA5 Activity Provides Long-Term Neuroprotection in Mice with Brain Ischemic Stroke

  • Sapkota, Arjun;Park, Sung Jean;Choi, Ji Woong
    • Biomolecules & Therapeutics
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    • v.28 no.6
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    • pp.512-518
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    • 2020
  • Stroke is a leading cause of long-term disability in ischemic survivors who are suffering from motor, cognitive, and memory impairment. Previously, we have reported suppressing LPA5 activity with its specific antagonist can attenuate acute brain injuries after ischemic stroke. However, it is unclear whether suppressing LPA5 activity can also attenuate chronic brain injuries after ischemic stroke. Here, we explored whether effects of LPA5 antagonist, TCLPA5, could persist a longer time after brain ischemic stroke using a mouse model challenged with tMCAO. TCLPA5 was administered to mice every day for 3 days, starting from the time immediately after reperfusion. TCLPA5 administration improved neurological function up to 21 days after tMCAO challenge. It also reduced brain tissue loss and cell apoptosis in mice at 21 days after tMCAO challenge. Such long-term neuroprotection of TCLPA5 was associated with enhanced neurogenesis and angiogenesis in post-ischemic brain, along with upregulated expression levels of vascular endothelial growth factor. Collectively, results of the current study indicates that suppressing LPA5 activity can provide long-term neuroprotection to mice with brain ischemic stroke.

The Role of State Courts Aiding Arbitration (중재에 있어서 법원의 역할)

  • Park, Eun-Ok
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.30
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    • pp.91-120
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    • 2006
  • An Arbitration agreement is one kind of contracts between two or more contracting parties; any possible disputes that arise concerning a contract will be settled by arbitration. Contracting parties who have made a valid arbitration agreement will submit a dispute for settlement to private persons(arbitrators) instead of to a court. Arbitration may depend upon the agreement of the private parties, but it is also a system which has been built on the law and which relies upon that law in order to make it effective both nationally and internationally. That is to say, arbitration is wholly dependent on the underlying support of the court. The complementarity of the courts and of the arbitrators is a well-established fact; they seek for the common purpose, the efficacy of international commercial arbitration. Most states' laws contain the provisions which have been set for the supportive role of the courts relating to arbitration; (1) the enforcement of the arbitration agreement(rulings on validity of the arbitration agreement), and the establishment of the tribunal at the beginning of the arbitration, (2) challenge of arbitrators, interim measures, and intervention during evidence in the middle of the arbitral proceedings, (3) filing of the award, challenge of the arbitral award, and recognition and enforcement of the arbitral award at the end of the arbitration. Most international instruments and national laws concerning arbitration believe that authoritative courts should play their power not to control and supervise arbitration but to support and develop the merits of arbitration at most. 1985 UNCITRAL Model Law also expressly limit the scope of court's intervention to assist arbitration, not to control it.

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Ad Planning Model by Comparison Challenge Approach in the e-Marketplace (e-Marketplace에서의 비교도전에 의한 광고계획 모델)

  • 이재규;이재원
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.411-422
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    • 2002
  • 비교구매는 e-Marketplace의 매출에 큰 영향력을 미치고 있으나 운영 수익은 대부분 광고에 의존한다. 하지만 인터넷 광고의 수익률은 열악한 상태이며, 종량제 기반 광고 방법의 확대로 소비자에게 덜 알려진 판매자의 제품 정보 노출 기회는 더욱 줄어들고 있다. 따라서 비교구매 사업자의 광고 수익을 높이면서 판매자 입장에서는 예산 및 제약 조건 범위 내에서 광고 노출의 효율성을 최적화하는 방법 및 시스템에 대한 연구가 필요하다. 본 연구에서는 비교도전을 이용한 비교광고 방법을 제안하고 그 실행 방법으로 판매자의 비교 도전 계획 모델을 사용하는 e-Marketplace기반 비교구매 사업자의 비교광고 시스템을 설계하고 구현하였다. 비교도전 계획 모델은 경쟁사(Competitor), 경쟁 제품(Product) 그리고 제품의 사양(Specification)에 대한 수준별 도전 정책을 적용하며, 양 사의 제품 사양 속성값들 간의 기능적 거리를 양적 수치화하여 판매자 제품이 경쟁사 제품에 가장 유사하지만 우세한(Similar but Superior) 쌍들에 대한 비교광고 포트폴리오를 구성함을 목적으로 한다. 비교도전 계획 시스템은 비교가치의 생성과 최적화의 단계로 이뤄진다 주요 5개 PC제조사의 데스크탑 제품자료를 사용하여 프로토타입을 구축하였으며, 타 비교광고 방법과 대비한 성능 평가를 수행하였다. 또한 e-Marketplace기반 비교구매 사업자의 비교도전에 의한 비교광고 표시 방법을 예시하였다.

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The Analysis of the TETRA Authentication Protocol (TETRA 인증 프로토콜 분석)

  • Park Yong-Seok;Ahn Jae-Hwan;Jung Chang-Ho;Ahn Joung-Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.6
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    • pp.1070-1075
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    • 2006
  • TETRA system provides the radio authentication service which permits only authorized radio to access network. Radio authentication is the process which checks the sameness of authentication-key(K) shared between radio and authentication center by challenge-response protocol. TETRA standard authentication protocol can prevent the clone radio to copy ISSI from accessing network, but can't prevent the clone radio to copy ISSI & authentication-key. This paper analyzes authentication-key generation/delivery/infection model in TETRA authentication system and analyzes the threat of clone radio caused by authentication-key exposure. Finally we propose the new authentication protocol which prevent the clone radio to copy ISSI & authentication-key from accessing network.