• Title/Summary/Keyword: Size heterogeneity

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Significance and Research Challenges of Defensive and Offensive Cybersecurity in Smart Grid

  • Hana, Mujlid
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.29-36
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    • 2022
  • Smart grid (SG) software platforms and communication networks that run and manage the entire grid are increasingly concerned about cyber security. Characteristics of the smart grid networks, including heterogeneity, time restrictions, bandwidth, scalability, and other factors make it difficult to secure. The age-old strategy of "building bigger walls" is no longer sufficient given the rise in the quantity and size of cyberattacks as well as the sophisticated methods threat actor uses to hide their actions. Cyber security experts utilize technologies and procedures to defend IT systems and data from intruders. The primary objective of every organization's cybersecurity team is to safeguard data and information technology (IT) infrastructure. Consequently, further research is required to create guidelines and methods that are compatible with smart grid security. In this study, we have discussed objectives of of smart grid security, challenges of smart grid security, defensive cybersecurity techniques, offensive cybersecurity techniques and open research challenges of cybersecurity.

COMPETITOR ANALYSIS IN CONSTRUCTION BIDDING

  • B. L. Oo
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.161-167
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    • 2009
  • This paper offers a competitor analysis model for use by contractors as parts of more informed approach in identifying key competitors, and as a basis for formulating bidding strategies. Linear mixed model approach is used in measuring competitiveness between bids (by using bid competitiveness percentage) according to: (i) project size, (ii) work sector; (iii) work nature; and (iv) number of bidders. The model was tested empirically by application to a bidding dataset obtained from a large Hong Kong contractor. Allowing for heterogeneity across competing contractors (i.e. with the model parameters that varied across contractors), the results indicate that competitiveness in bidding of this contractor is generally greater than the majority of his competitors.

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A Study on Blockchain-Based Asynchronous Federated Learning Framework

  • Qian, Zhuohao;Latt, Cho Nwe Zin;Kang, Sung-Won;Rhee, Kyung-Hyune
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 춘계학술발표대회
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    • pp.272-275
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    • 2022
  • The federated learning can be utilized in conjunction with the blockchain technology to provide good privacy protection and reward distribution mechanism in the field of intelligent IOT in edge computing scenarios. Nonetheless, the synchronous federated learning ignores the waiting delay due to the heterogeneity of edge devices (different computing power, communication bandwidth, and dataset size). Moreover, the potential of smart contracts was not fully explored to do some flexible design. This paper investigates the fusion application based on the FLchain, which is the combination of asynchronous federated learning and blockchain, discusses the communication optimization, and explores the feasible design of smart contract to solve some problems.

THE ELEVATION OF EFFICACY IDENTIFYING PITUITARY TISSUE ABNORMALITIES WITHIN BRAIN IMAGES BY EMPLOYING MEMORY CONTRAST LEARNING TECHNIQUES

  • S. SINDHU;N. VIJAYALAKSHMI
    • Journal of applied mathematics & informatics
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    • 제42권4호
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    • pp.931-943
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    • 2024
  • Accurately identifying brain tumors is crucial for medical imaging's precise diagnosis and treatment planning. This study presents a novel approach that uses cutting-edge image processing techniques to automatically segment brain tumors. with the use of the Pyramid Network algorithm. This technique accurately and robustly delineates tumor borders in MRI images. Our strategy incorporates special algorithms that efficiently address problems such as tumor heterogeneity and size and shape fluctuations. An assessment using the RESECT Dataset confirms the validity and reliability of the method and yields promising results in terms of accuracy and computing efficiency. This method has a great deal of promise to help physicians accurately identify tumors and assess the efficacy of treatments, which could lead to higher standards of care in the field of neuro-oncology.

성인 초기 비만인을 대상으로 적용된 중재프로그램의 효과에 대한 메타분석 (Meta-analysis of the Effects of Obese Management Program for Obese Young Adults)

  • 이고운
    • 한국융합학회논문지
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    • 제12권8호
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    • pp.345-356
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    • 2021
  • 본 연구의 목적은 성인 초기 비만인을 대상으로 적용된 중재프로그램의 메타분석으로 중재의 효과를 확인하고, 중재 방법의 특성과 경향을 파악하기 위함이다. 분석 대상 연구는 총 19편으로 SIGN을 사용하여 문헌의 질평가를 실시하였으며, CMA 3.0 및 Revman 5.4을 활용하여 자료 분석하였다. 전체 중재프로그램은 큰 효과크기 (d=-0.76)이며 큰 이질성 (I2=81%)을 보였다. 결과 변수 중 BMI (d=-0.83) 와 체지방률 (d=-0.93)은 큰 효과크기를 보였으며, TG (d=-0.76)와 LDL (d=-0.59)은 중간 효과크기를 보였다. 하위그룹 분석에서 유산소운동, 복합운동, 중강도, 고강도 운동, 1시간 이상의 운동이 효과적이었다. 연구결과를 바탕으로 효과적인 성인 초기 비만인의 중재를 구성할 수 있을 것이다.

비특이적 만성 허리통증 환자에 대한 전기자극의 효과 : 국내 데이터베이스의 메타분석 (Effects of Electrical Stimulation on Patients with Non-Specific Low Back Pain : A Meta-Analysis of Domestic Database)

  • 이정우;조성현
    • 대한통합의학회지
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    • 제10권3호
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    • pp.37-52
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    • 2022
  • Purpose : The purpose of this meta-analysis was to evaluate the effects of electrical stimulation on patients with non-specific low back pain. Methods : Domestic databases were gathered from studies that conducted clinical trials associated with electrical stimulation and its impact on pain of non-specific low back patients. A total of 681 studies were identified, with 12 studies satisfying the inclusion data. The studies consisted of patient, intervention, comparison, outcome, and study design (PICO-SD). The search outcomes were items associated with low back pain. Cochrane risk of bias 2 (RoB 2) was used to evaluate the quality of 12 randomized controlled trials. Effect sizes (Hedges's g) in this study were computed as the corrected standard mean difference (SMD). A random-effect model was used to analyze the effect size because of the high heterogeneity among the studies. Egger's regression and 'trim-and-fill' tests were carried out to analyze the publication bias. Cumulative meta-analysis and sensitivity analysis were conducted to analyze the effect according to the sample size and the consistency of the effect size. Results : The following factors had a large overall effect size (Hedges's g=1.28, 95 % CI=.20~2.36) involving electrical stimulation on non-specific low back pain. The subgroup analysis all showed a statistical difference in the types of study design, electrical stimulation, and assessment tool. No statistically significant difference was found in the meta-regression analysis. Publican bias was found in the data. Conclusion : The findings in this study indicate that electrical stimulation interventions have a positive effect on patients with non-specific low back pain. However, due to the low quality of studies and publication bias, the results of our study should be interpreted cautiously.

편평세포암종 임파절 전이에 대한 인공 신경망 시스템의 진단능 평가 (Artificial Neural Network System in Evaluating Cervical Lymph Node Metastasis of Squamous Cell Carcinoma)

  • 박상욱;허민석;이삼선;최순철;박태원;유동수
    • 치과방사선
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    • 제29권1호
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    • pp.149-159
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    • 1999
  • Purpose: The purpose of this study was to evaluate cervical lymph node metastasis of oral squamous cell carcinoma patients by MRI film and neural network system. Materials and Methods: The oral squamous cell carcinoma patients(21 patients. 59 lymph nodes) who have visited SNU hospital and been taken by MRI. were included in this study. Neck dissection operations were done and all of the cervical lymph nodes were confirmed with biopsy. In MR images. each lymph node were evaluated by using 6 MR imaging criteria(size. roundness. heterogeneity. rim enhancement. central necrosis, grouping) respectively. Positive predictive value. negative predictive value. and accuracy of each MR imaging criteria were calculated. At neural network system. the layers of neural network system consisted of 10 input layer units. 10 hidden layer units and 1 output layer unit. 6 MR imaging criteria previously described and 4 MR imaging criteria (site I-node level II and submandibular area. site II-other node level. shape I-oval. shape II-bean) were included for input layer units. The training files were made of 39 lymph nodes(24 metastatic lymph nodes. 10 non-metastatic lymph nodes) and the testing files were made of other 20 lymph nodes(10 metastatic lymph nodes. 10 non-metastatic lymph nodes). The neural network system was trained with training files and the output level (metastatic index) of testing files were acquired. Diagnosis was decided according to 4 different standard metastatic index-68. 78. 88. 98 respectively and positive predictive values. negative predictive values and accuracy of each standard metastatic index were calculated. Results: In the diagnosis of using single MR imaging criteria. the rim enhancement criteria had highest positive predictive value (0.95) and the size criteria had highest negative predictive value (0.77). In the diagnosis of using single MR imaging criteria. the highest accurate criteria was heterogeneity (accuracy: 0.81) and the lowest one was central necrosis (accuracy: 0.59). In the diagnosis of using neural network systems. the highest accurate standard metastatic index was 78. and that time. the accuracy was 0.90. Neural network system was more accurate than any other single MR imaging criteria in evaluating cervical lymph node metastasis. Conclusion: Neural network system has been shown to be more useful than any other single MR imaging criteria. In future. Neural network system will be powerful aiding tool in evaluating cervical node metastasis.

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뇌졸중 환자의 다리 기능에 대한 경두개직류자극의 효과: 국내 연구의 메타분석 (Effects of Transcranial Direct Current Stimulation on Lower Extremity Function of Stroke Patients : A meta-analysis of domastic research)

  • 이정우;임지선
    • 대한통합의학회지
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    • 제9권3호
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    • pp.87-97
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    • 2021
  • Purpose : The purpose of this meta-analysis was to evaluate the effects of transcranial direct current stimulation on the lower extremity function of stroke patients. Methods : Domestic data were gathered from studies that conducted clinical trials associated with transcranial direct current stimulation and its impact on lower extremity function of stroke patients. A total of 592 studies published between 2012 and 2020 were identified, with 7 studies satisfying the inclusion data. The studies consisted of patient, intervention, comparison, and outcome (PICO) data. The search outcomes were items associated with muscle activity, balance, muscle strength and walking ability. Cochrane risk of bias (ROB) was used to evaluate the quality of 3 randomized control trials. The quality of 4 non-randomized control trials was evaluated using risk of bias assessment tool for non-randomized studies (RoBANS). Effect sizes in this study were computed as the corrected standard mean difference (SMD). A random-effect model was used to analyze the effect size because of the high heterogeneity among the studies. Egger's regression and 'trim-and-fill' tests were carried out to analyze the publishing bias. Results : The following factors had a large total effect size (Hedges's g=2.10, 95 %CI=1.54~2.66) involving transcranial direct current stimulation on stroke patients: muscle activity (Hedges's g=2.38, 95 %CI=1.08~3.68), balance (Hedges's g4=2.41, 95 %CI=1.33~3.60), walking ability (Hedges's g=1.54, 95 %CI=0.49~2.59), and muscle strength (Hedges's g=2.45, 95 % CI: 0.85~4.05). Egger's regression test showed that the publishing bias had statistically significant differences but 'trim-and-fill' test showed that there was still statistical difference. Conclusion : This study provides evidence for the effectiveness of transcranial direct current stimulation on the lower extremity in terms of muscle activity, balance, walking ability, and muscle strength in stroke patients. However, due to the low quality of studies and high heterogeneity factors, the results of our study should be interpreted cautiously.

Relationship between the spatial distribution of coastal sand dune plants and edaphic factors in a coastal sand dune system in Korea

  • Hwang, Jeong-sook;Choi, Deok-gyun;Choi, Sung-chul;Park, Han-san;Park, Yong-mok;Bae, Jeong-jin;Choo, Yeon-sik
    • Journal of Ecology and Environment
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    • 제39권1호
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    • pp.17-29
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    • 2016
  • We conducted the study on the relationship between the distribution of coastal sand dune plants and edaphic factors from the shoreline to inland in sand dune ecosystem. The application of TWINSPAN classification based on 10 species, led to the recognition of three vegetative groups (A-C), which associated with their habitats (foredune, hummuck in semistable zone and stable zone). The associations were separated along soil gradient far from the seashore. The relationships between species composition and environmental gradients were explained by canonical correspondence analysis (CCA). Distance from the shoreline was an important indicator to determine soil properties (pH, total ion contents, sand particle sizes, organic matters and nitrogen contents) from the seaward area to inland area and distribution pattern of coastal sand dune plants. Group A is foredune zone, characterized by Calystegia soldanella; group included typical foredune species such as Elymus mollis, Carex kobomugi, Ixeris repens, C. soldanella and Glehnia littoralis. Group B on semi-stabilized zone was characterized by Vitex rotundifolia, a perennial woody shrub. This group was associated the proportion of fine sand size (100 to 250 μm). The results on the proportion of soil particle size showed a transition in sand composition, particularly with respect to the proportion of fine sand size that occurred from the foredune ridge at 32.5 m to the Vitex rotundifolia community at 57.5 m from the shoreline. Group C on stabilized zone was characterized by Zoysia macrostachya, Lathyrus japonicus and Cynodon dactylon and were associated soil organic matter and nitrogen contents. The spatial distribution of plants in the Goraebul coastal sand dune system may result from the interactions between the plant species and environmental heterogeneity.

Responses of different phytoelements to habitat light level and their dynamic convergence towards crown development of Aucuba japonica Thunb. var. japonica

  • Ali, Md. Sohrab;Kikuzawa, Kihachiro
    • Journal of Ecology and Environment
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    • 제35권3호
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    • pp.177-188
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    • 2012
  • We analyzed crown development in Aucuba japonica Thunb. var. japonica resulting from the responses of phytoelements to habitat light conditions over a long period of time. Over the years, the degree of extension unit (EU) dimorphism and the degree of anisophylly were higher under shaded conditions than in brighter conditions. An overall temporally increasing pattern in the degree of EU dimorphism was found while no clear-cut trend was found in the case of anisophylly. EU length and number of leaves per EU co-varied in a spatio-temporal context. The number of terminal buds and their sizes acted as the key initiators of morphological differences of phytoelements which were further amplified following bud break. Leaf area density was displayed mostly in the apex peripheral layer of the crown and the apex layer received most of the incident light. There was a tradeoff between annual leaf production and mean leaf size. Depending on the heterogeneity of irradiance level within a crown, correlative growth inhibition caused higher EU mortality at brighter sites. Due to high mortality, shorter EUs had a mere role in the construction of structural framework of the crown except for the formation of some gaps. There was a strong convergence of EU dimorphism, anisophylly, EU extension growth and variations in leaf size towards formation of functional crown to reduce potential self-shading. Depending on the irradiance level, Aucuba japonica Thunb. var. japonica showed two different modes of crown expansion. At the brighter sites, individual crown expansion was progressive while at the darker sites, individual crown expanded in a diminishing manner and maintained a stable size. A plant's "growth diminishing phase" appeared earlier at shaded sites than brighter sites.