• Title/Summary/Keyword: Selection of factors

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Load Balancing of Unidirectional Dual-link CC-NUMA System Using Dynamic Routing Method (단방향 이중연결 CC-NUMA 시스템의 동적 부하 대응 경로 설정 기법)

  • Suh Hyo-Joon
    • The KIPS Transactions:PartA
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    • v.12A no.6 s.96
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    • pp.557-562
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    • 2005
  • Throughput and latency of interconnection network are important factors of the performance of multiprocessor systems. The dual-link CC-NUMA architecture using point-to-point unidirectional link is one of the popular structures in high-end commercial systems. In terms of optimal path between nodes, several paths exist with the optimal hop count by its native multi-path structure. Furthermore, transaction latency between nodes is affected by congestion of links on the transaction path. Hence the transaction latency may get worse if the transactions make a hot spot on some links. In this paper, I propose a dynamic transaction routing algorithm that maintains the balanced link utilization with the optimal path length, and I compare the performance with the fixed path method on the dual-link CC-NUMA systems. By the proposed method, the link competition is alleviated by the real-time path selection, and consequently, dynamic transaction algorithm shows a better performance. The program-driven simulation results show $1{\~}10\%$ improved fluctuation of link utilization, $1{\~}3\%$ enhanced acquirement of link, and $1{\~}6\%$ improved system performance.

A Study on Efficient AI Model Drift Detection Methods for MLOps (MLOps를 위한 효율적인 AI 모델 드리프트 탐지방안 연구)

  • Ye-eun Lee;Tae-jin Lee
    • Journal of Internet Computing and Services
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    • v.24 no.5
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    • pp.17-27
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    • 2023
  • Today, as AI (Artificial Intelligence) technology develops and its practicality increases, it is widely used in various application fields in real life. At this time, the AI model is basically learned based on various statistical properties of the learning data and then distributed to the system, but unexpected changes in the data in a rapidly changing data situation cause a decrease in the model's performance. In particular, as it becomes important to find drift signals of deployed models in order to respond to new and unknown attacks that are constantly created in the security field, the need for lifecycle management of the entire model is gradually emerging. In general, it can be detected through performance changes in the model's accuracy and error rate (loss), but there are limitations in the usage environment in that an actual label for the model prediction result is required, and the detection of the point where the actual drift occurs is uncertain. there is. This is because the model's error rate is greatly influenced by various external environmental factors, model selection and parameter settings, and new input data, so it is necessary to precisely determine when actual drift in the data occurs based only on the corresponding value. There are limits to this. Therefore, this paper proposes a method to detect when actual drift occurs through an Anomaly analysis technique based on XAI (eXplainable Artificial Intelligence). As a result of testing a classification model that detects DGA (Domain Generation Algorithm), anomaly scores were extracted through the SHAP(Shapley Additive exPlanations) Value of the data after distribution, and as a result, it was confirmed that efficient drift point detection was possible.

A Study on Efficient Sidewalk Green Space Development for Improving Urban Thermal Environments and Enhancing Pedestrian Comfort - Focused on the Derivation of Parameters for Design, and Proposing Methods for Green Space Creation - (도시열환경 개선 및 보행자 열 쾌적성 증대를 위한 효율적 가로녹지 조성방안 연구 - 계획 및 설계를 위한 매개변수 도출과 녹지조성 방법 제안을 중심으로 -)

  • Park, Ju-Hyeon;Eum, Jeong-Hee
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.2
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    • pp.21-38
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    • 2024
  • This study aims to establish an efficient street green area to improve the urban thermal environment and enhance pedestrian thermal comfort. Specifically, This study identified parameters applicable to green space planning and design, analyzed thermal environment mitigation mechanisms for each parameter, and, based on these findings, proposed methods for tree species selection and planting in green space planning and design. To achieve this, 61 papers were selected through a four-stage process from both domestic and foreign sources. The selected papers were analyzed, and the following main results were derived: In open street canyons with high stress levels due to low aspect ratios and high sky view factors(SVF), broadleaf trees with wide crown widths, low trunk heights, high leaf area index(LAI), and high crown heights were found effective in reducing heat, thereby increasing the amount and quality of shade. In contrast, in deep and narrow street canyons with relatively low heat stress due to high aspect ratios and low SVF, broad-leaved trees with narrow crown widths, high trunks, low crown heights, and low LAI were effective in reducing heat by enhancing ventilation. This study can serve as fundamental data for establishing standards for street green spaces to improve the thermal environment of street canyons and enhance thermal comfort of pedestrians. Additionally, it can be valuable when selecting the location and prioritizing street green spaces. Moreover, it is anticipated to be a foundational resource for creating guidelines for green space planning and design in response to climate change.

Feeding Disorders in Autistic Spectrum Disorders (자폐 스펙트럼 장애 아동의 섭식장애: 문헌 고찰)

  • Min, Kyoung-chul;Shin, Jin-yong;Kim, Eun-hye
    • The Journal of Korean Academy of Sensory Integration
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    • v.21 no.3
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    • pp.79-102
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    • 2023
  • Objective : Autistic Spectrum Disorders(ASD) is a developmental disorder characterized by atypical sensory adaptation, communication problem, stereotyped behavior, and feeding disorders. The reasons for ASD feeding disorders are oral sensory motor, cognitive, behavioral, and social problems. Major symptoms include picky eating, selective eating, food refusal, food neophobia, limited food variety, and food aversion. ASD feeding disorders could be accompanied by various problems such as health and nutrition intake problems, feeding development, eating-related sociability, and family and caregiver stress. Feeding problems and disorders in ASD can present from birth. However, ASD is diagnosed by the age of 3, and there might be an appropriate treatment gap. Usually, symptoms of feeding disorders tend to decrease with age. However, the symptoms often remain, so early evaluation, intervention, and periodic checking are necessary. In this study, the general information about the feeding disorder characteristics of ASD, influencing factors, and intervention were described through a literature review. Conclusion : Sensory-based therapy and behavior-based therapies are generally used for feeding disorders in ASD. Sensory-based therapy is effective for food sensitivity and behavior-based therapy for food selection. As the symptoms of feeding disorders in ASD are diverse, a comprehensive approach includes play and participation, oral motor exercise, diet, and daily life. However, appropriate evaluation, intervention protocol, and guidelines for the treatment of feeding disorders in ASD are limited. Therefore, a complex approach based on a more systematic understanding is needed. Feeding rehabilitation specialists, such as occupational therapists, should provide appropriate evaluation and intervention.

A Study on the Types and Determinants of Young Farmers: Focusing on Young Farmers in Muan-gun, Jeollanam-do (청년농업인 유형화 및 결정요인 분석: 전남 무안군 청년농업인 중심으로)

  • Hyangmi Yi;Jongha Kim
    • Land and Housing Review
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    • v.15 no.2
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    • pp.107-124
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    • 2024
  • Based on Muan-gun, Jeollanam-do, this study explores how to mitigate the disappearance of rual areas. The study surveyed 95 young farmers in Muan-gun to assess their farming practices and the challenges they face. We further employ factor analysis and cluster analysis classify young farmers in Muan-gun, facilitating the identification of tailored policies or initiatives aimed at fostering and supporting young farmers. The results are summarized as follows. First, Muan County does not have any ordinances or original projects specifically designed to support young farmers. Second, the succession rate of farmland among young farmers in Muan County is 41.1%, which is comparable to the national rate of 43.7%. This indicates that approximately 40% of young farmers in Korea have inherited farmland, a critical foundation for agricultural activities. Third, despite accumulating farming experience, young farmers have not seen any improvement in local living conditions, and rather their difficulties have intensified. Fourth, this study conducted a factor analysis using 21 variables, resulting in the selection of seven common factors for cluster analysis. Consequently, young farmers in Muan County were categorized into three groups. The multinomial logit analysis revealed that the typology of young farmers is influenced by indicators such as cultivated area, farming experience, demand for smart farms, farm income, and farming type (rice cultivation or other). Therefore, to attract young farmers and prevent the decline of rural areas, policy efforts should focus on minimizing entry barriers to farming infrastructure, such as access to farmland, and improving local settlement conditions.

Minimization Method of Data Collection Delay Time for Bus Information System (버스정보 수집지연시간 최소화 방안 연구)

  • Lim, Seung-Kook;Kim, Young-Chan;Ha, Tae-Jun;Lee, Jong-Chul
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.6
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    • pp.81-91
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    • 2008
  • In this study, data collection delay time generated in bus information system is analysed and improvement on system reliability by minimizing the delay time is suggested. To minimize the data collection delay time (call setup time), factors on data collection phase are analyzed. Each connecting time that it occurs from wireless communication during data collection phase, is selected as a main effective variable and a model for selecting an optimum communication point to minimize the effect of data delay time by each connecting time is suggested. In this model, minimization of the point between the time carrying out wireless communication and vehicle moving time, is calculated and the difference between the bus arrival time and information delivered time to the passenger is reduced. The test results for the proposed model in BIS using a CDMA (Code Division Multiple Access) communication show that delay time in real system operation has been improved. The minimum data collection delay time based on optimal communication position leads to the better reliability for Bus Information System. This study can be applied to the selection of optimal communication position and detection position instead of empirical methods.

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Classification and Selection of the Breeding materials in the Silkworm, Bombyx mori, by Multivariate Analysis 1. Classification of the Silkworm Genetic Stocks by Principal Component Analysis and Cluster Analysis (다변량 해석법에 의한 누에 육종소재의 탐색 1. 주성분분석과 집락분석을 이용한 누에품종분류)

  • 정도섭;이인정
    • Journal of Sericultural and Entomological Science
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    • v.31 no.2
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    • pp.102-112
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    • 1989
  • Principal component analysis and cluster analysis were performed on the nine quantitative characters of the one hundred and forty eight silkworm genetic stocks. The six major quantitative characters such as cocoon yield, cocoon weight, cocoon shell weight, cocoon shell percentage, larval period of the 5th instar silkworm, and total larval period showed significantly positive correlation between them. The first three principal components extracted form the initial nine variables by principal component analysis accounted for about eighty percent of original information. The first and second principal components were characterized as factors related to silk productivity, and cocoon productivity, respectively. On the basis of multivariate analysis using city block distance determined from the first three principal components to measure the phenotypic diversity, the one hundred and forty eight silkworm genetic stocks could be clustered into seven varietal groups, and the phenotypic diversity between the varietal groups was partly related to their geographical origins. Among 7 varietal group, group II and IV revealed higher silk and cocoon productivity.

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Establishment of a transformation protocol combination particle bombardment with Agrobacterium tumefaciens in different zoysiagrass cultivars (유전자총과 아그로박테리움을 이용한 여러 가지 한국 잔디류의 형질전환체계 확립)

  • Kim Jong-Bo;Kim Kyong-Duck;Park Dae-Sup
    • Asian Journal of Turfgrass Science
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    • v.18 no.3
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    • pp.141-148
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    • 2004
  • In this report, several factors such as infection time and concentration of bacterial suspension, influencing on transient gene expression in Agrobacterium-mediated transformation were evaluated. An appropriate concentration (O.D 600nm = 1.0-1.2) of bateria and 30 min of infection time showed a higher level of GUS expression. To improve transformation efficiency (TE), friable embryogenic calli (FEC) were bombarded by tungsten particles without plasmid DNA, and then co-cultivated with A. tumefaciens LBA4404 which contains pTOK233 super binary vector, carrying neomycin phosphotransferase (NPTII), hygromycin phosphotransferase (hpt) and$\beta-glucuronidase$ (GUS) genes. Three days after co-cultivation with A. tumefaciens and particle bombardment, FEC cultures were transferred to the selection medium (SM: MS medium supplemented with BA 1mg/l, hygromycin 100mg/l, cefotaxime 250 mg/l and vancomycin 200mg/l). They were cultured for 2 weeks and then transferred to the second SM containing hygromycin 50mg/l, cefotaxime 200 mg/l and vancomycin 100mg/l. Later, stable GUS expression was detected 4 to 6 weeks after transfer to the SM. Further, TE from Agrobacterium-mediated transformation after particle bombardment increased to about 3-folds compared with Agrobacterium-mediated transformation without particle bombardment. In the present study, we established an efficient transformation protocol of zoysiagrass by using A. tumefaciens in the combination with particle bombardment for the first time.

Applied-mineralogical Characterization for the Quick-lime Manufactured from Fine-grained Domestic Limestones (국내산 세립질 석회석으로부터 제조된 생석회에 대한 응용광물학적 특성 평가)

  • Noh, Jin-Hwan;Lee, Hyun-Chul
    • Journal of the Mineralogical Society of Korea
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    • v.22 no.3
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    • pp.261-277
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    • 2009
  • This study is aimed to emphasize the significance of ore selection in lime manufacturing through the evaluation of applied-mineralogical impact factors of crude ores controlling calcination characteristics for some domestic limestones used currently for lime manufacturing. To do this work, systematic characterization and determination were carried out for the limestone ores and their calcination products in a fixed calcining condition (target temperature: $1000^{\circ}C$, retention time: 30 minutes, 2, 4, 10, 16 hours), and the results were correlated and discussed. Selected high-Ca limestones in this study are as much as > 98 wt%, but they are somewhat diverse in crystallinity, texture, and impurity composition. Synthesized quicklimes are varied depending on such a difference in ore characters. The Pungchon limestone has relatively very low calcination rate, and the limestones from the Gabsan formation and the Jeongseon formation exhibit good quality in calcination rate and decrepitation. Among these samples, the limestone ore from the Jeongseon formation is evaluated to be the best for crude ore in manufacturing of highly-reactive quicklime. In addition, it is characteristic that the Gabsan limestone comparative rich in Fe-bearing mineral such as pyrite and goethite is more conspicuous in sintering effect.

A Framework for Quality Improvement in Weapon System using Post-Logistics Support Data (후속군수지원 데이터 분석을 활용한 무기체계 품질향상 방법론)

  • Kim, Geun-Hyung;Kim, Young-Kuk;Park, Seung Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.680-687
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    • 2016
  • Although advanced weapon system weapons with high-performance and various functions have been developed, weapon defects can be fatal in the weapons industry. Therefore, the army requires quality improvement to reduce the number of defects which occur during both the development and operation of the weapon system. Recently, many manufacturers, including weapons manufacturers, have conducted analyses using defect related big-data in order to improve the quality. However, there have been few data analyses, because it is difficult to obtain the data required for the analysis of the development phase. Therefore, this study summarizes the pattern of the weapon system, military organization, and defect types using the actual data of the Post-Logistics Support (PLS) phase. The PLS data, which is referred to as the data collected after force integration, includes information on requests for maintenance. Through this information, this study selects key variables and analyzes the selected variables. The analysis results show the critical factors to be considered during the development phase. Finally, this study proposes a framework for advanced PLS systems using the PLS data. The proposed framework enables the development time of weapon systems to be further shortened and their quality to be improved.