• Title/Summary/Keyword: Power Level Control

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Studies on the general analysis and antioxidant component analysis of Chenopodium album var. centrorubrum and biochemical analysis of blood of mice administered C. album (명아주의 일반성분, 항산화활성 분석 및 흰쥐의 혈중 생화학적 분석에 관한 연구)

  • Han, Kyoung-Sik;Jung, Tae-Hwan;Shin, Kyung-Ok
    • Korean Journal of Food Science and Technology
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    • v.51 no.5
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    • pp.492-498
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    • 2019
  • The purpose of this study was to develop new food materials by analyzing nutritional components and antioxidant activities of Chenopodium album var. centrorubrum. The highest amount of mineral obtained in C. album was found to be $1.01{\pm}0.07mg$ per 100 g of iron. The total phenolic content in C. album was found to be 3.77~9.57 GAE (gallic acid equivalent) mg/g. The reducing activities of leaves and roots of C. album determined using FRAP (ferric-reducing antioxidant power) were higher in ethanol extracts than water extracts. The ABTS radical scavenging activities of leaves and roots of C. album were $204.29{\pm}4.98{\mu}mol/g$ and $106.96{\pm}2.81{\mu}mol/g$, respectively. The DPPH radical scavenging activity was high upon extraction using ethanol (roots $20.71{\pm}0.04{\mu}mol/g$, leaves $71.08{\pm}0.33{\mu}mol/g$). HDL-cholesterol was significantly higher in the high fat diet groups supplemented with C. album than the control groups (p<0.05). These results suggest that C. album can be used as a natural antioxidant and a functional dietary supplement.

5-bit FLASH A/D Converter Employing Time-interpolation Technique (시간-보간법을 활용한 5-bit FLASH ADC)

  • Nam, Jae-Won;Cho, Young-Kyun
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.124-129
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    • 2021
  • A time-interpolation technique has been applied to the conventional FLASH analog-to-digital converter (ADC) to increase a number of quantization level, thus it reduces not only a power dissipation, but also minimize an active chip area. In this work, we demonstrated 5-bit ADC which has 31 quantization levels consisting of 16 conventional voltage-mode comparators and 15 time-mode comparators. As a result, we have achieved about 48.4% voltage-mode comparator reductions. The ADC is fabricated in a 14nm fin Field-effect transistor (FinFET) process with an active die area of 0.0024 mm2 while consuming 0.82 mW through a 0.8 V supply. At 400-MS/s conversion rate, the ADC performs 28.03 dB SNDR (4.36 ENOB) at 21MHz input frequency.

A Convergence Implementation of Realtime Traffic Shaping and IPS on Small Integrated Security Router for IDC (IDC용 소형 통합보안라우터의 실시간 트래픽쉐이핑과 IPS의 융합 구현)

  • Yang, SeungEui;Park, Kiyoung;Jung, HoeKyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.861-868
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    • 2019
  • Various server-based services such as big data, IoT and artificial intelligence have been made online. As a result, the demand for IDC to support stable server operation is increasing. IDC is a server-based facility with a stable line and power supply facility that manages 20 to 30 servers in an efficiently separated rack-level subnetwork. Here, we need a way to efficiently manage servers security, firewall, and traffic on a rack-by-rack basis. Including traffic shaping capabilities that control routers, firewalls, IPS, and line speeds, as well as VPN technology, a recent interest. If three or five kinds of commercial equipment are adopted to support this, it may be a great burden to the management cost as well as the introduction cost. Therefore, in this paper, we propose a method to implement the five functions in one rack-unit small integrated security router. In particular, IDC intends to integrate traffic shaping and IPS, which are essential technologies, and to propose the utility accordingly.

Development of Embedded Board for Construction of Smart Factory (스마트 팩토리 구축을 위한 임베디드 보드 개발)

  • Lee, Yong-Min;Lee, Won-Bog;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.1092-1095
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    • 2019
  • In this paper, we propose the development of an embedded board for construction of smart factory. The proposed embedded board for construction of smart factory consists of main module, ADC module, I/O module. Main module is a main calculating device which includes communication pard that allows interface with external device with using industrial protocol and is ported operating system makes board operating into. ADC module takes part in transferring digital signal has converted from electrical signal to the main module from the external sensor which is installed on the field. I/O module is an input and output module which transfers to the main module about a status, alarm, command signal of field device and it has a function that blocks external noises from field device with isolation circuit into it. In order to evaluate the performance of the proposed embedded board for construction of smart factory, it has been tested by an authorized testing institute. As a result, quantity of interacting protocol was 5, speed of hardware clock synchronization was under 10us and operating time of battery without source power was over 8 hours. It produced the same result as the world's highest level.

Impact of Disaster Awareness on Government Trust (재난에 대한 인식이 정부신뢰에 미치는 영향)

  • Lee, Youngjin
    • Journal of Korean Society of Disaster and Security
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    • v.13 no.4
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    • pp.47-63
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    • 2020
  • This study aimed to investigate the effects of social disaster risk perception levels of Koreans on government trust. To this end, differences in disaster risk perception levels based on social disaster types and the effects of social disaster risk perception levels on government trust were analyzed. In the preliminary survey, three types of social disasters with high risk levels (bird flu, fine dust, and nuclear power plants) were selected. The survey was conducted on 1,109 Korean men and women aged 20 years and older. First, the analysis results demonstrated that social disaster perception levels differed based on social disaster types. Second, the results showed that, in terms of social disasters, proactivity, personal knowledge, familiarity, severity, fear, and risk associated with chances of recovery did not affect government trust. Third, the perception of delayed social disaster risk had a positive effect on government trust. Fourth, scientific knowledge about social disasters, control capabilities, lethality, and risk perception at the onset time had a negative effect on government trust. In conclusion, the implications and limitations of this study were discussed.

Technical Trends of AI Military Staff to Support Decision-Making of Commanders (지휘관들의 의사결정지원을 위한 AI 군참모 기술동향)

  • Lee, C.E.;Son, J.H.;Park, H.S.;Lee, S.Y.;Park, S.J.;Lee, Y.T.
    • Electronics and Telecommunications Trends
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    • v.36 no.1
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    • pp.89-98
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    • 2021
  • The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

Antioxidant Activities of Eggplant (Solanum melongena) Powder with Different Drying Methods and Addition Levels to Pork Sausages

  • Sembring, Hanna Seprina br;Chin, Koo Bok
    • Food Science of Animal Resources
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    • v.41 no.4
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    • pp.715-730
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    • 2021
  • The objective of this study was to evaluate antioxidant activities of eggplant (EP) powder with different drying methods and addition levels to pork sausages to improve product quality. Antioxidant activities of EP with different drying methods, particle sizes, and solvents of extraction were determined. Freeze dried (FD) EP extracted with 100% ethanol had higher 2,2-diphenyl-1picrylhydrazyl radical-scavenging activities (DPPH-RSA) and total phenolic content (TPC) values than other drying methods. FD500 had the highest iron chelating ability (ICA) value. Oven-dried (OD) EP at 60℃ had the highest reducing power. Dried EP was added to sausages of six groups: control without EP, reference added with ascorbic acid, O1 and O2 added with 0.25% and 0.5% OD EP, respectively, and F1 and F2 added with 0.25% and 0.5% FD EP, respectively. Pork sausages added with O2 had the lowest TBARS and TPC values. These values increased during storage. Purge loss (%), lightness (L*), and redness (a*) values of F2 were lower than those of other groups, whereas sausages containing F2 had the highest yellowness (b*). pH values of sausages added with EP were increased regardless of the level of EP added. Hardness values of F2 were higher. However, there were no significant differences in other textural characteristics. Sausages added with EP had higher moisture and protein contents (%), but lower fat contents (%). These results indicate that EP powder could be used to retard lipid oxidation and inhibit microbial counts during storage time.

The Influence of Infection-related Characteristics and Patient Safety Culture on Awareness of Blood-borne Infection Prevention in Operating Room Nurses and General Ward Nurses (수술실간호사와 병동간호사의 감염관련특성과 환자안전문화가 혈행성 감염예방 인식에 미치는 영향)

  • Jeon, Hae Ok;An, Gyeong Ju;Lee, Jong Hee;Lee, Kyoung Mi
    • Journal of Korean Biological Nursing Science
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    • v.23 no.1
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    • pp.43-54
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    • 2021
  • Purpose: This study aimed to identify the factors influencing infection-related characteristics and patient safety culture on awareness of blood-borne infection prevention between operating room nurses and general ward nurses. Methods: Participants were 198 nurses(operating room nurses 98 and general ward nurses: 100) working at three general hospitals and three university hospitals in three cities. Data were collected using a structured questionnaire from September 11 to October 14, 2020. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson's correlation coefficient, and multiple regression with IBM SPSS/WIN 26.0 program. Results: Typically, 39.8% of nurses in the operating room and 24.0% of ward nurses experienced injuries such as needles and sharp instruments used by the patient. The awareness of patient safety culture was identified to be higher for the ward nurses. Factors influencing the awareness of blood-borne infection prevention in operating room nurses were patient safety culture and wearing protective equipment for infection prevention while nursing infected patients. Moreover, the explanatory power of these variables was 19.4%. In general ward nurses, the patient safety culture was identified as a significant predictor, which accounted for 16.5% of awareness of blood-borne infection prevention. Conclusion: To prevent hospital infection, a strategy is needed to improve the level of awareness of blood-borne infection prevention and patient safety culture of operating room nurses. To this end, the difference in infection-related characteristics and influencing factors between the operating room nurses and the general ward nurses should be considered and planned.

Estimation of two-dimensional position of soybean crop for developing weeding robot (제초로봇 개발을 위한 2차원 콩 작물 위치 자동검출)

  • SooHyun Cho;ChungYeol Lee;HeeJong Jeong;SeungWoo Kang;DaeHyun Lee
    • Journal of Drive and Control
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    • v.20 no.2
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    • pp.15-23
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    • 2023
  • In this study, two-dimensional location of crops for auto weeding was detected using deep learning. To construct a dataset for soybean detection, an image-capturing system was developed using a mono camera and single-board computer and the system was mounted on a weeding robot to collect soybean images. A dataset was constructed by extracting RoI (region of interest) from the raw image and each sample was labeled with soybean and the background for classification learning. The deep learning model consisted of four convolutional layers and was trained with a weakly supervised learning method that can provide object localization only using image-level labeling. Localization of the soybean area can be visualized via CAM and the two-dimensional position of the soybean was estimated by clustering the pixels associated with the soybean area and transforming the pixel coordinates to world coordinates. The actual position, which is determined manually as pixel coordinates in the image was evaluated and performances were 6.6(X-axis), 5.1(Y-axis) and 1.2(X-axis), 2.2(Y-axis) for MSE and RMSE about world coordinates, respectively. From the results, we confirmed that the center position of the soybean area derived through deep learning was sufficient for use in automatic weeding systems.

Quality Characteristics of Muffins with added Dukeum (pan-fired) Ramie Leaf (Boehmeria nivea) Powder using Response Surface Methodology (반응표면분석에 의한 덖음 모시풀잎 가루 첨가 머핀의 품질특성)

  • Lee, Yu-Jin;Woo, Koan-Sik;Jeong, Heon-Sang;Kim, Woon-Ju
    • Journal of the Korean Society of Food Culture
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    • v.25 no.6
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    • pp.810-819
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    • 2010
  • The objective of this study was to produce muffins with added dukeum ramie leaf powder and to compare them to a control. We used two different optimal composition ratios to produce muffins. The physical and sensory characters were varied by changing the ratio of dukeum ramie leaf powder, butter, and sugar to identify a critical value using response surface regression analysis. The ranges for the added dukeum ramie leaf powder, sugar, and butter were 15-35, 60-100, and 60-100 g, respectively. Muffins with added dukeum ramie leaves had comparable mineral and antioxidant vitamin compositions to those of dried ramie leaves. Muffins with added dukeum ramie leaf powder satisfied the suitability of the model, showing a p-value within 5% of significance level (p<0.05) for every aspect Volume and height differed without any association to ingredients. Lightness increased when less dukeum ramie leaf powder was added with more butter and sugar, redness increased when more dukeum ramie leaf powder and sugar were added with 70-80 g of butter, whereas yellowness increased when less dukeum ramie powder was added. Texture and toughness increased when less dukeum ramie leaf powder was added. The degree of gumminess and chewiness depended hugely on the amount of sugar. Cohesiveness, decreased with more dukeum ramie leaf powder and butter, whereas hardness increased with a medium range of ingredients. Sensory character increased with less dukeum ramie powder, and overall quality increased with more butter and sugar, but depended on the amount of added dukeum ramie power. The critical values from the sensory characteristics showed that 27 g of dukeum ramie powder, 72 g of sugar, and 86 g of butter was optimum.