• Title/Summary/Keyword: target quality

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Coating System for High Quality Ferromagnetic Thin Films (고품위 자성체 박막 코팅 시스템)

  • Kim, Gi-Bum;Hwang, Yoon-Sik;Kim, Yeong-Shik;Park, Jang-Sick;Park, Jae-Bum
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.11a
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    • pp.231-232
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    • 2007
  • Nickel oxide thin films were deposited by the DC magnetron reactive sputtering process under the conditions such as various oxygen flow rates(0, 3, 6, 8, 10 sccm) with constant 33 sccm argon flow rate for the sputtering time of 40 second with the power of 0.3 kW. Sheet resistances were measured by the four point probes. In order to observe discharge voltage characteristics according to the oxygen flow rates, the sputtering processes were performed under the powers of 0.2kW and 0.3kW. The feasibility of the coating system for high quality ferromagnetic thin films was tested through the electromagnetic simulation and the thin film thickness measurement from the experiment. It was shown that a discharge voltage was decreased under the low power and low oxygen flow rate, since the oxygen was quickly saturated on nickel target surface. The sheet resistance was increased as oxygen flow rate increased. The film thickness deposited by the coating system for ferromagnetic target was improved approximately 10% in comparison with previous coating systems.

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Utility-based Rate Allocation Scheme for Mobile Video Streaming over Femtocell Networks

  • Quan, Shan Guo;Xu, Jian;Kim, Young-Yong
    • Journal of Information Processing Systems
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    • v.5 no.3
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    • pp.151-158
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    • 2009
  • This paper proposes a utility-based data rate allocation algorithm to provide high-quality mobile video streaming over femtocell networks. We first derive a utility function to calculate the optimal data rates for maximizing the aggregate utilities of all mobile users in the femtocell. The total sum of optimal data rates is limited by the link capacity of the backhaul connections. Furthermore, electromagnetic cross-talk poses a serious problem for the backhaul connections, and its influence passes on to mobile users, as well as causing data rate degradation in the femtocell networks. We also have studied a fixed margin iterative water-filling algorithm to achieve the target data rate of each backhaul connection as a counter-measure to the cross-talk problem. The results of our simulation show that the algorithm is capable of minimizing the transmission power of backhaul connections while guaranteeing a high overall quality of service for all users of the same binder. In particular, it can provide the target data rate required to maximize user satisfaction with the mobile video streaming service over the femtocell networks.

Analysis of Scatter Ray Distribution Using GEANT4-GATE Simulation and Effectiveness of Silicone Pad in Digital Mammography (디지털유방촬영에서 Geant4-GATE를 이용한 산란선의 영향분석과 감소방안에 관한 연구)

  • Kim, Myeong-soo;Kim, Young-kuen;Jang, Young-Il
    • Journal of radiological science and technology
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    • v.42 no.3
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    • pp.175-180
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    • 2019
  • In this study, we have researched the effectiveness of silicone pad. A distribution of scatter ray in mammography was evaluated using Monte-Carlo (MC) simulation technique and then a silicone pad was applied to remove the scatter ray for improving image quality. Molybdenum target and Molybdenum filter combination made a difference of 59.8% to a number of photon at 17.5 keV. On the other hand, Tungsten target and Rhodium filter showed a variation of 24.5% at 20 keV. Mean 68 of SNR was increased in Selenia and mean 1.04 of SNR was raised in Senographe. Silicone pad was significantly effective to reduce the scatter ray that was generated by primary X-ray. It can decrease an absorption rate of scatter ray to patient body and whilst it improve the image quality from increasing SNR.

Resource Allocation Strategy of Internet of Vehicles Using Reinforcement Learning

  • Xi, Hongqi;Sun, Huijuan
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.443-456
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    • 2022
  • An efficient and reasonable resource allocation strategy can greatly improve the service quality of Internet of Vehicles (IoV). However, most of the current allocation methods have overestimation problem, and it is difficult to provide high-performance IoV network services. To solve this problem, this paper proposes a network resource allocation strategy based on deep learning network model DDQN. Firstly, the method implements the refined modeling of IoV model, including communication model, user layer computing model, edge layer offloading model, mobile model, etc., similar to the actual complex IoV application scenario. Then, the DDQN network model is used to calculate and solve the mathematical model of resource allocation. By decoupling the selection of target Q value action and the calculation of target Q value, the phenomenon of overestimation is avoided. It can provide higher-quality network services and ensure superior computing and processing performance in actual complex scenarios. Finally, simulation results show that the proposed method can maintain the network delay within 65 ms and show excellent network performance in high concurrency and complex scenes with task data volume of 500 kbits.

Oncological Treatment of Advanced Gastric Cancer (진행성 위암의 항암 약물 요법에 대하여)

  • Hee Seok Moon;Hyun Yong Jeong
    • Journal of Digestive Cancer Research
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    • v.6 no.1
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    • pp.16-24
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    • 2018
  • Gastric cancer is not a single, uniform disease, but rather heterogeneous in nature. It is generally not possible to cure patients with inoperable advanced or metastatic stomach cancer. In the absence of chemotherapy, the median survival time is 3 to 6 months. Therefore, several studies have confirmed the superiority of chemotherapy to the best supportive treatment, in terms of improving the quality of life and prolonging life. Various chemotherapies have been used in the past to treat advanced gastric cancer. Recently, various target therapies and immunotherapy have been introduced. However, compared to other malignancies, the quality of life and life expectancy remain relatively poor in patients with gastric cancer. We expect to overcome these difficulties in the future, with better elucidation of the molecular biology of gastric cancer.

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A Study on the Best Applicationsof Infra-Red(IR) Sensors Mounted on the Unmanned Aerial Vehicles(UAV) in Agricultural Crops Field (무인기 탑재 열화상(IR) 센서의 농작물 대상 최적 활용 방안 연구)

  • Ho-Woong Shon;Tae-Hoon Kim;Hee-Woo Lee
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1073-1082
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    • 2023
  • Thermal sensors, also called thermal infrared wavelength sensors, measure temperature based on the intensity of infrared signals that reach the sensor. The infrared signals recognized by the sensor include infrared wavelength(0.7~3.0㎛) and radiant infrared wavelength(3.0~100㎛). Infrared(IR) wavelengths are divided into five bands: near infrared(NIR), shortwave infrared(SWIR), midwave infrared(MWIR), longwave infrared(LWIR), and far infrared(FIR). Most thermal sensors use the LWIR to capture images. Thermal sensors measure the temperature of the target in a non-contact manner, and the data can be affected by the sensor's viewing angle between the target and the sensor, the amount of atmospheric water vapor (humidity), air temperature, and ground conditions. In this study, the characteristics of three thermal imaging sensor models that are widely used for observation using unmanned aerial vehicles were evaluated, and the optimal application field was determined.

Water Quality Prediction and Forecast of Pollution Source in Milyanggang Mid-watershed each Reduction Scenario (밀양강 중권역 오염부하 전망 및 삭감 시나리오별 하류 수질예측)

  • Yu, Jae-Jeong;Yoon, Young-Sam;Shin, Suk-Ho;Kwon, Hun-Gak;Yoon, Jong-Su;Jeon, Young-In;Kang, Doo-Kee;Kal, Byung-Seok
    • Journal of Environmental Science International
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    • v.20 no.5
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    • pp.589-598
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    • 2011
  • Milyanggang mid-watershed is located in downstream of Nakdong river basin. The pollutants from that watershed have an direct effect on Nakdong river water quality and it's control is important to manage a water quality of Nakdong river. A target year of Milyanggang mid-watershed water environment management plan is 2013. To predict a water quality at downstream of Milyang river, we have investigated and forecasted the pollutant source and it's loading. There are some plan to construction the sewage treatment plants to improve the water quality of Milyang river. Those are considered on predicting water quality. As results, it is shown that the population of Milyanggang mid-watershed is 131,857 and sewerage supply rate is 62.2% and the livestock is 1,775.300 in 2006. It is estimated that the population is 123,921, the sewerage supply rate is 75.5% in 2013. The generated loading of BOD and TP is 40,735 kg/day and 2,872 kg/day in 2006 and discharged loading is 11,818 kg/day and 722 kg/day in 2006 respectively. Discharged loadings were forecasted upward 1.0% of BOD and downward 2.7% of TP by 2013. The results of water quality prediction of Milyanggang 3 site were 1.6 mg/L of BOD and 0.120 mg/L of TP in 2013. It is over the target water quality at that site in 2015 about 6.7% and 20.0% respectively. Consequently, there need another counterplan to reduce the pollutants in that mid-watershed by 2015.

Optimization of Multiple Quality Characteristics for Polyether Ether Ketone Injection Molding Process

  • Kuo Chung-Feng Jeffrey;Su Te-Li
    • Fibers and Polymers
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    • v.7 no.4
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    • pp.404-413
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    • 2006
  • This study examines multiple quality optimization of the injection molding for Polyether Ether Ketone (PEEK). It also looks into the dimensional deviation and strength of screws that are reduced and improved for the molding quality, respectively. This study applies the Taguchi method to cut down on the number of experiments and combines grey relational analysis to determine the optimal processing parameters for multiple quality characteristics. The quality characteristics of this experiment are the screws' outer diameter, tensile strength and twisting strength. First, one should determine the processing parameters that may affect the injection molding with the $L_{18}(2^1{\times}3^7)$ orthogonal, including mold temperature, pre-plasticity amount, injection pressure, injection speed, screw speed, packing pressure, packing time and cooling time. Then, the grey relational analysis, whose response table and response graph indicate the optimum processing parameters for multiple quality characteristics, is applied to resolve this drawback. The Taguchi method only takes a single quality characteristic into consideration. Finally, a processing parameter prediction system is established by using the back-propagation neural network. The percentage errors all fall within 2%, between the predicted values and the target values. This reveals that the prediction system established in this study produces excellent results.

An Application of Qualitative Preference to Software Quality Evaluation (소프트웨어 품질평가를 위한 정성적 선호이론의 적용)

  • 이종무;정호원
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.3
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    • pp.109-124
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    • 2000
  • For rational human value judgement and evaluation, provision of clear evaluation data, objective value judgement criteria, and properly generalized methods are required. For instance, this is true for software quality evaluation, and the measure of software quality and the weighting method of evaluation target directly affect final decisions. However it is not easy to find a generalized method for the software quality evaluation or product selection, because of its complex characteristics. In this paper, we apply the qualitative preference method based on quantitative belief functions to find a general weighing method for the software quality evaluation. In particular, the qualitative preference method, in which the differentiated preference expression is possible, is conceptually expanded for general applications in future. For this purpose, we hierarchically differentiate the strong preference relation from the weak preference relation, and show an example of quantification of software quality evaluation on different applications, by comparing the qualitative preference method with AHP. We believe that the application domain of this method is not limited to the software quality evaluation and it is very useful to apply this results to other SE areas, e.g., metric selection with different views and riority determination of practices to be assessed in the SPICE.

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Affective quality improving method for service fields by analysing customers' affective sensory responses (감성적 감각반응 분석을 통한 서비스 감성품질 제고 방법)

  • Choe, Jaeho;Park, Sungjoon
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.897-906
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    • 2016
  • Purpose: The purpose of this study was to propose the useful method to improve service affective quality by analyzing customer's service experiences and evaluating the satisfaction of the affective sensual responses to physical stimulus. Methods: While customers were experiencing the service, the customers evaluated the subjective satisfaction for the visual, auditory, tactile, olfactory and gustatory senses on a scale of -3 to 3 at each stage of the service process. The customers described the positive and negative feelings about each sensory stimulus, and explained the reason for the subjective evaluation scores. After experiencing the whole service, customers evaluated the affective quality of the whole service. Results: The proposed method was applied to coffee shops. 35 male and female college students were evaluated for 15 coffee shops in Korea. Multiple regression analysis revealed that auditory and olfactory senses had a greater impact on service affective satisfaction than other senses. Conclusion: This method is useful to identify the factors that affect customer's affective quality and to find the target to improve physical environment more easily than existing methods.