• International Journal of Automotive Technology
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• 제3권1호
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• pp.41-46
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• 2002

Effect of secondary air injection (SAI) on hydrocarbon reduction has been investigated in a single cylinder Sl engine operating at cold-steady/cold-start conditions. The hydrocarbon emission and exhaust gas temperature with and without catalytic converter were compared with continuous and synchronized SAIs, which injected secondary air intermittently into exhaust port. Effects of SAI location, SAI pressure, SAI timing, and location of catalytic converter have been investigated and the results are compared for both SAls with base condition. At cold-steady condition, the rate of HC reduction increased as the location of SAI was closer to the exhaust valve for both synchronized and continuous SAls. The emission of HC decreased with increasing exhaust-A/F when it was rich, and was relatively insensitive when it was lean. The timing of SAI in synchronized SAI had significant effect on HC reduction and exhaust gas temperature and the synchronized SAI was found to be more effective in HC reduction and exhaust gas temperature compared to the continuous SAI . At cold-start condition, when the catalytic converter was located 20 cm downstream from the exhaust port exit, the catalytic converter warm-up period for both SAls decreased by about 50%, and the accumulated hydrocarbon emission during the first 120 s decreased about by 56% and 22% with the synchronized and continuous SAIs, respectively, compared to that of the base condition.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 추계학술대회논문집
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• pp.330-335
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• 2000

This paper deals with sensing ability of smart sensor that has a sensing ability of distinguish materials. We have developed new signal processing method that have distinguish different materials. We made the two type of smart sensors for experiment. The first type of smart sensor is H2 type. The second type of smart sensor is HH type. The smart sensor was developed for recognition of material. And then we developed estimation method of sensing ability of smart sensors. The first method(Sensing Ability Index) is developed for H2 smart sensor. The second method($R_{SAI}$ Index) is developed for HH smart sensor. We estimated sensing ability of smart sensor with new SAI and $R_{SAI}$ method. This paper describes our primary study for a new method of estimate sensing ability of smart sensor, which is need for precision work system. This is a study of dynamic characteristics of smart sensor according to frequency and displacement changing with new SAI and $R_{SAI}$ method. Experiment and analysis are executed for proper dynamic sensing condition. First, we developed advanced smart sensors. Second, we develop new SAI and $R_{SAI}$ methods that have a sensing ability of distinguish materials. Dynamic characteristics of smart sensor are evaluated through new SAI and $R_{SAI}$ method relatively. We can use the new SAI and $R_{SAI}$ method for finding materials. Applications of this method are finding abnormal condition of object(auto-manufacturing), feeling of object(medical product), robotics, safety diagnosis of structure, etc.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.179-184
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• 2021

In our study we performed a sentiments analysis from the images. For this purpose, we used 153 images that contain: people, animals, buildings, landscapes, cakes and objects that we divided into two categories: images that suggesting a positive or a negative emotion. In order to classify the images using the two categories, we created two models. The SAI-G model was created with Google's AutoML Vision service. The SAI-C model was created on the Clarifai platform. The data were labeled in a preprocessing stage, and for the SAI-C model we created the concepts POSITIVE (POZITIV) AND NEGATIVE (NEGATIV). In order to evaluate the performances of the two models, we used a series of evaluation metrics such as: Precision, Recall, ROC (Receiver Operating Characteristic) curve, Precision-Recall curve, Confusion Matrix, Accuracy Score and Average precision. Precision and Recall for the SAI-G model is 0.875, at a confidence threshold of 0.5, while for the SAI-C model we obtained much lower scores, respectively Precision = 0.727 and Recall = 0.571 for the same confidence threshold. The results indicate a lower classification performance of the SAI-C model compared to the SAI-G model. The exception is the value of Precision for the POSITIVE concept, which is 1,000.

• 한국심리학회지:법
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• 제11권1호
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• pp.1-20
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• 2020

수사 장면에서 피해자 및 목격자들은 사건 목격 이후 다양한 오정보에 노출될 뿐만 아니라 장기간의 시간 지연 후 진술할 가능성이 높다. 본 연구는 정확 회상을 저해할 수 있는 시간 지연 및 오정보의 영향을 감소시키고 정확 회상 보고량을 증진시키는 방안을 고안하기 위해 진행되었다. 따라서 목격자 진술을 빠르고 정확하게 확보하는데 도움이 된다고 알려진 자기기입식 면담(Self-Administered Interview, SAI)을 수행한 집단이 SAI를 수행하지 않은 통제 집단보다 정보를 더 많이 보고하는지, 또 SAI를 통해 오정보 및 시간 지연의 영향을 받지 않고 정확 정보가 유지되는지 알아보고자 하였다. 88명의 20대 성인을 대상으로 범죄를 재연한 영상을 보여준 후 SAI나 통제 과제(게임)를 수행하도록 하였으며, 오정보를 목격 당일(1회기), 혹은 4주 후(2회기)에 제시하여 4주 후 회상량에 영향을 주는지 검증했다. 그 결과 SAI를 실시한 집단이 통제 집단보다 4주의 지연 이후 실시된 2회기의 검사에서 정확 정보를 더 많이 보고하였으며, 부정확 정보 및 작화 정보 보고량에는 차이가 없는 것으로 나타났다. 오정보의 제시 시점은 회상량에 영향을 주지 않았다. 이러한 결과는 사건을 목격한 직후 SAI를 실시하는 것이 장기간의 시간 지연에서 기억 정보를 보호할 수 있음을 시사한다. 마지막으로 연구의 의의 및 제한점, 그리고 후속 연구를 위한 제언을 논의하였다.

• 한국자동차공학회논문집
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• 제9권2호
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• pp.67-74
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• 2001

A synchronized secondaty air injection method has been developed to hydrocarbon emission by injecting secondary air intermittently into exhaust port. The method has been tested in a single cylinder spark-ignition engine operating at cold-steady / cold-start conditions. Effects of air injection timing, intake pressure and engine air-fuel ratio have been investigated at cold-steady condition. Also, hydrocarbon emission and exhaust gas temperature with catalytic conberter are compared with a continuous SAI method and base condition at cold-start condition. Resules show that hydrocarbon reduction rate and exhaust gas temperature are sensitive to the timing of synchronized SAI. At cold-steady condition, HC emission is minimum at engine air-fuel ratio of 10. At cold-start condition, the accumulated hydrocarbon emission during the first 120 s decreases about 56% and 22% with the synchronized and continuous SAI, respectively, compared to that of base condition.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2000년도 제17회 하계학술발표회 논문집
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• pp.211-241
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• 2000

This study explores building process of innovative capability through overseas direct investment (ODI) by taking the camera business of Samsung Aerospace Industry (SAI) as a case. SAI with less than 20 years history has pursued an aggressive ODI and developed its own camera models. It acquired Rollei in Germany and Union in Japan in 1995, for acquiring advanced technology. Several factors leading to the success of SAI's innovative cability building were taken into consideration. First, SAI effectively absorbed technological knowledge by exchanging technical personnel with foreign partners. Second, it chose right partners with the complementary knowledge required for advancing its technological capability. Third, it strengthened its competrnce to satisfy the technical standards of the partner dompanies in OEM trade relations. Fourth, it successfully formed a global marketing network in which subsidiary companies plays a central role in each region. Finally, SAI successfully addressed the factors of mutual respect between partners in order to let its partners to be confident in their ventures.

• 기술혁신연구
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• 제8권2호
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• pp.145-170
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• 2000

This study explores the building process of innovative capability through overseas direct investment (ODI) by taking the camera business of Samsung Aerospace Industry (SAI) as a case. SAI with less than 20 years history has pursued an aggressive ODI and developed its own camera models. It acquired Rollei in Germany and Union in Japan in 1995, for acquiring advanced technology. Several factors leading to the success of SAI's innovative capability building were taken into consideration. Fists, SAI effectively absorbed technological knowledge by exchanging technical personnel with foreign partners. Second, it chose right partners with the complementary knowledge required for advancing its technological capability. Third, it strengthened its competence to satisfy the technical standards of the partner companies in OEM trade relations. Fourth, ti successfully formed a global marketing network in which subsidiary companies plays a central role in each region. Finally, SAI successfully addressed the factors of mutual respect between partners in order to let its partners to be confident in their ventures.

• 한국자동차공학회논문집
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• 제18권5호
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• pp.31-36
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• 2010

SAI(Secondary Air Injection) system has been studied widely as one of the promising countermeasure for reducing HC emission at cold start. In this paper, in order to find out the optimal position of SAI, computational thermal fluid analysis on exhaust system adapted SAI system is performed using commercial 3-D CFD code, CFX. The present results showed that SAI position strongly affected the uniformity of air distribution in front of catalyst. And also through the decision process of optimal position of SAI, new index, uniformity of air distribution($U_{\phi}$) is proposed to define it quantitively. Because $U_{\phi}$ is very simple equation and similar with flow uniformity, it is very easy to figure out the physical meaning and to apply it to practices. Finally, we applied the index $U_{\phi}$ to the decision process of the optimal position of SAI, so that we could get the clear comparison results.

• Asian Pacific Journal of Cancer Prevention
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• 제16권1호
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• pp.299-301
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• 2015

Objectives: To assess safety and efficacy of JiSaiXin (Recombinant Human Granulocyte Colony Stimulating Factor Injection manufactured in China, G-CSF) 150ug per day for three days and whether this regimen could reduce the incidence of febrile neutropenia caused by chemotherapy. Method: From July 2014 to December 2014 patients treated by chemotherapy in our hospital were randomly divided into two groups: Group A with prophylactic use of G-CSF (JiSaiXin) 24 hours after chemotherapy for consecutive 3 days; and Group B with G-CSF (JiSaiXin) after neutropenia. Routine blood tests were performed 7 days and 14 days after chemotherapy. Results: A total of 100 patients fulfilled study criteria, and the incidence of severe neutropenia (grade III/IV) and the incidence of febrile neutropenia in Group A were lower than those in Group B. Nine patients were found severe neutropenia (grade III/IV) in Group B, but one in Group A, three febrile neutropenia in Group B, but 0 in Group A. Conclusions: This study suggested that prophylactic use of G-CSF (JiSaiXin) 150ug per day 24 hours after chemotherapy for consecutive 3 days is safe and could be effective for preventing febrile neutropenia in patients with chemotherapy.

• 한국공작기계학회논문집
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• 제15권2호
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• pp.99-106
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• 2006

In this paper, the new method that estimates a sensing ability of smart sensor will be proposed. A study is estimation method that evaluates sensing ability about smart sensor respectively. According to acceleration(g) and displacement changing, we estimated sensing ability of smart sensor using SAI(Sensing Ability Index) method respectively. Smart sensors was made fer experiment. The types of smart sensor are two types(hard and soft smart sensor). Smart sensors developed for recognition of material. Experiment and analysis are executed for estimate the SAI method. In develop a smart sensor, the SAI method will be useful for finding optical design condition of smart sensor that can sense a material. And then dynamic characteristics of smart sensors(frequency changing, acceleration changing, critical point, etc.) are evaluated respectively through new method(SAI) that use the power spectrum density. Dynamic characteristic of sensor is evaluated with SAI method relatively. We can use the SAI for finding critical point of smart sensor, too.