• Title/Summary/Keyword: success rate curve

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The Relationship between the Type of New Product Idea Sources and the Rate of Success of NEW Product Development and Commercialization (신제품 아이디어 창출유형과 개발 및 사업화 성패에 관한 연구)

  • 홍종원;용세중
    • Journal of Technology Innovation
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    • v.2 no.1
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    • pp.219-241
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    • 1994
  • This paper presents the results of an empirical study on the relationship between the type of new product idea sources and the rate of success of new product development and commercialization in Korean industries. The sample was taken from various Korean industries including telecommunication, electronics, chemical, machinery, textile, etc. and composed of 45 failure and 73 success cases. The findings are not much different from those of previous studies done in the developed countries, but show some typical characteristics of new product development activities and the idea sources, information acquisition methods, type of information , incentives for idea generation, etc. of the firms in developing country like Korea. Especially the survival rate curve and the accumulative investment curve from the idea generation to commercialization phase show a little different behavior from the previous study, which also reflect the manpower, duration of each phase of the new product development process in the Korean firms.

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Estimation of Software Project Success and Completion Rate Using Gompertz Growth Function (Gompertz 성장곡선을 이용한 소프트웨어 프로젝트의 개발 성공률과 완료율 추정)

  • Lee, Sang-Un
    • The KIPS Transactions:PartD
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    • v.13D no.5 s.108
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    • pp.709-716
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    • 2006
  • As the software complexity increases, the development success rate decreases and failure rate increases exponentially. The failure rate related to the software size can be described by a growth function. Based on this phenomenon, this paper estimates the development success and completion rate using the Gompertz growth function. At first, we transformed a software size of numerically suggested $10^n$ into a logarithm and kept the data interval constantly. We tried to derive a functional relationship between the development success rate and the completion rate according to the change of logarithmic software size. However, we could not find a function which can represent this relationship. Therefore, we introduced the failure rate and the cancel rate which are inverse to the development success rate and completion rate, respectively. Then, we indicated the relation between development failure rate and cancel rate based on the change of software size, as a type of growth function. Finally, as we made the Gompertz growth function with the function which describes the cancel rate and the failure rate properly. We could express the actual data suitably. When you apply the growth function model that I suggested, you will be able to get the success rate and completion rate of particular site of software very accurately.

Life Risk Assessment of Landslide Disaster in Jinbu Area Using Logistic Regression Model (로지스틱 회귀분석모델을 활용한 평창군 진부 지역의 산사태 재해의 인명 위험 평가)

  • Rahnuma, Bintae Rashid Urmi;Al, Mamun;Jang, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.27 no.2
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    • pp.65-80
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    • 2020
  • This paper deals with risk assessment of life in a landslide-prone area by a GIS-based modeling method. Landslide susceptibility maps can provide a probability of landslide prone areas to mitigate or proper control this problems and to take any development plan and disaster management. A landslide inventory map of the study area was prepared based on past historical information and aerial photography analysis. A total of 550 landslides have been counted at the whole study area. The extracted landslides were randomly selected and divided into two different groups, 50% of the landslides were used for model calibration and the other were used for validation purpose. Eleven causative factors (continuous and thematic) such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in hazard analysis. The correlation between landslides and these factors, pixels were divided into several classes and frequency ratio was also extracted. Eventually, a landslide susceptibility map was constructed using a logistic regression model based on entire events. Moreover, the landslide susceptibility map was plotted with a receiver operating characteristic (ROC) curve and calculated the area under the curve (AUC) and tried to extract a success rate curve. Based on the results, logistic regression produced an 85.18% accuracy, so we believed that the model was reliable and acceptable for the landslide susceptibility analysis on the study area. In addition, for risk assessment, vulnerability scale were added for social thematic data layer. The study area predictive landslide affected pixels 2,000 and 5,000 were also calculated for making a probability table. In final calculation, the 2,000 predictive landslide affected pixels were assumed to run. The total population causalities were estimated as 7.75 person that was relatively close to the actual number published in Korean Annual Disaster Report, 2006.

A Study on Furrow Autonomous Steering using Furrow Recognition Sensor Module (고랑인식 센서 모듈을 이용한 밭고랑 자율조향에 대한 연구)

  • Cho, Yongjun;Park, Kwanhyung;Yun, Haeyong;Hong, Hyunggil;Oh, Jangseok;Kang, Minsu;Jang, Sunho;Seo, Kabho;Lee, Youngtae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.9
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    • pp.92-97
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    • 2022
  • In this paper, as a research on autonomous steering for agriculture, a sensor module for furrow recognition was developed through a low-cost distance sensor combination. The developed sensor module was applied to the vehicle, and when driving in a furrow curve, the autonomous steering success rate was 100% at a curvature of 20 m or more, and 70% at a curvature of 15 m or less. The self-steering success rate according to the ground condition showed a 100% success rate regardless of soil, weeds, or mulching film.

Detection of Lane Curve Direction by Using Image Processing Based on Neural Network (차선의 회전 방향 인식을 위한 신경회로망 응용 화상처리)

  • 박종웅;장경영;이준웅
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.5
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    • pp.178-185
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    • 1999
  • Recently, Collision Warning System is developed to improve vehicle safety. This system chiefly uses radar. But the detected vehicle from radar must be decide whether it is the vehicle in the same lane of my vehicle or not. Therefore, Vision System is needed to detect traffic lane. As a preparative step, this study presents the development of algorithm to recognize traffic lane curve direction. That is, the Neural Network that can recognize traffic lane curve direction is constructed by using the information of short distance, middle distance, and decline of traffic lane. For this procedure, the relation between used information and traffic lane curve direction must be analyzed. As the result of application to sampled 2,000 frames, the rate of success is over 90%.t text here.

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Learning fiberoptic intubation for awake nasotracheal intubation

  • Kim, Hyuk;So, Eunsun;Karm, Myong-Hwan;Kim, Hyun Jeong;Seo, Kwang-Suk
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.17 no.4
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    • pp.297-305
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    • 2017
  • Background: Fiberoptic nasotracheal intubation (FNI) is performed if it is difficult to open the mouth or if intubation using laryngoscope is expected to be difficult. However, training is necessary because intubation performed by inexperienced operators leads to complications. Methods: Every resident performed intubation in 40 patients. Success of FNI was evaluated as the time of FNI. First intubation time was restricted to 2 min 30 s. If the second attempt was unsuccessful, it was considered a failed case, and a specialist performed nasotracheal intubation. If the general method of intubation was expected to be difficult, awake intubation was performed. The degree of nasal bleeding during intubation was also evaluated. Results: The mean age of the operators (11 men, 7 women) was 27.8 years. FNI was performed in a total of 716 patients. The success rate was 88.3% for the first attempt and 94.6% for the second attempt. The failure rate of intubation in anesthetized patients was 4.9%, and 13.6% in awake patients. When intubation was performed in anesthetized patients, the failure rate from the first to fifth trial was 9.6%, which decreased to 0.7% when the number of trials increased to > 30 times. In terms of awake intubation, there was no failed attempt when the resident had performed the FNI > 30 times. The number of FNIs performed and nasal bleeding were important factors influencing the failure rate. Conclusion: The success rate of FNI increased as the number of FNI performed by residents increased despite the nasal bleeding.

Risk factors affecting the difficulty of fiberoptic nasotracheal intubation

  • Rhee, Seung-Hyun;Yun, Hye Joo;Kim, Jieun;Karm, Myong-Hwan;Ryoo, Seung-Hwa;Kim, Hyun Jeong;Seo, Kwang-Suk
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.20 no.5
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    • pp.293-301
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    • 2020
  • Background: The success rate of intubation under direct laryngoscopy is greatly influenced by laryngoscopic grade using the Cormack-Lehane classification. However, it is not known whether grade under direct laryngoscopy can also affects the success rate of nasotracheal intubation using a fiberoptic bronchoscpe, so this study investigated the same. In addition, we investigated other factors that influence the success rate of fiberoptic nasotracheal intubation (FNI). Methods: FNI was performed by 18 anesthesiology residents under general anesthesia in patients over 15 years of age who underwent elective oral and maxillofacial operations. In all patients, the Mallampati grade was measured. Laryngeal view grade under direct laryngoscopy, and the degree of secretion and bleeding in the oral cavity was measured and divided into 3 grades. The time required for successful FNI was measured. If the intubation time was > 5 minutes, it was evaluated as a failure and the airway was managed by another method. The failure rate was evaluated using appropriate statistical method. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were also measured. Results: A total of 650 patients were included in the study, and the failure rate of FNI was 4.5%. The patient's sex, age, height, weight, Mallampati, and laryngoscopic view grade did not affect the success rate of FNI (P > 0.05). BMI, the number of FNI performed by residents (P = 0.03), secretion (P < 0.001), and bleeding (P < 0.001) grades influenced the success rate. The AUCs of bleeding and secretion were 0.864 and 0.798, respectively, but the AUC of BMI, the number of FNI performed by residents, Mallampati, and laryngoscopic view grade were 0.527, 0.616, 0.614, and 0.544, respectively. Conclusion: Unlike in intubation under direct laryngoscopy, in the case of FNI, oral secretion and nasal bleeding had a significant effect on FNI difficulty than Mallampati grade or Laryngeal view grade.

Wedge Shape Cage in Posterior Lumbar Interbody Fusion : Focusing on Changes of Lordotic Curve

  • Kim, Joon-Seok;Oh, Seong-Hoon;Kim, Sung-Bum;Yi, Hyeong-Joong;Ko, Yong;Kim, Young-Soo
    • Journal of Korean Neurosurgical Society
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    • v.38 no.4
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    • pp.255-258
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    • 2005
  • Objective : Lumbar lordotic curve on L4 to S1 level is important in maintaining spinal sagittal alignment. Although there has been no definite report in lordotic value, loss of lumbar lordotic curve may lead to pathologic change especially in degenerative lumbar disease. This study examines the changes of lumbar lordotic curve after posterior lumbar interbody fusion with wedge shape cage. Methods : We studied 45patients who had undergone posterior lumbar interbody fusion with wedge shape cage and screw fixation due to degenerative lumbar disease. Preoperative and postoperative lateral radiographs were taken and one independent observer measured the change of lordotic curve and height of intervertebral space where cages were placed. Segmental lordotic curve angle was measured by Cobb method. Height of intervertebral space was measured by averaging the sum of anterior, posterior, and midpoint interbody distance. Clinical outcome was assessed on Prolo scale at 1month of postoperative period. Results : Nineteen paired wedge shape cages were placed on L4-5 level and 6 paired same cages were inserted on L5-S1 level. Among them, 18patients showed increased segmental lordotic curve angle. Mean increased segmental lordotic curve angle after placing the wedge shape cages was $1.96^{\circ}$. Mean increased disc height was 3.21mm. No cases showed retropulsion of cage. The clinical success rate on Prolo's scale was 92.0%. Conclusion : Posterior lumbar interbody fusion with wedge shape cage provides increased lordotic curve, increased height of intervertebral space, and satisfactory clinical outcome in a short-term period.

Development of an Automatic Wrapping System for Long Type Fruit-Vegetable (장방형 과채류 자동 랩핑기 개발)

  • 성시흥;이대원
    • Journal of Bio-Environment Control
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    • v.8 no.4
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    • pp.250-256
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    • 1999
  • A wrapped fruit-vegetable can restrain from evaporating its water, help to be supplied with a little fresh air, prevent from injuring and damaging during transporting to other positions. Therefore, this study was carried out to develop an automatic wrapping system specifically tailored to pack up from one to four numbers of long type fruit-vegetable in wrap foil. Performance tests of the system were conducted by using three different kinds of fruit-vegetable (cucumber, eggplant, Pumpkin) to determine the success wrapping rate. Each fruit-vegetable is divided into two grades such as A grade and B grade. B grade is more bended curve than A grade. The success wrapping rate of eggplant was 100% regardless of the grade and the number of fruit-vegetable. and also that of cucumber was 100% all but packing 4 numbers of B grade. However, that of pumpkin was 45%, As the number and the bended degree of pumpkin was increased, the success wrapping rate of pumpkin was decreased, because the surface area or the bended degree were increased.

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Landslide susceptibility mapping using Logistic Regression and Fuzzy Set model at the Boeun Area, Korea (로지스틱 회귀분석과 퍼지 기법을 이용한 산사태 취약성 지도작성: 보은군을 대상으로)

  • Al-Mamun, Al-Mamun;JANG, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.23 no.2
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    • pp.109-125
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    • 2016
  • This study aims to identify the landslide susceptible zones of Boeun area and provide reliable landslide susceptibility maps by applying different modeling methods. Aerial photographs and field survey on the Boeun area identified landslide inventory map that consists of 388 landslide locations. A total ofseven landslide causative factors (elevation, slope angle, slope aspect, geology, soil, forest and land-use) were extracted from the database and then converted into raster. Landslide causative factors were provided to investigate about the spatial relationship between each factor and landslide occurrence by using fuzzy set and logistic regression model. Fuzzy membership value and logistic regression coefficient were employed to determine each factor's rating for landslide susceptibility mapping. Then, the landslide susceptibility maps were compared and validated by cross validation technique. In the cross validation process, 50% of observed landslides were selected randomly by Excel and two success rate curves (SRC) were generated for each landslide susceptibility map. The result demonstrates the 84.34% and 83.29% accuracy ratio for logistic regression model and fuzzy set model respectively. It means that both models were very reliable and reasonable methods for landslide susceptibility analysis.