• Title/Summary/Keyword: Diagnose

Search Result 2,899, Processing Time 0.027 seconds

Fault Diagnosis of PV String Using Deep-Learning and I-V Curves (딥러닝과 I-V 곡선을 이용한 태양광 스트링 고장 진단)

  • Shin, Woo Gyun;Oh, Hyun Gyu;Bae, Soo Hyun;Ju, Young Chul;Hwang, Hye Mi;Ko, Suk Whan
    • Current Photovoltaic Research
    • /
    • v.10 no.3
    • /
    • pp.77-83
    • /
    • 2022
  • Renewable energy is receiving attention again as a way to realize carbon neutrality to overcome the climate change crisis. Among renewable energy sources, the installation of Photovoltaic is continuously increasing, and as of 2020, the global cumulative installation amount is about 590 GW and the domestic cumulative installation amount is about 17 GW. Accordingly, O&M technology that can analyze the power generation and fault diagnose about PV plants the is required. In this paper, a study was conducted to diagnose fault using I-V curves of PV strings and deep learning. In order to collect the fault I-V curves for learning in the deep learning, faults were simulated. It is partial shade and voltage mismatch, and I-V curves were measured on a sunny day. A two-step data pre-processing technique was applied to minimize variations depending on PV string capacity, irradiance, and PV module temperature, and this was used for learning and validation of deep learning. From the results of the study, it was confirmed that the PV fault diagnosis using I-V curves and deep learning is possible.

Identification of Cardiovascular Disease Based on Echocardiography and Electrocardiogram Data Using the Decision Tree Classification Approach

  • Tb Ai Munandar;Sumiati;Vidila Rosalina
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.9
    • /
    • pp.150-156
    • /
    • 2023
  • For a doctor, diagnosing a patient's heart disease is not easy. It takes the ability and experience with high flying hours to be able to accurately diagnose the type of patient's heart disease based on the existing factors in the patient. Several studies have been carried out to develop tools to identify types of heart disease in patients. However, most only focus on the results of patient answers and lab results, the rest use only echocardiography data or electrocardiogram results. This research was conducted to test how accurate the results of the classification of heart disease by using two medical data, namely echocardiography and electrocardiogram. Three treatments were applied to the two medical data and analyzed using the decision tree approach. The first treatment was to build a classification model for types of heart disease based on echocardiography and electrocardiogram data, the second treatment only used echocardiography data and the third treatment only used electrocardiogram data. The results showed that the classification of types of heart disease in the first treatment had a higher level of accuracy than the second and third treatments. The accuracy level for the first, second and third treatment were 78.95%, 73.69% and 50%, respectively. This shows that in order to diagnose the type of patient's heart disease, it is advisable to look at the records of both the patient's medical data (echocardiography and electrocardiogram) to get an accurate level of diagnosis results that can be accounted for.

An intelligent method for pregnancy diagnosis in breeding sows according to ultrasonography algorithms

  • Jung-woo Chae;Yo-han Choi;Jeong-nam Lee;Hyun-ju Park;Yong-dae Jeong;Eun-seok Cho;Young-sin, Kim;Tae-kyeong Kim;Soo-jin Sa;Hyun-chong Cho
    • Journal of Animal Science and Technology
    • /
    • v.65 no.2
    • /
    • pp.365-376
    • /
    • 2023
  • Pig breeding management directly contributes to the profitability of pig farms, and pregnancy diagnosis is an important factor in breeding management. Therefore, the need to diagnose pregnancy in sows is emphasized, and various studies have been conducted in this area. We propose a computer-aided diagnosis system to assist livestock farmers to diagnose sow pregnancy through ultrasound. Methods for diagnosing pregnancy in sows through ultrasound include the Doppler method, which measures the heart rate and pulse status, and the echo method, which diagnoses by amplitude depth technique. We propose a method that uses deep learning algorithms on ultrasonography, which is part of the echo method. As deep learning-based classification algorithms, Inception-v4, Xception, and EfficientNetV2 were used and compared to find the optimal algorithm for pregnancy diagnosis in sows. Gaussian and speckle noises were added to the ultrasound images according to the characteristics of the ultrasonography, which is easily affected by noise from the surrounding environments. Both the original and noise added ultrasound images of sows were tested together to determine the suitability of the proposed method on farms. The pregnancy diagnosis performance on the original ultrasound images achieved 0.99 in accuracy in the highest case and on the ultrasound images with noises, the performance achieved 0.98 in accuracy. The diagnosis performance achieved 0.96 in accuracy even when the intensity of noise was strong, proving its robustness against noise.

Designing Integrated Diagnosis Platform for Heterogeneous Combat System of Surface Vessels (다기종 수상함 전투체계의 통합 진단 플랫폼 설계)

  • Kim, Myeong-hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2021.05a
    • /
    • pp.186-188
    • /
    • 2021
  • The architecture named IDPS is a design concept of web-based integrated platform for heterogeneous naval combat system, which accomplishes efficiency(decreasing complexity) of diagnosis process and reduces time to diagnose system. Each type of surface vessel has its own diagnostic processes and applications, and that means it also requires its own diagnostic engineer(inefficiency in human resource management). In addition, man-based diagnostic causes quality issues such as difference approach of log analysis in accordance with engineer skills. Thus In this paper, we designed integrated diagnostic platform named IDPS with simplified common process regardless of type of surface vessel and we reinforced IDPS with status decision algorithm(SDA) that judges current software status of vessel based on gathered lots of logs. It will enable engineers to diagnose system more efficiently and to use more resources in utilizing SDA-analyzed diagnostic results.

  • PDF

Association Between Pediatric Gastroesophageal Reflux Disease Symptom and Quality of Life Questionnaire Score, Endoscopy and Biopsy in Children with Clinical Gastroesophageal Reflux Disease: A Prospective Study

  • Fatima Safira Alatas ;Dian Wulandaru Sukmaning Pertiwi ;Muzal Kadim;Pramita Dwipoerwantoro;Hanifah Oswari ;Badriul Hegar ;Yvan Vandenplas
    • Pediatric Gastroenterology, Hepatology & Nutrition
    • /
    • v.26 no.4
    • /
    • pp.173-180
    • /
    • 2023
  • Purpose: Gastro esophageal reflux disease (GERD) is a burdensome disease affecting many children. A clinical examination is reported to be unreliable to diagnose GERD in children. This study aimed to investigate the relationship between the Pediatric Gastroesophageal Reflux Disease Symptom and Quality of Life Questionnaire (PGSQ) and endoscopic and histopathological findings in children with symptoms suggesting GERD. Changes in the PGSQ score in children with esophagitis as response to one month therapy were recorded as secondary outcome. Methods: This is a prospective cohort study in the pediatric outpatient clinic in an Indonesian tertiary hospital. Children aged 2-17 years old with clinical symptoms suspected of GERD are included in the study. Blinded endoscopic and histopathological examination was performed in all patients before one month proton pump inhibitors (PPI) therapy. The PGSQ information was collected at inclusion and after one month PPI treatment. Results: Fifty-eight subjects were included. Esophagitis was found in 60.9% of subjects according to endoscopy and 58.6% according to histology. There was no significant relationship between the PGSQ score and endoscopic (p=0.781) nor biopsy (p=0.740) examinations. The PGSQ showed a low diagnostic value compared to endoscopy and biopsy (area under the curve [AUC] 0.477, p=0.477, 95% confidence interval [CI] 0.326-0.629 and AUC 0.474, p=0.740 (95% CI 0.321-0.627 respectively). The PGSQ improved significantly post one month of PPI treatment. Conclusion: The PGSQ cannot be used to diagnose esophagitis in children with clinical symptoms suggesting GERD. However, the PGSQ can be used to monitor the treatment response in children with esophagitis.

Study on Applicability of Village Extinction Index Through Comparative Study with Regional Extinction Index (지방소멸지수와의 비교 연구를 통한 마을소멸지수의 적용 가능성 검토 연구)

  • Yun, Jeong-mi
    • Journal of Korean Society of Rural Planning
    • /
    • v.30 no.1
    • /
    • pp.1-13
    • /
    • 2024
  • There is a serious risk of regional extinction due to low birth rate and aging in Korea. Accordingly, the regional extinction index is applied to diagnose the extinction status of cities, counties, and districts. However, when the regional extinction index was applied to rural villages, most villages were found to be at 'high risk of extinction'. There is no differentiation in the level of extinction of rural villages. Therefore, a village extinction index was developed to apply to rural villages. This study applies and compares the existing regional extinction index and the newly developed village extinction index to rural villages. The purpose is to propose an index that can better diagnose the extinction of rural villages. As a research method, the regional extinction index and village extinction index are applied to all villages in Haengjeong-ri villages in South Chungcheong Province. And the adequacy of the index suitable for rural villages is diagnosed. For this purpose, ➂ stage distribution for each two indices, ➂ demographic aspect diagnosis, and ➂ resident awareness survey were analyzed. When the village extinction index was used, the discrimination problems seen in the regional extinction index were overcome. As a result of the demographic analysis, the regional extinction index showed that villages with a population of 200 or more were at 'high risk of extinction', but the village extinction index was derived as 'high risk of extinction' for villages with underpopulated populations. Lastly, the results of the residents' awareness survey also showed that the village extinction index was well reflected in the actual situation of rural villages when applied. When the village extinction index was applied to rural villages rather than the regional extinction index, it was found to reflect the actual state of rural extinction better.

Improving the Specificity of CT Angiography for the Diagnosis of Hepatic Artery Occlusion after Liver Transplantation in Suspected Patients with Doppler Ultrasound Abnormalities

  • Jin Sil Kim;Dong Wook Kim;Kyoung Won Kim;Gi Won Song;Sung Gyu Lee
    • Korean Journal of Radiology
    • /
    • v.23 no.1
    • /
    • pp.52-59
    • /
    • 2022
  • Objective: To investigate whether the diagnostic performance of CT angiography (CTA) could be improved by modifying the conventional criterion (anastomosis site abnormality) to diagnose hepatic artery occlusion (HAO) after liver transplantation (LT) in suspected patients with Doppler ultrasound (US) abnormalities. Materials and Methods: One hundred thirty-four adult LT recipients (88 males and 46 females; mean age, 52.7 years) with suspected HAO on Doppler US (40 HAO and 94 non-HAO according to the reference standards) were included. We evaluated 1) abnormalities in the HA anastomosis, categorized as a cutoff, ≥ 50% stenosis at the anastomotic site, or diffuse stenosis at both graft and recipient sides around the anastomosis, and 2) abnormalities in the distal run-off, including invisibility or irregular, faint, and discontinuous enhancement. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the conventional (considering anastomosis site abnormalities alone) and modified CTA criteria (abnormalities in both the anastomosis site and distal run-off) for the diagnosis of HAO were calculated and compared using the McNemar test. Results: By using the conventional criterion to diagnose HAO, the sensitivity, specificity, PPV, NPV, and accuracy were 100% (40/40), 74.5% (70/94), 62.5% (40/64), 100% (70/70), and 82.1% (110/134), respectively. The modified criterion for diagnosing HAO showed significantly increased specificity (93.6%, 88/94) and accuracy (93.3%, 125/134) compared to that with the conventional criterion (p = 0.001 and 0.002, respectively), although the sensitivity (92.5%, 37/40) decreased slightly without statistical significance (p = 0.250). Conclusion: The modified criterion considering abnormalities in both the anastomosis site and distal run-off improved the diagnostic performance of CTA for HAO in suspected patients with Doppler US abnormalities, particularly by increasing the specificity.

The role of needle-based confocal laser endomicroscopy in the diagnosis of pancreatic neuroendocrine tumors

  • Masanori Yamada;Kazuo Hara;Nobumasa Mizuno;Shin Haba;Takamichi Kuwahara;Nozomi Okuno;Yasuhiro Kuraishi;Takafumi Yanaidani;Sho Ishikawa;Tsukasa Yasuda;Toshitaka Fukui
    • Clinical Endoscopy
    • /
    • v.57 no.3
    • /
    • pp.393-401
    • /
    • 2024
  • Background/Aims: Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is a highly accurate method for diagnosing pancreatic neuroendocrine tumors (PNETs); however, some PNETs are difficult to diagnose. Recently, the efficacy of needle-based confocal laser endomicroscopy (nCLE) in diagnosing solid pancreatic masses has been reported. However, the efficacy of nCLE in the diagnosis of PNETs remains unknown and only a small number of cases have been reported. Hence, this study aimed to evaluate the efficacy of nCLE in the diagnosis of PNETs. Methods: This single-center retrospective study evaluated 30 consecutive patients with suspected PNETs on contrast-enhanced computed tomography, who consented to nCLE combined with EUS-FNA and were diagnosed using EUS-FNA or surgical resection. The diagnostic criteria for PNETs using nCLE were based on the nesting and trabecular and glandular arrangement of tumor cell clusters surrounded by capillary vessels and fibrosis, as reported in previous studies. Results: The diagnosis using nCLE was classified into three categories: misdiagnosis in three cases (10%), non-diagnostic in six cases (20%), and diagnostic in 21 cases (70%). nCLE was able to diagnose PNET in one of the two cases with inconclusive EUS-FNA. Conclusions: Although further development of the resolution and optimization of the diagnostic criteria are required, nCLE may constitute a useful diagnostic option in cases of inconclusive EUS-FNA for PNETs.

Management of Patients with Traumatic Rupture of the Diaphragm

  • Hwang, Sang-Won;Kim, Han-Yong;Byun, Jung-Hun
    • Journal of Chest Surgery
    • /
    • v.44 no.5
    • /
    • pp.348-354
    • /
    • 2011
  • Background: Traumatic rupture of the diaphragm is an unusual type of trauma. In addition, it is difficult to diagnose because it can be accompanied by injuries to other organs. If it is not detected early, the mortality rate can increase due to serious complications. Diaphragmatic rupture is an important indicator of the severity of the trauma. The aim of this study was to investigate the factors affecting the incidence of complications and mortality in patients who had surgery to treat traumatic rupture of the diaphragm. Materials and Methods: The subjects were patients who had undergone a diaphragmatic rupture by blunt trauma or stab wounds except patients who were transferred to other hospitals within 3 days of hospitalization, from January 2000 to December 2007. This study was a retrospective study. 43 patients were hospitalized, and 40 patients were included during the study period. Among them, 28 were male, 12 were female, and the average age was 42 (from 18 to 80). Outcome predictive factors including hypoxia, ventilator application days, revised trauma score (RTS), injury severity score (ISS), age, herniated organs, complications, and the mortality rate were investigated. Results: Causes of trauma included motor vehicle crashes for 20 patients (50%), falls for 10 (25%), stab wounds for 8 (20%), and agricultural machinery accidents for 2 (5%). Most of the patients (36 patients; 90%) had wound sites on the left. Diagnosis was performed within 12 hours for most patients. The diaphragmatic rupture was diagnosed preoperatively in 27 patients (70%) and in 12 patients (30%) during other surgeries. For surgical treatment, thoracotomy was performed in 14 patients (35%), laparotomy in 11 (27.5%), and a surgery combining thoracotomy and laparotomy in 15 patients (37.5%). Herniated organs in the thoracic cavity included the stomach for 23 patients (57.5%), the omentum for 15 patients (37.5%), the colon for 10 patients (25%), and the spleen for 6 patients (15%). Accompanying surgeries included splenectomy for 13 patients (32.5%), lung suture for 6 patients (15%), and liver suture for 5 patients (12.5%). The average hospital stay was $47.80{\pm}56.72$ days, and the period of ventilation was $3.90{\pm}5.8$ days. The average ISS was $35.90{\pm}16.81$ (11~75), and the average RTS was $6.46{\pm}1.88$ (1.02~7.84). The mortality rate was 17.5% (7 patients). Factors affecting complications were stomach hernia and age. Factors affecting the mortality rate were ISS and RTS. Conclusion: There are no typical symptoms of the traumatic rupture of the diaphragm by blunt trauma. Nor are there any special methods of diagnosis; in fact, it is difficult to diagnose because it accompanies injuries to other organs. Stab wounds are also not easy to diagnose, though they are relatively easy to diagnose compared to blunt trauma because the accompanying injuries are more limited. Suture of the diaphragm can be performed through the chest, the abdomen, or the thoracoabdomen. These surgical methods are chosen based on accompanying organ injuries. When there are many organ injuries, there are a great number of complications. Significant factors affecting the complication rate were stomach hernia and age. ISS and RTS were significant as factors affecting the mortality rate. In the case of severe trauma such as pelvic fractures, frequent physical examinations and chest X-rays are necessary to confirm traumatic rupture of the diaphragm because it does not have specific symptoms, and there are no clear diagnosis methods. Complications and the mortality rate should be reduced with early diagnosis and with treatment by confirming diaphragmatic rupture in the thoracic cavity and the abdomen during surgery.

CT Examinations for COVID-19: A Systematic Review of Protocols, Radiation Dose, and Numbers Needed to Diagnose and Predict (COVID-19 진단을 위한 CT 검사: 프로토콜, 방사선량에 대한 체계적 문헌고찰 및 진단을 위한 CT 검사량)

  • Jong Hyuk Lee;Hyunsook Hong;Hyungjin Kim;Chang Hyun Lee;Jin Mo Goo;Soon Ho Yoon
    • Journal of the Korean Society of Radiology
    • /
    • v.82 no.6
    • /
    • pp.1505-1523
    • /
    • 2021
  • Purpose Although chest CT has been discussed as a first-line test for coronavirus disease 2019 (COVID-19), little research has explored the implications of CT exposure in the population. To review chest CT protocols and radiation doses in COVID-19 publications and explore the number needed to diagnose (NND) and the number needed to predict (NNP) if CT is used as a first-line test. Materials and Methods We searched nine highly cited radiology journals to identify studies discussing the CT-based diagnosis of COVID-19 pneumonia. Study-level information on the CT protocol and radiation dose was collected, and the doses were compared with each national diagnostic reference level (DRL). The NND and NNP, which depends on the test positive rate (TPR), were calculated, given a CT sensitivity of 94% (95% confidence interval [CI]: 91%-96%) and specificity of 37% (95% CI: 26%-50%), and applied to the early outbreak in Wuhan, New York, and Italy. Results From 86 studies, the CT protocol and radiation dose were reported in 81 (94.2%) and 17 studies (19.8%), respectively. Low-dose chest CT was used more than twice as often as standard-dose chest CT (39.5% vs.18.6%), while the remaining studies (44.2%) did not provide relevant information. The radiation doses were lower than the national DRLs in 15 of the 17 studies (88.2%) that reported doses. The NND was 3.2 scans (95% CI: 2.2-6.0). The NNPs at TPRs of 50%, 25%, 10%, and 5% were 2.2, 3.6, 8.0, 15.5 scans, respectively. In Wuhan, 35418 (TPR, 58%; 95% CI: 27710-56755) to 44840 (TPR, 38%; 95% CI: 35161-68164) individuals were estimated to have undergone CT examinations to diagnose 17365 patients. During the early surge in New York and Italy, daily NNDs changed up to 5.4 and 10.9 times, respectively, within 10 weeks. Conclusion Low-dose CT protocols were described in less than half of COVID-19 publications, and radiation doses were frequently lacking. The number of populations involved in a first-line diagnostic CT test could vary dynamically according to daily TPR; therefore, caution is required in future planning.