• Title/Summary/Keyword: Pre-feasibility

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Stabilization of As and Heavy Metals in Farmland Soil using Iron Nanoparticles Impregnated Biochar (비소 및 중금속의 식물체 전이감소를 위한 철 나노 입자가 담지된 바이오차의 농경지 토양 안정화제 적용성 평가)

  • Koh, Il-Ha;Kim, Jung-Eun;Park, So-Young;Choi, Yu-Lim;Kim, Dong-Su;Moon, Deok Hyun;Chang, Yoon-Young
    • Journal of Soil and Groundwater Environment
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    • v.27 no.6
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    • pp.1-10
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    • 2022
  • This study assessed the feasibility of iron oxide nanoparticles impregnated with biochar (INPBC), derived from woody biomass, as a stabilizing agent for the stabilization of farmland soil in the vicinity of an abandoned mine through pot experiments with 28 days of lettuce growth. The lettuce grown in the INPBC amended soils increased by more than 100% and the concentrations of inorganic elements (Cu, Ni, Zn) decreased by more than 40%. As, Cd and Pb were not transferred properly from the soils to the lettuce biomass. The bioavailability of arsenic and heavy metals in the INPBC amended soils were decreased by 26%~50%. It seems that the major mechanisms of stabilization were arsenic adsorption on iron oxides, heavy metal precipitation by soil pH increasing and heavy metal adsorption on organic matter. These results revealed that the lower bioavailability of the inorganic pollutants in the soils stabilized using INPBC induced lower transfer to the lettuce. Thus, INPBC could be used as an amendment material for the stabilization of farmland soils contaminated by arsenic and heavy metals. However, a pre-review of the chemical properties of the amended soil must be performed prior to applying INPBC in farmland soil because the concentration of the nutrients in the soil such as available phosphates and exchangeable cations (Ca, Mg, K) could be decreased due to adsorption on the surface of the iron oxides and organic matter.

The Edge Computing System for the Detection of Water Usage Activities with Sound Classification (음향 기반 물 사용 활동 감지용 엣지 컴퓨팅 시스템)

  • Seung-Ho Hyun;Youngjoon Chee
    • Journal of Biomedical Engineering Research
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    • v.44 no.2
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    • pp.147-156
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    • 2023
  • Efforts to employ smart home sensors to monitor the indoor activities of elderly single residents have been made to assess the feasibility of a safe and healthy lifestyle. However, the bathroom remains an area of blind spot. In this study, we have developed and evaluated a new edge computer device that can automatically detect water usage activities in the bathroom and record the activity log on a cloud server. Three kinds of sound as flushing, showering, and washing using wash basin generated during water usage were recorded and cut into 1-second scenes. These sound clips were then converted into a 2-dimensional image using MEL-spectrogram. Sound data augmentation techniques were adopted to obtain better learning effect from smaller number of data sets. These techniques, some of which are applied in time domain and others in frequency domain, increased the number of training data set by 30 times. A deep learning model, called CRNN, combining Convolutional Neural Network and Recurrent Neural Network was employed. The edge device was implemented using Raspberry Pi 4 and was equipped with a condenser microphone and amplifier to run the pre-trained model in real-time. The detected activities were recorded as text-based activity logs on a Firebase server. Performance was evaluated in two bathrooms for the three water usage activities, resulting in an accuracy of 96.1% and 88.2%, and F1 Score of 96.1% and 87.8%, respectively. Most of the classification errors were observed in the water sound from washing. In conclusion, this system demonstrates the potential for use in recording the activities as a lifelog of elderly single residents to a cloud server over the long-term.

Feasibility of Community Information Centres and The Implications for Technological Innovations in Afikpo, Ebonyi State, Nigeria

  • Kingsley N. Igwe;Elizabeth O. Ndubuisi-Okoh;Patience Odenigbo
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.2
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    • pp.7-22
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    • 2023
  • The development of rural areas is expected to be holistic covering all essential infrastructure. Community information centres (CICs) are agen- cies that should be part of the infrastructures for rural development. Unfortunately, these centres are hardly seen in rural communities in Nigeria, including Afikpo in Ebonyi State. Thus, this study was conceived to explore the perceptions of citizens towards the establishment of CICs in the locality. It adopted survey research method with questionnaire as instrument for data collection, which was self-developed and validated by experts with a pre-texted reliability index of 0.72. A total of 399 copies of the questionnaire were distributed, out of which 267 copies were properly completed, representing 67% and were used for analysis. Findings revealed that the citizens have overall positive perception to- wards establishing the CICs; they are also knowledgeable of the benefits of such centres. Furthermore, there are workable suggestions on ways of establishing, funding and managing CICs in Afikpo. In addition, about 65% of the respondents indicated interest to assist and support the funding and management of the CICs when established. However, the challenges of inadequate funding and support as well as the possible politics of where to site/locate the CICs in Afikpo, are likely impediments to the project. The study concluded that citizens have strong and positive disposition towards establishing CICs in Afikpo. The implications of such CICs for technological innovations were analysed. The study recom- mends, among others, that government should see the establishment of CICs as priority projects that would significantly contribute to the growth and development of rural communities in Nigeria; communities in Afikpo should explore self-help approach to development; and political representatives from Afikpo should take advantage of establishing CICs as constituency projects for the citizens.

Optimization of image augmentation scale considering reliability and computational efficiency when classifying concrete structure cracks in CNN (CNN 기반 콘크리트 구조물 균열 분류시 신뢰도 및 계산 효율을 고려한 이미지 증강 규모 최적화 연구)

  • Jang, Hyeon-June;Lee, Ho-Hyun;Hong, Sung-Taek;Choi, Young-Don;Kim, Sung-Hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.324-327
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    • 2022
  • Crack inspection of aged structures is mostly conducted by inspectors using surveying tools on site and visually inspecting them. This method greatly depends on professional worker, and consumes a lot of time and money. An artificial intelligence image classification algorithm is used to make reliable and objective judgments. Since 2018, image augmentation techniques have been used in the image pre-processing stage as they lead to high performance improvement. In this study, an analysis algorithm for cracks in concrete structures was developed using image augmentation techniques, in which the accuracy and speed according to the augmentation ratio were compared and measured for optimization. As a result, it was found that 8 times of image augmentation was appropriate when the accuracy was improved and economic feasibility was taken into account.

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The Development and effectiveness of Learning Strategy Program for Junior College Students (전문대학생용 학습전략 프로그램 개발 및 효과)

  • Hwang Jae Gyu
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.299-311
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    • 2023
  • This study is to verify the development process and effectiveness of a learning strategy program for junior college students. The necessity and feasibility of learning strategy programs for junior college students were confirmed and reviewed through prior studies, and the program development process was divided into four stages: program planning, program development, program execution, and program evaluation, and integrated into program development management. In the first stage of program planning, the development direction, goals and objectives were set. In the second stage of program development, prior research analysis, content selection, program organization, and evaluation plan were conducted. In the third stage of execution, the program was executed, and in the fourth stage of evaluation, program evaluation was conducted to develop the program. In order to verify the effectiveness of the program, the test was conducted using the learning strategy diagnostic scale for junior college students to collect data, and the effectiveness was verified for the pre-, post-, and post-test scores.

A Comprehensive Analysis of Deformable Image Registration Methods for CT Imaging

  • Kang Houn Lee;Young Nam Kang
    • Journal of Biomedical Engineering Research
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    • v.44 no.5
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    • pp.303-314
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    • 2023
  • This study aimed to assess the practical feasibility of advanced deformable image registration (DIR) algorithms in radiotherapy by employing two distinct datasets. The first dataset included 14 4D lung CT scans and 31 head and neck CT scans. In the 4D lung CT dataset, we employed the DIR algorithm to register organs at risk and tumors based on respiratory phases. The second dataset comprised pre-, mid-, and post-treatment CT images of the head and neck region, along with organ at risk and tumor delineations. These images underwent registration using the DIR algorithm, and Dice similarity coefficients (DSCs) were compared. In the 4D lung CT dataset, registration accuracy was evaluated for the spinal cord, lung, lung nodules, esophagus, and tumors. The average DSCs for the non-learning-based SyN and NiftyReg algorithms were 0.92±0.07 and 0.88±0.09, respectively. Deep learning methods, namely Voxelmorph, Cyclemorph, and Transmorph, achieved average DSCs of 0.90±0.07, 0.91±0.04, and 0.89±0.05, respectively. For the head and neck CT dataset, the average DSCs for SyN and NiftyReg were 0.82±0.04 and 0.79±0.05, respectively, while Voxelmorph, Cyclemorph, and Transmorph showed average DSCs of 0.80±0.08, 0.78±0.11, and 0.78±0.09, respectively. Additionally, the deep learning DIR algorithms demonstrated faster transformation times compared to other models, including commercial and conventional mathematical algorithms (Voxelmorph: 0.36 sec/images, Cyclemorph: 0.3 sec/images, Transmorph: 5.1 sec/images, SyN: 140 sec/images, NiftyReg: 40.2 sec/images). In conclusion, this study highlights the varying clinical applicability of deep learning-based DIR methods in different anatomical regions. While challenges were encountered in head and neck CT registrations, 4D lung CT registrations exhibited favorable results, indicating the potential for clinical implementation. Further research and development in DIR algorithms tailored to specific anatomical regions are warranted to improve the overall clinical utility of these methods.

Percutaneous Ultrasound-Guided Fine-Needle Aspiration Cytology and Core-Needle Biopsy for Laryngeal and Hypopharyngeal Masses

  • Dongbin Ahn;Gil Joon Lee;Jin Ho Sohn;Jeong Eun Lee
    • Korean Journal of Radiology
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    • v.22 no.4
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    • pp.596-603
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    • 2021
  • Objective: To evaluate the feasibility and diagnostic performance of ultrasound (US)-guided fine-needle aspiration cytology and core-needle biopsy (US-FNAC/CNB) for the diagnosis of laryngo-hypopharyngeal masses. Materials and Methods: This was a single-center prospective case series. From January 2018 to June 2019, we initially enrolled 40 patients with highly suspicious laryngo-hypopharyngeal masses on laryngoscopic examinations. Of these, 28 patients with the mass involving or abutting the pre-epiglottic, paraglottic, pyriform sinus, and/or subglottic regions were finally included. These patients underwent US examinations with/without subsequent US-FNAC/CNB under local anesthesia for evaluation of the laryngo-hypopharyngeal mass. Results: Of the 28 patients who underwent US examinations, a laryngo-hypopharyngeal mass was identified in 26 patients (92.9%). US-FNAC/CNB was performed successfully in 25 of these patients (96.2%), while the procedure failed to target the mass in 1 patient (3.8%). The performance of US caused minor subclinical hematoma in 2 patients (7.7%), but no major complications occurred. US-FNAC/CNB yielded conclusive results in 24 (96.0%) out of the 25 patients with a successful procedure, including 23 patients with squamous cell carcinoma (SCC) and 1 patient with a benign mass. In one patient with atypical cells in US-FNAC, additional direct laryngoscopic biopsy (DLB) was required to confirm SCC. Among the 26 patients who received US-FNAC/CNB, the time from first visit to pathological diagnosis was 7.8 days. For 24 patients finally diagnosed with SCC, the time from first visit to the initiation of treatment was 25.2 days. The mean costs associated with US-FNAC/CNB was $272 under the Korean National Health Insurance Service System. Conclusion: US-FNAC/CNB for a laryngo-hypopharyngeal mass is technically feasible in selected patients, providing good diagnostic performance. This technique could be used as a first-line diagnostic modality by adopting appropriate indications to avoid general anesthesia and DLB-related complications.

Clinical Study on Safety and Efficacy of Microwave Ablation for Primary Hyperparathyroidism

  • Ying Wei;Lili Peng;Yan Li;Zhen-long Zhao;Ming-an Yu
    • Korean Journal of Radiology
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    • v.21 no.5
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    • pp.572-581
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    • 2020
  • Objective: To evaluate the safety, feasibility, and efficacy of microwave ablation (MWA) for the treatment of primary hyperparathyroidism (PHPT). Materials and Methods: This study enrolled 67 PHPT patients (22 men, 45 women; mean age, 56.0 ± 16.3 years; range, 18-83 years) from January 2015 to December 2018. The laboratory data, including the serum intact parathyroid hormone (iPTH), calcium, phosphorus, and alkaline phosphatase (ALP) levels, were evaluated before MWA and again 2 hours, 1 day, 7 days, 1 month, 3 months, 6 months, 12 months, 18 months, and 24 months after. Results: Complete ablation was achieved with all 72 hyperplastic parathyroid glands found on the 67 patients enrolled, 64 of whom were treated in one session and 3 were treated over two sessions. The technical success rate was 100%. The median follow-up time was 13.6 months (range, 10.0-31.1 months). The clinical success rate was 89.4%. The volume reduction rate was 79.4% at 6 months. Compared to pre-MWA, the serum iPTH, calcium, phosphorus, and ALP levels had significantly improved 6 months post-MWA (iPTH, 157.3 pg/mL vs. 39.2 pg/mL; calcium, 2.75 ± 0.25 mmol/L vs. 2.34 ± 0.15 mmol/L; phosphorus, 0.86 ± 0.20 mmol/L vs. 1.12 ± 0.22 mmol/L; ALP, 79 U/L vs. 54 U/L, respectively; all, p < 0.01). Hoarseness was a major complication in 4 patients (6.0%), but it improved spontaneously within 2-3 months. Conclusion: MWA is safe, feasible, and effective for the treatment of PHPT.

Minimally invasive percutaneous endoscopic thoracolumbar foraminotomy in large-breed dogs-a comparative study

  • Soo Hee Lee;Soo Young Choi;Ho Hyun Kwak;Heung Myong Woo
    • Korean Journal of Veterinary Service
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    • v.47 no.2
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    • pp.61-72
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    • 2024
  • This study aimed to evaluate the feasibility of percutaneous endoscopic foraminotomy (PEF) for the treatment of intervertebral disc herniation of the thoracolumbar spine in large-breed dogs by comparing it with open hemilaminectomy (OH). Six large-breed canine cadavers were used in the present study. A barium and agarose mixture (BA-gel) simulating intervertebral disc herniation was injected into the spinal canal at two intervertebral spaces (T12-T13, L2-L3) of the thoracolumbar spine in each cadaver. PEF and OH were randomly allocated to the sites in each cadaver. Computed tomography was performed pre- and postoperatively. The incision length, vertebral window size, procedure time, and amount of simulated disc material removed were recorded to compare PEF and OH. Both procedures clearly exposed the simulated disc material and spinal cord. The size of the incision and vertebral window created after PEF was much smaller than those after OH. The surgical duration of PEF was longer than that of OH. However, no significant difference (P>0.05) was observed in the amount of BA-gel removed between PEF and OH. Thus, PEF could be used as an effective surgical option for intervertebral disc herniation of the thoracolumbar region in large-breed dogs in that it could lead to less tissue damage as well as sufficient removal of the simulated disc material.

Analysis of Potential to Achieve Carbon Neutrality through Technical Definition and Case Study of Carbon-Neutral Buildings (탄소중립 건물의 기술적 정의와 사례 분석을 통한 탄소중립 달성 잠재성 분석)

  • Min Hee Chung
    • Land and Housing Review
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    • v.15 no.2
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    • pp.19-28
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    • 2024
  • This study analyzes the potential to achieve carbon neutrality through the technical definition and case studies of carbon-neutral buildings. In line with the Paris Agreement of December 2015, the global community has committed to limiting the average temperature rise to below 2oC and striving to restrict it to 1.5oC above pre-industrial levels. Achieving this requires reaching a net-zero state by 2050 and necessitates transitions across various sectors including energy, land use, and transportation. This research explores the technological approaches and real-world examples of carbon-neutral buildings, assessing their feasibility and limitations. By examining the definition of carbon-neutral buildings and presenting various technological solutions and case studies from both domestic and international contexts, this study evaluates the effectiveness and practicality of carbon-neutral buildings. The findings offer specific guidelines for the design, construction, and operation of carbon-neutral buildings and provide practical information for policymakers and practitioners aiming to create sustainable built environments.