Latest Method Research Articles

Microgrid energy optimization management considering consumer segmentation optimization and dynamic time intervals

ABSTRACT To prioritize critical loads and enhance microgrid energy management efficiency, this study introduces a method that combines consumer segmentation optimization and dynamic time intervals. A penalty-based approach is used to minimize unmet load demands, prioritizing energy for critical loads. A joint classification model for multi-type consumers is developed using a convolutional neural network autoencoder and hierarchical clustering. Dynamic time intervals are applied to reduce iterations and improve memory and processor efficiency in solving the energy management model. Simulation tests on a microgrid with distributed generation, battery storage, and consumption units confirm the method’s effectiveness. Results show that configuring dynamic time intervals and segmenting loads by priority yield solutions similar to fixed interval methods. Finally, the energy optimization management effects of the proposed method were compared with those of two latest methods. The comparison results demonstrate that if a microgrid underwent four different disconnection scenarios from the main distribution network, the proposed method saves 23.15%, 23.08%, 23.79%, and 34.61% time to achieve energy optimization management compared with that of the first latest method, and 24.20%, 23.87%, 25.11%, and 36.18% time than that of the second latest method.

Identify devices and events from non-IP heterogeneous IoT network traffic

In recent years, notable advancements have been achieved in the realm of identifying IP-based Internet of Things (IoT) devices and events. Nevertheless, the majority of methods rely on extracting fingerprints or features from plain text IP-based packets, which limits their ability to accommodate heterogeneous IoT devices such as ZigBee and Z-Wave, and fails to address the challenge of limited traffic samples. To tackle these issues, we propose a novel approach based on IoT communication characteristics and featuring module extensibility. This method is presented to effectively identify IoT devices and events from non-IP heterogeneous IoT network traffic. To shield the differences caused by the heterogeneous IoT protocol, a heterogeneous sample extraction platform with an extensible structure is created to extract raw sequence samples from ZigBee and Z-Wave traffic, with potential for expansion to other protocols. To address the challenges arising from the scarcity of samples, a sample identification framework based on IoT communication characteristics is devised to create synthetic samples from the raw sequence samples, enabling concurrent processing of the raw and synthetic samples using an identification model featuring two separate sequence networks. Comparative assessments of our method against baseline sequence models and the latest techniques demonstrate the advantages of our approach in identifying non-IP heterogeneous IoT traffic. The experimental results indicate that our method achieves an average accuracy improvement of 29.7% compared to baseline models using only raw samples. Furthermore, our method shows improvements of 22.1%, 21.5%, and 21.8% in macro precision, macro recall, and macro F1-score, respectively, over the latest method.

Contraband detection algorithm for X‐ray security inspection images based on global semantic enhancement

AbstractAiming at the problem of low detection accuracy caused by overlapping occlusion and noise disturbance, a contraband detection algorithm for X‐ray security inspection images based on global semantic enhancement is proposed to achieve accurate contraband target detection by enhancing global semantic information. First, the disturbance suppression module is used to weaken the noise disturbance at different positions by local suppression and aggregate finer detail information. Then, the parallel cascade search module is used to capture long‐range dependencies and strengthen the representation of global semantic information, which helps the model identify contraband under overlapping occlusion. Finally, the contribution of different features is adaptively adjusted through the feature‐weighted fusion module, which promotes the effective fusion of multi‐scale features and improves the accuracy of model detection. The method in this article has been extensively evaluated and experimented on three mainstream benchmark datasets: SIXray, OPIXray, and PIDray. The mAPs of three datasets reach 93.5%, 91.9%, and 85.9%, respectively. The experimental results fully demonstrate that the method in this article has better performance compared with the latest method, which can meet the practical application requirements of real‐time target detection.

Conceptual design of an electric vehicle chassis using topology optimization method

Abstract Nowadays, the chassis represents the most important structural part of the vehicle, that has a great influence on the passenger’s safety. Lately, topology optimization represents a vital part of the automotive design process. The chassis design can improve the stability and rigidity of the vehicle for accurate handling. In this paper is presented the conceptual design of an EV (electric vehicle) chassis generated by using the topology optimization method. The introduction of the paper presents the latest method used in automotive optimization and the theoretical aspects. In the second part, the basic chassis structure is modelled using CAD software. The objective of this optimization study is to decrease the mass of the chassis to a minimum, without affecting the mechanical properties. Two optimization cases are studied using the steel and aluminium allow material at different boundary conditions. At the final of this research, all results are compared, and the conclusions are presented.

Study on the Rapid Limit Test for Six Sulfonamide Residues in Food Based on the TLC-SERS Method.

Sulfonamides are not only widely applied in clinics but also highly valued in animal husbandry. Recently, it has become common for sulfonamide residues to exceed the standard limits in food, which can affect human health. Current regulations limit these residues. Therefore, we constructed a new limit test method to rapidly determine the levels of sulfonamide residues. Six sulfonamides were detected using the latest method called TLC-SERS, namely, sulfamethasone (A), sulfamethazine (B), sulfadoxine (C), sulfamethoxydiazine (D), sulfamethoxazole (E), and sulfathiazole (F). The optimal conditions for SERS detection were investigated for these six drugs, and the separation effects of different TLC spreaders on them were compared. Then, we successfully established a separation system using dichloromethane-methanol-ammonia in a ratio of 5:1:0.25 (v/v/v), which provided good separation effects on the six drugs. The residues were preliminarily separated via TLC. A silver sol solution was added to the spot on the silica gel G plate at the corresponding specific shift values, and SERS detection was performed. The sample solution was placed on the spot under a 532 nm laser, and the SERS spectrum was collected and analyzed for the six sulfonamides. The results showed obvious variations in the SERS spectrum among the six sulfonamides, with the LODs being 12.5, 6.4, 6.3, 7.1, 18.8, and 6.2 ng/mL from A to F, respectively, and an RSD of <3.0%. Within 48 h, the SERS signal for each sulfonamide drug was kept stable, with an RSD of <3.0%. The detection results of 20 samples using the TLC-SERS method were consistent with those obtained by UPLC-MS/MS. The established TLC-SERS method is simple and fast, providing a useful reference for the rapid detection of residue limits in food.

Effective Teaching Methods in Physical Education Classes: A pilot study implementing a new survey for teachers

Physical education (PE) classes for children play a crucial role in promoting physical activity and healthy lifestyle. The PE in the Kosovo primary schools, together with its teaching and organizational issues have long been a key topic of political, sport and scientific debate. However, the various actions carried out so far have not been enough to recognize contents and methods of PE correctly oriented in an educational way. The aim of the study is to highlight the latest method and strategies of the teachers, and the new curriculum used in the field of PE for better learning and developing health among children through physical activity. The research involved (n = 100) PE teachers from Kosovo public schools. All teachers are from Kosovo primary schools, classes VI-IX, with an average of 16 years of work experience. Data was collected using questionnaire by an online survey. The learning methods mostly applied are: practical learning method (96%), teaching through lectures (79%), interactive method (72%), effective teaching method (66%), learning through certain goals (47%). The factors that influence the effective use of teaching strategies are: infrastructure and equipment (94%), teacher skills (89%), competitive activities among children (57%), and children’s desire for physical and sports activities (46%). The factors that can influence the increase in the effectiveness of teaching strategies are: the addition of teaching hours (92%) teacher trainings (84%) and curricular improvements (78%). Teaching methods help teachers to have an effective communication with students, clear instructions, demonstrations, and techniques being taught.

The differences between static stretching and proprioceptive neuromuscular facilitation stretching on flexibility: a gender review

Proprioceptive neuromuscular facilitation (PNF) is the latest method used in flexibility training. This study shows something different from other studies. The purpose of this study was whether there were differences in flexibility in male and female students as a result of the static stretching training method and the PNF stretching training method. The samples in this study were 80 male and female students, which were taken randomly from the male population of 56 people and the female population of 45 people, so that a total of 101 people. The results showed that the two methods showed a significant improvement. However, the PNF stretching training method was more effective than the static stretching training method in increasing flexibility. Both applied to male students and female students. Although the PNF stretching training method has been proven to increase flexibility in both males and females, students and physical education teachers need to pay attention to this training method and do it regularly and continuously by considering the advantages and disadvantages of each method. The suggestions for further research are to carry out further, complete research, which is related to this research, by taking into account the essential differences between males and females, such as physical and physiological growth and development.

MACN: A cascade defect detection for complex background based on mixture attention mechanism

AbstractDefect detection in complex background is a critical issue. To address this issue, this paper proposes the mixture attention mechanism cascade network, in which the new channel attention network is linked with the spatial attention network to create an effective mixed attention network that takes advantage of their respective advantages, adaptively suppresses background noise, and highlights defect features. To ensure the efficiency and effectiveness of effective mixed attention network, the new channel attention network splices the output features of the global average pooling layer and the global maximum pooling layer and then sends the spliced features into a shared network, which is a one‐dimensional convolutional network, and uses cross‐channel interaction for fusion. Furthermore, in order to provide more discriminative feature representation, the authors extract the intermediate features of the region proposal network and input them into effective mixed attention network. Finally, the cascade head is used to refine the predicted bounding box to achieve high‐quality defect location. To demonstrate the superiority and usefulness of this method, it is compared to the latest method using widely used PCB and NEU data sets. A large number of trials demonstrate that this strategy outperforms other methods for detecting defects in complicated backgrounds.

Drug Delivery Angle for Various Atherosclerosis and Aneurysm Percentages of the Carotid Artery.

Stroke is the second cause of mortality among adult males and the first cause of death in adult females all around the world. It is also recognized as one of the most important causes of morbidity and dementia in adults. Stenosis or rupture of the only channels of the blood supply from the heart to the brain (carotid arteries) is among the main causes of stroke. In this regard, treatment of the lesions of carotid arteries, including atherosclerosis and aneurysm, could be a huge step in preventing stroke and improving brain performance. Targeted drug delivery by drug-carrying nanoparticles is the latest method for optimal delivery of drug to the damaged parts of the artery. In this study, a wide range of carotid artery lesions, including different percentages of atherosclerosis and aneurysm, were considered. After analyzing the dynamics of the fluid flow in different damaged regions and selecting the magnetic framework with proper ligand (Fe3O4@MOF) as the drug carrier, the size of the particles and their number per cycle were analyzed. Based on the results, the particle size of 100 nm and the use of 300 particles per injection at each cardiac cycle can result in maximum drug delivery to the target site. Then, the effect of the hospital bed angle on drug delivery was investigated. The results showed a unique optimal drug delivery angle for each extent of atherosclerosis or aneurysm. For example, in a 50% aneurysm, drug delivery at an angle of 30° is about 387% higher than that at an angle of 15°. Finally, simulation of real geometry indicated the effectiveness of simple geometry instead of real geometry for the simulation of carotid arteries, which can remarkably decrease the computational time and costs.

Facilitated Subcutaneous Immunoglobulin Treatment Increases the Quality of Life and Decreases the Number of Infections and Hospitalizations in Children with Primary Immunodeficiencies

Introduction: Immunoglobulin replacement therapy is an effective lifelong treatment modality used in patients with primary immunodeficiency to prevent and/or reduce the incidence of serious infections. Facilitated subcutaneous immunoglobulin (fSCIG) was developed to combine the advantages of intravenous immunoglobulin (IVIG) and subcutaneous immunoglobulin (SCIG) and is the latest method of immunoglobulin G (IgG) administration. In this study, switching to fSCIG administration in primary immunodeficiency patients receiving regular IVIG or SCIG therapy was evaluated, and serum IgG trough levels, frequency of infections, frequency and duration of hospitalizations, duration of absence from school/work, and quality of life were determined. Methods: In this study, fifteen patients with primary immunodeficiency who were previously receiving IVIG or SCIG treatment, followed by fSCIG, were evaluated retrospectively. Age, diagnosis, current complications, mean IgG value, frequency of infection, frequency of hospitalization, and duration of absenteeism from school and work were recorded during and before fSCIG treatment. At the beginning of fSCIG treatment, at 6th and 12th months, “The Quality of Life Scale” was also evaluated in patients and parents. Results: The most common indications for initiation of fSCIG treatment were the difficulty of access to the hospital and the long transfusion periods. No systemic adverse reactions were reported except for redness, swelling, and mild pain on the injection site. The median IgG values for the last 1 year were 529.6 mg/dL for IVIG (n = 9), 876.2 mg/dL for SCIG (n = 6) and 856.7 mg/dL for fSCIG (n = 15, all patients) treatment. The frequency of infections and the number of hospitalizations decreased significantly in the fSCIG group compared to both previous treatment modalities. There was a significant increase in the quality of life score of the patients and their families when compared with previous treatment modalities. Conclusion: fSCIG is an effective treatment method and is well tolerated in patients with immunodeficiency. It provides stable immunoglobulin levels and excellent protection against infections and offers the patients the possibility of home-based therapy.

PERSEPSI PETANI TERHADAP PERTUMBUHAN DAN PRODUKSI KAKAO JENIS BIBIT SOMATIC EMBRYOGENESIS (SE) DALAM KEGIATAN PEREMAJAAN DI KELURAHAN PALARAHI KECAMATAN WAWOTOBI KABUPATEN KONAWE

The success of cocoa cultivation is the use of quality plant seeds, one of which is cocoa seedlings obtained through the technique of Somatic Embryogenesis (SE) propagation is the latest method that can produce planlets that are the same as the source, have taproots and branching structures similar to plants from seeds. Another advantage of the SE technique is that it can mass produce seedlings, free of pests and diseases, more uniform growth, better vigor, high yield and drought resistance. This study aims to determine Farmers' Perceptions of Growth and Production of Cocoa Seedlings of Somatic Embryogenesis (SE) in Rejuvenation Activities in Palarahi Village, Wawotobi Subdistrict, Konawe Regency. The sample size was 20 respondents determined by the census method. Data collection techniques used were interviews, observation, and recording. Data analysis used in this research is descriptive qualitative processed in the form of Likert scale level 5, which is then done scoring and the results are summed and averaged to classify high, medium and low perception of farmers. The results showed that farmers' perceptions of the growth and production of Somatic Embryogenesis (SE) cocoa seedlings were in the high category, in other words, better than the previous cocoa plants. So that the quality and profit they feel has been achieved although not fully maximized, but it has given its own satisfaction by planting SE seedlings.

Recent Trends in E-Teaching and Learning Context

The idea of electronic-learning is based on technology intervene globally, this learning approach has attained greater attention in view of educational perspective and the advantages of e-learning in educational viewpoint. The present study will provide insights of face-to-face teaching as well as e- learning and teaching importance and how it influenced the 21st century teaching learning process. However, the number of diverse e-learning programs available to crutch teaching and learning process which is found to be expanding robustly. The chief concern for educational developers as well as teachers in education sector was selection of e-technology. However, it is well ball parked that whichever teaching need best supports as well as provide optimum learning opportunities is regarded as beneficial and best e-learning technology. Hence, the present study highlights diverse e-technologies utilized in educational sector and which would be better in educational institutes for towards online learning to bridges the gap between a student and a teacher from whichever different geographical location they are present. The educational system around the world is undergoing increasing pressure to use the new information and communication technology to acquaint students with the knowledge and information and require in this techno-savvy Era. To develop a knowledge society, it is essential to integrate ICT at all levels of the education system, e-content is a very powerful tool of education. It is the latest method of instruction that has attracted the attention of learners and teachers of all instruction systems. It is a valuable resource for the development of an information rich society where everyone, irrespective of caste, religion, race, region, gender bias is empowered to create, receive share and utilize information and knowledge for their economic, social, cultural, political, etc. upliftment and development. E-learning and e-teaching systems are involved in teachers’ professional activities and development if e-learning/e-teaching is the technology which supports the process of teachers’ learning of university courses, the teacher is in the position of e-learner, if e-learning/e-teaching is the content of the teachers’ institution curricula to be applied in the teaching process, the teacher switches from the position of 21st century e-Learner to the one of e-teacher in blended/ e-learning systems.

New applications of the fractional derivative to extract abundant soliton solutions of the fractional order PDEs in mathematics physics

The motive of this research work is to unravel the mysteries of nature through fractional-order partial differential equations (PDEs). Here, we focus on two important fractional order nonlinear PDEs, namely the fractional order (4+1)-dimensional Fokas equation, which is used to give the model of many physical phenomena and dynamical processes, and the other one is the fractional order (2+1)-dimensional breaking soliton equation which is used to analyze the nonlinear problems like optical fiber communications, ocean engineering, etc. Recently, it has been an essential topic to extract the new soliton solutions which are used to investigate the hidden physical conditions of the nonlinear fractional PDEs. So, it is essential to solve those nonlinear fractional PDEs which have a physical impact in the fields of science and modern engineering. In our investigation, we attempt to provide nonlinear wave propagation patterns and investigate the equations, as mentioned earlier, through a computational method. A computing operating software called Mathematica has been applied to get a clear visualization of our gained outcomes, and we ascertain such types of shapes as the bell shape soliton, the anti-bell shape soliton, the singular bell shape soliton, the periodic solution, and the singular periodic solution. Our obtained results can keep an indispensable role in explaining various physical phenomena of nature shortly, and the applied method is the very cogent, efficient, and interesting to extract such types of solutions. Since we extract abundant solutions of these models, so we hope that this article is the best applications of mention method.

Optimizing Time Performance in implementing Green Retrofitting on High-Rise Residential by using System Dynamics and M-PERT

Climate change is a threat and crisis that is engulfing the world today; therefore, the target of Net Zero Emission (NZE) by 2060 should be an obligation for all countries. The greenhouse effect, global warming, destruction of the ozone layer, forest destruction, uncontrolled use of CFCs, and industrial exhaust are factors that cause climate change. The consequences of climate change are dire, resulting in drought, water scarcity, land fires, rising sea levels, flash floods, melting polar ice caps, storms, and a decline in biodiversity. Green buildings (GB) are important in saving energy, water, and other resources by meeting technical construction standards and applying green building principles according to their function and classification at each stage of their implementation. Buildings with measurable performance. Expected to reduce carbon or greenhouse gas emissions. The latest Technical Guidelines for Green Building Performance Assessment Standards were developed through regulations from the Ministry of Public Works and Public Housing (PUPR) No.1 of 2022. The way to improve and find a solution to achieve a Green Building according to these regulations is by applying solar modules as an alternative energy source in the building under study, providing significant added value to the assessment process. This research aims to analyze whether the renewable energy source factor is an influencing factor in the application of the Ministry of PUPR Green Building in High-Rise Residential. This research framework is at least initiated from matters where M-PERT, which is an innovation and the latest method of continuation of the PERT method, is proven to be able to provide an accuracy of planning execution time of 99% or with an error rate of 1%. From the research results with the application of M-PERT, it is proven that it can provide an accuracy of implementation time of 98.93% in the Primary Rating, while in the Intermediate Rating, it can provide an accuracy of implementation time of 99.92% and 98.88% accuracy of implementation time for the Main Rating category. Doi: 10.28991/CEJ-2023-09-12-07 Full Text: PDF

Non-parametric style transfer: Correlation-aware exact distribution matching

Early feed-forward neural methods of arbitrary image style transfer utilized the encoded feature map up to its second-order statistics, i.e., mean and variance (or covariance) of the encoded feature map. Recent methods have begun to utilize feature statistics beyond the 2nd-order statistics, e.g., a higher-order moment, slicing-based method, and histogram matching for better style representation. However, even in the distribution matching of the latest method, considering the channel-correlation and the order of duplicated values in the feature map is missing. This resulted in insufficient style transfer or artifacts on style-transferred images e.g., unexpected color or pattern co-occurrence, skewed color or style pattern into one side, noise between background and foreground, etc. In this work, we show how to make a feature transform layer to consider both channel-correlation and duplicated values in the feature map for exact feature distribution matching in style transfer. Our experimental results prove that the stylized images obtained with our method are more similar to the target style images qualitatively without losing content clearness and superior to the existing methods quantitatively in all possible style measures, e.g., 0.0311 lower sliced Wasserstein distance than the previous method and the most favored choice with 25.54% preference.

Membership of environmental clubs impacts students' awareness and understanding of environmental problems, knowledge and connectedness to nature

The study examined the impact of environmental clubs on secondary schools’ students with the aim of determining students’ awareness of environmental problems, knowledge and connectedness to nature. It is a cross-sectional survey. A structured, self-administered questionnaire was used. Seven (7) public schools were randomly selected for this study. A total of 457 students of public schools who were both members (313) and non-members (144) of environmental conservation clubs were surveyed in Akure. Data were analyzed descriptively while the hypothesis was tested with independent- test and simple linear regression. Level of awareness of environmental problems among the students was higher with members of environmental conservation clubs having a higher level of awareness than non-members. It also revealed that the respondents’ knowledge about nature was low and were more knowledgeable on the latest method of biodiversity conservation (297 respondents), State bird of Nigeria (265 respondents), and what is biodiversity (255). Members of environmental conservation clubs also had higher knowledge about nature than non-members. The respondents’ connectedness to nature was very high, members of conservation clubs had higher levels of connectedness to nature than non-members. The study suggests that students’ membership of environmental clubs impacts positively on their awareness of environmental problems, knowledge and connectedness to nature. It is recommended that the role of environmental clubs is made more relevant within the curriculum so as to empower students’ with skills to promote more environmental awareness, knowledge and connectedness to nature.

Gate‐controlled series capacitor: A new methodology for mitigating sub‐synchronous resonance in a series‐compensated DFIG‐based wind farm

AbstractSeries‐compensated transmission lines can lead to a sub‐synchronous resonance (SSR) phenomenon at high compensation levels, where the system lacks stability. Gate‐controlled series capacitor (GCSC) is widely used to damp the SSR. Here, an effective and new methodology for damping the SSR is presented. The proposed method aims to alleviate the SSR phenomenon based on estimating both the frequency and the maximum value of the voltage magnitude signal rather than using the Proportional Integral controller. The appropriate turn‐off angle corresponding to the maximum value of the voltage magnitude signal is applied to the GCSC on the condition that the estimated frequency of the voltage magnitude signal is within the range of the SSR frequency. If the estimated frequency of the voltage magnitude signal is out of the range of the SSR frequency, the steady‐state turn‐off angle (1130) is applied to the GCSC. The capability of the proposed method for damping the SSR under various compensation levels, various wind speeds, and sub‐synchronous control interaction (SSCI) is validated by time‐domain simulation and eigenvalue analysis. Compared to the presented latest method for SSR damping using GCSC, all the obtained results demonstrate that the oscillations converge faster when the proposed method is activated.

Personalized HRTF prediction based on LightGBM using anthropometric data

This paper proposes a personalized head-related transfer function (HRTF) prediction method based on LightGBM using anthropometric data. Considering the overfitting problems of the current training-based prediction methods, we use LightGBM and a specific network structure to prevent over-fitting and enhance the prediction performance. By decomposing and combining the data to be predicted, we set up 90 LightGBM models to separately predict the 90 instants of HRTF in log domain. At the same time, the method of 10-fold cross-validation is used to score the accuracy of the model. For models with scores below 80 points, Bayesian optimization is used to adjust model hyperparameters to obtain a better model structure. The results obtained by LightGBM are evaluated with spectral distortion (SD) which can show the fitting error between the prediction and the original data. The mean SD values of both ears on the whole test set are 2.32 dB and 2.28 dB respectively. Compared with the non-linear regression method and the latest method, SD value of LightGBM-based method relatively decreases by 83.8% and 48.5%.

Chlorophyll Fluorescence Imaging for Early Detection of Drought and Heat Stress in Strawberry Plants.

The efficiency of photosynthesis in strawberry plants is measured to maintain the quality and quantity of strawberries produced. The latest method used to measure the photosynthetic status of plants is chlorophyll fluorescence imaging (CFI), which has the advantage of obtaining plant spatiotemporal data non-destructively. This study developed a CFI system to measure the maximum quantum efficiency of photochemistry (Fv/Fm). The main components of this system include a chamber for plants to adapt to dark environments, blue LED light sources to excite the chlorophyll in plants, and a monochrome camera with a lens filter attached to capture the emission spectra. In this study, 120 pots of strawberry plants were cultivated for 15 days and divided into four treatment groups: control, drought stress, heat stress, and a combination of drought and heat stress, resulting in Fv/Fm values of 0.802 ± 0.0036, 0.780 ± 0.0026, 0.768 ± 0.0023, and 0.749 ± 0.0099, respectively. A strong correlation was found between the developed system and a chlorophyll meter (r = 0.75). These results prove that the developed CFI system can accurately capture the spatial and temporal dynamics resulting from the response of strawberry plants to abiotic stresses.

Productivity Analysis Using the Critical Chain Project Method Management (CCPM) on Repair Projects Geomarin-III ship 649 DWT.

Ship repair project planning still often encountered problems that delay ship repair projects to achieve complete ship repair projects. Delays are due to frequent mismatches between ship repair scheduling and conditions that occur at the shipyard. The most commonly used method is the Critical Path Method (CPM). But in reality, the CPM method is considered less effective because there is still safety time for each job. Technological developments found the latest method, namely Critical Chain Project Management (CCPM). This method removes the safety time contained in the CPM method and replaces it with buffer time which is placed at the end of work activities. This study aims to analyze the duration of the critical path, determine labor costs, and the amount of buffer duration on the repair of the Geomarin-III 649 DWT ship. Based on the calculation results obtained on the repair of the Geomarin-III 649 DWT ship with the Critical Chain Project Management (CCPM) method is 10 days, 10 days faster than the normal duration. The labor cost obtained using the CCPM method is IDR. 54,017,500, saving 35% of the normal cost is IDR. 82,680,000, but if the buffer time is used thoroughly, the total estimated labor cost for the CCPM method will increase due to the addition of labor and the duration of the buffer time obtained by the CCPM method as a substitute for safety time, which is 9 days project buffer and 3 days feeding buffers. Based on this research, it was found that the CCPM method is considered effective and can accelerate the duration of the project and minimize labor costs.