18 research outputs found
Peningkatan Performansi Single Shot Detector Dan Modifikasi Kalibrasi Zhang Untuk Estimasi Jarak Dalam Mendukung Social Distancing
No full textCoronavirus Disease (COVID19) telah memberikan dampak yang luar biasa pada seluruh dunia tak-terkecuali di Indonesia. Rata – rata tingkat penularan COVID19 (R-naught) adalah 2-3 orang yang masih tergolong tinggi. Penerapan protokol kesehatan seperti social distancing adalah salah satu mekanisme yang dapat mengurangi tingkat penularan. Sistem penerapan social distancing dapat dilakukan secara manual tetapi membutuhkan sumber daya yang besar. Maka pada penelitian ini dikembangkan Single Shot Detector yang telah ditingkatkan performanya menggunakan Mobilenet dan Kalibrasi Zhang yang telah dimodifikasi untuk kamera monocular dalam mendukung social distancing secara otomatis. Metode kalibrasi berbeda yang berbasis sifat geometris objek juga diterapkan dan dikomparasi untuk mendapatkan hasil terbaik. Dari hasil ujicoba, didapat performa kecepatan untuk deteksi objek dari Single Shot Detector meningkat 82% menggunakan Mobilenet. Sedangkan dalam mengestimasi jarak didapat rerata tingkat error 5% menggunakan Kalibrasi Zhang dan 26% menggunakan kalibrasi berbasis sifat geometris objek.
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The Coronavirus Disease (COVID19) has brought a terrific crisis globally. The transmission rate (R-naught) is high to wit an infected person may transmit to 2-3 people on average. To maintain the health protocol such as social distancing is a proven mechanism to reduce COVID19 transmission rate. It is possible to do it manually however there are drawbacks such as expensive resource and excessive cost. To overcome the aforementioned difficulties, a system utilizes Single Shot Detector which has been improved using Mobilenet and Zhang Calibration which has been modified for monocular camera have been developed in support of social distancing automatically. Furthermore, different camera calibration method based on the geometric properties of the object have also been applied and compared. From the obtained result, speed performance of Single Shot Detector for object detection increased by 82% using Mobilenet. Whereas, in estimating the distance, Zhang Calibration achieved the average error rate of 5% while the other camera calibration method achieved the average error rate of 26%
Derivasi pada Near-Ring Prima - On Derivation In Prime Near-Ring
No full textSuatu himpunan tak-kosong N dengan dua operasi biner
”+” dan ”.” dinamakan Near-Ring jika memenuhi: (N, +) adalah grup, (N, .) adalah semigrup dan (N, +, .) memenuhi distributif kanan. N dinamakan near-ring prima jika untuk setiap x, y ∈ N berlaku xN y = 0, maka berakibat x = 0 atau y = 0. Suatu homomorpisma grup d pada near-ring N dinamakan suatu derivasi bila untuk setiap x, y ∈ N berlaku d(xy) = d(x)y +xd(y) atau d(xy) = xd(y)+d(x)y. Pada tugas akhir ini, ditunjukkan bahwa N merupakan ring komutatif melalui derivasi hasil kali Lie maupun hasil kali Jordan.
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A Near-Ring N is a non-empty set N equipped with two binary operation ”+” and ”.” denoted by (N, +, .) such that (N, +) forms group, (N, .) forms semigroup and the right distributive law is satisfied. N is said to be prime near-ring if for every x, y ∈ N , xN y = 0 implies x = 0 or y = 0. A group homomorphism d on near- ring N is called derivation if d(xy) = d(x)y + xd(y) or d(xy) = xd(y) + d(x)y for every x, y ∈ N . In the present final project, it is shown that N is considered commutative ring by involving derivation of Lie product and Jordan product
The Prevalence of Hepatitis C Virus (HCV) Infection and Genotypes in Patients with Hemophilia and Other Blood Coagulopathies in Mashhad, Iran
No full textBackground and Aim: Patients with blood coagulopathies treated with multiple transfusions have a high risk to acquire some viral infections such as hepatitis C. This research was aimed to identify hepatitis C virus (HCV) infection prevalence, and the viral genotypes among patients with hemophilia and other inherited coagulopathies in Mashhad, Iran.
Methods: Medical records of 760 patients with inherited coagulopathies including hemophilia were reviewed in Sarvar Clinic of Mashhad. Plasma samples were subjected to detect antibodies against HCV (anti-HCV) by enzyme-linked immunosorbent assay. HCV RNA and genotypes were determined by a real-time polymerase chain reaction (PCR) method.
Results: Totally 128 individuals (16.8%) including patients with hemophilia (n=116) and individuals with other coagulopathies (n=12) were found to be seropositive for anti-HCV. They comprised 122 men and six women with a mean age of 31.6 ± 10.5 years. The PCR results were available for 118 patients, of whom 86 individuals (72.9%) were found to have detectable HCV RNA in their serum. The most frequent genotypes were 1a and 3a (49.1% and 35.8%, respectively). HCV genotypes were not significantly correlated with the patients’ age (p=0.477) as well as with the serum levels of alanine aminotransferase (p=0.655) and aspartate aminotransferase (p=0.332).
Conclusion: The patients with blood coagulation disorders had a greater prevalence of HCV infection in comparison with the general population in our region. The most common subgenotypes of HCV were 1a, and 3a, respectively. These results could assist professionals to choose more efficient approaches for the management of their patients.
*Corresponding Author: Mohammad Reza Hedayati-Moghaddam; Email: [email protected]
Please cite this article as: Badiei Z, Ahmadi-Ghezeldasht S, Sima HR, Habibi M, Khamooshi M, Azimi A, Hedayati-Moghaddam MR. The Prevalence of Hepatitis C Virus (HCV) Infection and Genotypes in Patients with Hemophilia and Other Blood Coagulopathies in Mashhad, Iran. Arch Med Lab Sci. 2021;7:1-7 (e9). https://doi.org/10.22037/amls.v7.3396
IMPLEMENTASI RESTORASI CITRA DERAU SALT & PEPPER, GAUSSIAN DAN SPECKLE SECARA SPASIAL DENGAN MATLAB
No full textCitra yang mengandung derau seringkali membatasi informasi berharga yang dibutuhkan untuk analisis citra. Restorasi citra mengacu pada pengapusan atau pengurangan degradasi citra yang dihasilkan dari proses pengambilan data atau proses akuisisi citra. Degradasi yang dimaksud meliputi derau error atau efek optik misalnya blur karena kamera yang tidak fokus atau karena goyangan kamera. Untuk menanggulangi hal tersebut, pada penelitian ini diimplementasikan restorasi citra dengan teknik secara spasial pada citra yang mengalami kerusakan akibat derau salt & pepper, derau gaussian dan derau speckle. Dari implementasi restotasi citra dan analisis pengujian MSE dan PSNR, citra derau gausssian dapat direstotasi filter median 5×5 dengan baik dan maksimal ditunjukkan dengan MSE 58,9 dan PSNR 101,23 sedangkan citra derau speckel kurang dapat direstorasi dengan filter rata-rata 3×3 yaitu dengan MSE 191,42 dan PSNR 80,75
Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
No full textObject tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed. The process of tracking an object in the form of one object is to estimate the target in the next sequence based on information from the first frame given. In object tracking in the form of single object tracking, there are five steps that are often used in discriminatory methods, including motion models, feature extraction, observation models, model updates and integration methods. Although various algorithms of object tracking are proposed, there are still failures in the object tracking process caused by occlusion, non-rigid target deformation, and other factors. This study proposes the implementation of the Kalman filter, particle filter, and correlation filter methods for object tracking in video data. The results of the implementation of the three methods can track objects in traffic video data and the script circuit video. In object tracking calculations and method analysis, the kalman filter gets 96.89% where the kalman method is better in terms of accuracy compared to other methods. Meanwhile, in the average performance of computation time, the correlation method gets 26.69 FPS, where the correlation method is superior compared to other competitor methods.
Keywords – Kalman Filter; Particle Filter; Correlation Filter; Object Tracking; Object Tracking in Vide
Derivation Requirements on Prime Near-Rings for Commutative Rings
No full textNear-ring is an extension of ring without having to fulfill a commutative of the addition operations and left distributive of the addition and multiplication operations It has been found that some theorems related to a prime near-rings are commutative rings involving the derivation of the Lie products and the derivation of the Jordan product. The contribution of this paper is developing the previous theorem by inserting derivations to the Lie products and the Jordan product. Keywords: Derivation, Prime Near-Ring, Lie Products and Jordan Products
Identification and prioritization of factors affecting services provided by Real Estate Registration Organization of Iran using analytical Hierarchy process (AHP) from viewpoint of clients (case study: Real Estate Registration Organization of Bandar Abbas
No full textOne of the orientations of modern management is consideration of principle of customer-orientation and gaining satisfaction of recipients of services. In the executive and administrative system of Iran, satisfaction of people by the services provided by public systems could be considered as one of the main indices of measurement of efficiency, growth and development of system. In addition to satisfy people in field of receiving services from public systems, these factors can increase public trust, which could be the greatest capital and support for the administrative system. In this study, the author has tried to identify and then prioritize the factors affecting improvement of services provided by Real Estate Registration Organization of Iran using AHP method. Case study in this study is conducted on the Real Estate Registration Organization of Bandar Abbas. This study is an applied study and the data collection method is descriptive survey method. Data collection in this study is done in two main steps. The first step is associated with collection of opinions of experts and the clients about the weight of criteria using AHP questionnaire and the second step is associated with collection of the opinions of clients about the services provided by the Real Estate Registration Organization compared to criteria. In this study, purposive sampling method is used. The clients with degree higher than diploma with the ability to answer the Fuzzy AHP questionnaire were selected as sample individuals and the questionnaires were distributed among them. Due to the difficulty of fulfilling the questionnaire and the time limitation, 100 clients were selected as final sample size and the questionnaires were distributed among them. The questionnaire contains evaluation and prioritization of the criteria extracted using AHP questionnaire. 61 questionnaires out of these questionnaires were applicable and analyzable. To solve the proposed model, Excel software is used. In first step, through analysis of the determinant factors of quality of services in the literature of last 30 years, the common and applicable factors with highest consistency with public centers were identified and were localized through survey of organizational experts and the factors in consistence with the Registration Organization were selected. Among the criteria, 6 criteria with highest frequency including physical dimension (tangibles), reliability, accountability, confidence, quick services (optimized) and ease of access (sympathy) were selected. In next step, the significance and weight of criteria is determined. To this end, Fussy AHP method is used. The ranks of criteria including quality of services provided by real Estate Registration Organization of Bandar Abbas in this study are as follows: rank 1: accountability (0.19); rank 2: reliability (0.185); rank 3: quick services (Optimized) (0.184); rank 4: ease of access (sympathy) (0.17); rank 5: confidence (0.16) and rank 6: physical dimension (0.111
ANALISIS MESIN SEPEDA MOTOR 4 LANGKAH ELECTRONIC FUEL INJECTION DENGAN MENGGUNAKAN PIGGYBACK
No full textThe need for motorized vehicles at this time is very high. It can be seen from the increasing number of motorized vehicles that have sprung up with various variations and innovations. Motorized vehicles are needed as a means of transportation to support day-to-day activities both to workplaces, schools, sending goods and so on because they are faster and more efficient and fuel efficient. However, the performance capability of motorized vehicles will experience a decline from all aspects, especially the performance of the engine, due to the use or behavior of our use of the motorbike. One way to restore even improve the performance of the motorbike by giving a device to the control unit system in the form of Piggyback, so that the performance of the motorbike will return like the new one and even increase. To be able to find out the performance of the engine before and after using Piggyback, a motor test was performed on the engine by dynotest on the dynamometer. So this reason the author can analyze how much changes in power, torque and fuel to air ratio occur.
Interpretable machine learning for academic risk analysis in university students
No full textHigher education institutions often grapple with issues related to academic risk among their students. These academic risks encompass low academic performance, study delays, and dropouts. One approach to address these challenges is to predict students’ academic performance as accurately as possible by leveraging advanced computational techniques and utilizing academic and non-academic student data. This research aims to develop a model that accurately identifies students with high potential for academic risk while explaining the contributing factors to this phenomenon in the Faculty of Vocational Studies, Institut Teknologi Sepuluh Nopember (ITS). The prediction model is constructed using the light gradient boosting machine (LightGBM) method and is subsequently interpreted using the Shapley additive explanations (SHAP) value. Additionally, an oversampling method, based on synthetic minority oversampling technique (SMOTE), is implemented to address imbalances in the dataset. The proposed approach achieves 96% and 97% accuracy and specificity rates, respectively. Analysis based on SHAP values reveals that extracurricular activities, choice of major, smoking habit, gender, and friendship circle are among the top five factors impacting students’ academic risk
Comparative Analysis of ANFIS and State-ANFIS for Forecasting Cooking Oil Prices Based on Processed Palm Oil Yield (Crude Palm Oil)
No full textThe adaptive neuro-fuzzy inference system (ANFIS) is widely employed in modeling intricate systems, especially in forecasting cooking oil prices. However, ANFIS confronts limitations stemming from backpropagation, prompting the exploration of alternatives like particle swarm optimization (PSO). Hybrid PSO-ANFIS models exhibit enhanced forecasting accuracy, albeit at the expense of increased computational time. Nonetheless, both ANFIS and hybrid PSO-ANFIS encounter challenges in handling dynamic relationships influenced by macroeconomic factors. To address these issues, the development of the State-ANFIS (S-ANFIS) method integrates regime-switching models, enhancing its capability to manage dynamic relationships. Particularly effective in cooking oil price prediction, S-ANFIS clarifies the impact of external variables and improves forecast accuracy and interpretability by combining ANFIS with state-space models. Our analysis underscores S-ANFIS’s superiority over ANFIS, particularly with Gaussian membership functions, as it reduces RMSE and MAPE values by half while requiring fewer nodes, thereby improving computational efficiency. Additionally, integrating key state variables like crude palm oil (CPO) prices, inflation rates, and the USD exchange rate enhances the reliability of the model. Overall, S-ANFIS offers a more accurate, interpretable, and efficient approach to forecasting cooking oil prices, demonstrating superior predictive capabilities
