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Improving the accuracy of old and young face detection in the template matching method with Fuzzy Associative Memory (FAM)

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IOP Conference Series: Materials science and Engineering 2020年第1期725卷

作者： Rafika Sari Sembiring Syahril Efendi Saib Suwilo Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

Every human has a face pattern and certain characteristics even though identical twins, but the human face pattern still has its own distinctiveness as well as old face patterns and young face patterns even though the human face pattern is very diverse but for young and old face patterns will be a difference between one face and the other face. Face detection (face detection) is one of the initial stages that very important in face recognition that is used in biometric identification. Face detection can also be used to search or index face data from images or videos that contain faces of various sizes, positions, and backgrounds. Face detection (face detection) automatically with the help of a computer is a problem that is not easy because the human face has a high level of variability both intra-personal and extra-personal variability. This study shows that systems with template matching methods combined with FAM can successfully detect differences in human faces, 80% accuracy, 10% better by using ordinary template matching.

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Preliminary Experiments of Series Elastic Actuator Prototype utilizing Mechanical Resonance

Preliminary Experiments of Series Elastic Actuator Prototype...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Akihiro Yoshimi Tsuyoshi Mori Jun Kobayashi Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan

This study proposes large force generation by a robotic manipulator by means of providing series elastic actuators exploiting mechanical resonance to it instead of powerful actuators. To this end, the authors designed and assembled a prototype of series elastic actuator that resonates at around 1.0 Hz on the basis of its model and identified parameters, and carried out preliminary experiments with it and a load. The prototype actuator consists of a geared DC motor with an encoder and an elastic element. The elastic element is made of two torsion springs so that it can generate torque in both directions. It was confirmed in the preliminary experiments that the prototype actuator resonated at around 0.7 Hz. In addition, in order to prove efficacy of mechanical resonance for large force generation, output torque of the prototype actuator with the elastic element and without it was estimated using their identified physical parameters and dynamics, and compared them. The estimation results showed that the prototype actuator exploiting mechanical resonance generated 2.24 times larger torque than the one without the elastic element.

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On using Euler's Factorization Algorithm to Factor RSA Modulus

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： M A Budiman M Zarlis O S Sitompul H Mawengkang Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

The RSA public key cryptosystem was among the first algorithms to implement the Diffie-Hellman key exchange protocol. At the core of RSA's security is the problem of factoring its modulus, a very large integer, into its prime factors. In this study, we show a step-by-step tutorial on how to factor the RSA modulus using Euler's factorization algorithm, an algorithm that belongs to the class of exact algorithms. The Euler's factorization algorithm is implemented in Python programming language. In this experiment, we also record the relation between the length of the RSA moduli and its factorization time. As a result, this study shows that the Euler's factorization algorithm can be used to factor small modulus of RSA, the correlation between the factoring time and the size of RSA modulus is directly proportional, and better selection of some Euler's parameters may lead to lower factoring time.

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Performance Improvement of Clustering Affinity Propagation Method using Principal Component Analysis

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： Jasael Simanullang Muhammad Zarlis Elviawaty Muisa Zamzami Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

Affinity Propagation Method it is necessary to modify the algorithm by using Principal Component Analysis (PCA). PCA method is used to reduce the attributes or characteristics that are less influential on the data so that the most influential attributes are obtained to then be carried out the clustering process with Affinity Propagation. The comparison results of the PCA + AP grouping model have better performance than the conventional AP grouping model. This is justified because the number of iterations and clusters produced by the PCA + AP clustering model does not change and converges when there are 8 optimal cluster clusters. While the performance of conventional clustering models produces an optimal number of clusters from 14 clusters with a significant number of iterations. So it can be concluded that the PCA + AP grouping model is suitable for the Air Quality dataset because it produces an optimal number of clusters and iterations of 8 clusters. The comparison results of the PCA + AP grouping model have better performance than the conventional AP grouping model. This is justified because the number of iterations and clusters produced by the PCA + AP clustering model does not change and converges when the optimal number of clusters is 5 clusters. While the performance of conventional clustering models produces a suboptimal number of 10 clusters with a significant number of iterations. So it can be concluded that the PCA + AP grouping model is suitable for the Water Quality Status dataset because it produces an optimal number of clusters and 5 cluster repetitions.

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Modelling and Prediction of the 2019 Coronavirus Disease Spreading in China Incorporating Human Migration Data

SSRN

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SSRN 2020年

作者： Zhan, Choujun Tse, Chi K. Fu, Yuxia Lai, Zhikang Zhang, Haijun School of Computing South China Normal University Guangzhou China Department of Electronic Engineering City University of Hong Kong Hong Kong School of Computer Science and Engineering Nanfang College of Sun Yat-Sen University China Shenzhen Graduate School Harbin Institute of Technology Shenzhen China

This study integrates the daily intercity migration data with the classic Susceptible-Exposed-Infected-Removed (SEIR) model to construct a new model suitable for describing the dynamics of epidemic spreading of Coronavirus Disease 2019 (COVID-19) in China. Daily intercity migration data for 367 cities in China are collected from Baidu Migration, a mobile-app based human migration tracking data system. Historical data of infected, recovered and death cases from official source are used for model fitting. The set of model parameters obtained from best data fitting using a constrained nonlinear optimisation procedure is used for estimation of the dynamics of epidemic spreading in the coming months. Our results show that the number of infections in most cities in China will peak between mid February to early March 2020, with about 0.8%, less than 0.1% and less than 0.01% of the population eventually infected in Wuhan, Hubei Province and the rest of China, respectively. Moreover, for most cities outside and within Hubei Province (except Wuhan), the total number of infected individuals is expected to be less than 300 and 4000, respectively. Funding Statement: This work was supported by National science Foundation of China Project 61703355, Guangdong Youth University Innovative Talents Project 2016KQNCX223, and City University of Hong Kong under Special Fund 9380114. Declaration of Interests: None. © 2020, The Authors. All rights reserved.

关键词： Coronavirus

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Front Cover: Micrometer-Sized Liposome-Based Systems: A Hierarchical Breakdown (ChemSystemsChem 3/2025)

ChemSystemsChem

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ChemSystemsChem 2025年第3期7卷

作者： Prof. Dr. Shogo Hamada Dr. Hironori Sugiyama Prof. Dr. Yiting Zhang Prof. Dr. Shoji Iwabuchi Soichiro Hiroi Toshiki Maruyama Yuktesh Balaji Sota Kumagai Prof. Dr. Satoshi Murata Prof. Dr. Taro Toyota Department of Computer Science School of Computing & Department of Systems and Control Engineering School of Engineering Institute of Science Tokyo 4259 Nagatsuta-cho Midori-ku Yokohama-city Kanagawa 226-8501 Japan These authors contributed equally. Department of Applied Chemistry Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Department of Chemistry College of Science Rikkyo University 3-34-1 Nishi-Ikebukuro Toshima-ku Tokyo 171-8501 Japan Department of Biotechnology and Life Science Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi Tokyo 185-8588 Japan Department of Basic Science Graduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba Meguro-ku Tokyo 153-8902 Japan Department of Robotics Graduate School of Engineering Tohoku University 6-6-01 Aramaki-Aza Aoba Aoba-ku Sendai Miyagi 980-8579 Japan Universal Biology Institute The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan

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Adjacent segment disease following Dynesys stabilization for lumbar disorders:A case series of mid-and long-term follow-ups

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World Journal of Clinical Cases 2021年第35期9卷 10850-10860页

作者： Kuan-Ju Chen Chien-Ying Lai Lu-Ting Chiu Wei-Sheng Huang Pang-Hsuan Hsiao Chien-Chun Chang Cheng-Jyh Lin Yuan-Shun Lo Yen-Jen Chen Hsien-Te Chen Department of Orthopedic Surgery China Medical University HospitalTaichung City 404Taiwan Spine Center China Medical University HospitalTaichung City 404Taiwan Management Office for Health Data China Medical University HospitalTaichung City 404Taiwan College of Medicine China Medical UniversityTaichung City 404Taiwan School of Chinese Medicine China Medical UniversityTaichung City 404Taiwan Department of Orthopedic Surgery China Medical University HospitalChina Medical UniversityTaichung City 404Taiwan Spine Center China Medical University HospitalChina Medical UniversityTaichung City 404Taiwan Degree Program of Biomedical Science and Engineering National Chiao Tung UniversityHsinchu City 300Taiwan Department of Biological Science and Technology National Chiao Tung UniversityHsinchu City 300Taiwan Department of Orthopedic Surgery China Medical University Beigang HospitalYunlin County 651Taiwan Graduate Institute of Precision Engineering National Chung Hsing UniversityTaichung City 404Taiwan School of Medicine China Medical UniversityTaichung City 404Taiwan Department of Sport Medicine College of Health CareChina Medical UniversityTaichung City 404Taiwan

BACKGROUND Radiologic adjacent segment degeneration(ASDeg)can occur after spinal *** segment disease(ASDis)is defined as the development of new clinical symptoms corresponding to radiographic changes adjacent to the level of previous spinal *** pre-existing ASDeg is generally considered to result in more severe ASDis;nonetheless,whether the ASDeg status before index surgery influences the postoperative risk of revision surgery due to ASDis warrants *** To identify possible risk factors for ASDis and verify the concept that greater preexisting ASDeg leads to more severe *** Data from 212 patients who underwent posterior decompression with Dynesys stabilization from January 2006 to June 2016 were retrospectively *** who underwent surgery for ASDis were categorized as group A(n=13),whereas those who did not were classified as group B(n=199).Survival analysis and Cox proportional hazards models were used to compare the modified Pfirrmann grade,University of California-Los Angeles grade,body mass index,number of Dynesys-instrumented levels,and *** The mean time of reoperation was 7.22(1.65–11.84)years in group A,and the mean follow-up period was 6.09(0.10–12.76)years in group *** significant difference in reoperation risk was observed:Modified Pfirrmann grade 3 vs 4(P=0.53)or 4 vs 5(P=0.46)for the upper adjacent disc,University of California-Los Angeles grade 2 vs 3 for the upper adjacent segment(P=0.66),age of<60 vs>60 years(P=0.9),body mass index<25 vs>25 kg/m2(P=0.3),and sex(P=0.8).CONCLUSION Greater preexisting upper ASDeg was not associated with a higher rate of reoperation for ASDis after Dynesys *** overweight tended to increase reoperation risk after Dynesys surgery for ASDis.

关键词： Adjacent segment degeneration Adjacent segment disease Degenerative lumbar spondylolisthesis Dynamic stabilization Dynesys Spinal stenosis

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Z-Bar Shoeing Demonstrates Potential for Long-Term Foot Pain Management during an Exercise Training Regimen in a Show Jumping Pony with Uniaxial Palmar Pain

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Case Reports in Veterinary Medicine 2022年第0期2022卷 8468403页

作者： Sanigavatee, Kanokpan Poochipakorn, Chanoknun Charoenchanikran, Ponlakrit Joongpan, Weena Chanda, Metha Veterinary Clinical Studies Program The Graduate School Kasetsart University Kamphaeng Saen Campus Nakhon Pathom Thailand 29th Cavalry Squadron Royal Horse Guard King's Guard 2nd Cavalry Brigade Royal Thai Army Bangkok Thailand Faculty of Veterinary Medicine Rajamangala University of Technology Tawan-Ok Chonburi Thailand Department of Large Animal and Wildlife Clinical Science Faculty of Veterinary Medicine Kasetsart University Kamphaeng Saen Campus Nakhon Pathom Thailand

Z-bar shoeing has been implemented to relieve uniaxial palmar pain arising from the structures in the affected region. However, there have been no reports on the long-term application of the z-bar shoe during exercise training regimens. A 10-year-old mixed-breed show jumping pony presented with an occasional short stride and abnormal rhythm while turning during routine exercise for three months. Gait analysis conducted by trotting off on both hard and soft surfaces showed no lameness in the straight line on both types of surfaces. However, right forelimb lameness was detected with moderate and slight pain accompanying hard surface lunging in clockwise and counterclockwise directions, respectively. Sequential examination of uniaxial perineural anaesthesia confirmed that the pony suffered from medial palmar pain on the right foreleg. Mild distal border irregularity of the navicular bone was also observed radiographically. The z-bar shoe was designed relative to the palmar digital anaesthesia and subsequently applied on the lame leg. The pony demonstrated a marked reduction in lameness severity immediately post-Z-bar shoeing. Physical exercise was resumed a few days after the shoeing practice. The pony underwent routine exercise training while continuously fitting with the Z-bar shoe for 24 weeks without recurrent lameness or complications. Application of z-bar shoe showed the potential for long-term foot pain management during an exercise training regimen in a show jumping pony with uniaxial palmar pain. © 2022 Kanokpan Sanigavatee et al.

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Analysis of neural network algorithm in determining high school student department

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IOP Conference Series: Materials science and Engineering 2020年第1期725卷

作者： Novriadi Antonius Siagian Muhammad Zarlis Zakarias Situmorang Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

In senior high schools, especially in the first class were required to place a department that is in accordance with the value produced. The application predicts student majors based on the value of students using artificial neural network algorithms using rapid miner to be able to produce more precise and faster accuracy results. The results obtained from the analysis carried out obtained an accuracy value of 71.86%.ANN has a network architecture that is a single layer net. Networks that have more than one layer are called multilayer net and competitive layer networks (competitive layer net). The shape of a multilayer net 1 or more has between the input layer and the output layer, which weighs between 2 adjacent layers. ANN architecture using 3 layers is 7 input layers, 6 hidden layers, and 2 output layers. 20 neurons are the number of neuron outputs to artificial neural networks

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Analysis of algorithm support vector machine learning and k-nearest neighbor in data accuracy

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IOP Conference Series: Materials science and Engineering 2020年第1期725卷

作者： Nuranisah Syahril Efendi Poltak Sihombing Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

K-Nearest Neighbor is a method of lazy learning method which is a group of instances-based learning. K-NN searches by searching for groups of objects in the training data that are closest to the object on new data or testing data. Support Vector Machine is a learning machine method that works with the aim of finding the best hyperplane that separates two classes in input space. school Achievement is an achievement obtained by serious learning and discipline. The category of outstanding students is to get a good average score and not have an attendance list, especially Absent (A) and a list of late attendance at school can be classified to obtain information on the accuracy of the data being tested. In the testing process both methods obtained good accuracy results between the two methods, namely K-NN obtained an accuracy of 88.52% while SVM is 91.07%.

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