检索结果-内蒙古大学图书馆

Face recognition system using Viola Jones, histograms of oriented gradients and multi-class support vector machine

Journal of Physics: Conference Series 2019年第4期1341卷

作者： M Arafah A Achmad Indrabayu I S Areni Doctoral Student of Electrical Engineering Department Hasanuddin University Makassar Indonesia Informatics Study Program STMIK AKBA Makassar Indonesia Department of Electrical Engineering Hasanuddin University Makassar Indonesia Department of Informatics Hasanuddin University Makassar Indonesia

This study aims to determine the best distance to install a CCTV camera in identifying a person's face in the passenger inspection area at the airport, which can be developed for suspect detection systems. The training data used is in the form of an image with five different angles per person, while the testing data is in the form of video. The initial stage conducted is face detection based on local features (a pair of eyes, nose, and mouth) in the input data using the Viola-Jones method. The face detection results process with pre-processing, feature extraction, and classification. In the pre-processing stage, the Brightness Enhancement (BE), Grayscale and Contrast Limited Adaptive Histogram Equalization (CLAHE) methods are used to improve the quality of the detected face. Furthermore, the feature extraction and classification stages use the Histogram of Oriented Gradient (HOG) and the Multi-class Support Vector Machine (MSVM) methods, respectively. The result shows that the best accuracy obtained is 86.76% for a CCTV camera distance of 300 cm and a height of 250 cm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An indoor video-based for single face identification among people

引用

Journal of Physics: Conference Series 2019年第4期1341卷

作者： Indrabayu I S Areni M Arafah Jusman M P Rachmat I Nurtanio Informatics Department Hasanuddin University Makassar Indonesia Electrical Engineering Department Hasanuddin University Makassar Indonesia Informatics Study Program STMIK AKBA Makassar Indonesia Communication and Information Department Makassar City Official Makassar Indonesia Student of Informatics Department Hasanuddin University Makassar Indonesia

The purpose of this research is to build a system that can detect certain face among several people. The system works using face recognition in searching suspects from a database. 30 images and 9 videos are used for training and testing. In the training process carried out several stages: (1) pre-processing of face images, (2) extraction of facial image training features using the Histogram of Oriented Gradient (HOG) method, (3) face classification using the SVM method. There are several steps for testing process i.e.: (1) video frame extraction, (2) cascade classifier method with the Local Binary Pattern (LBP) feature descriptor, (3) HOG for extracting facial features detected in the frames, and (4) SVM as the face classifier. The processed video data is 1920x1080 pixel resolution which has been recorded using a CCTV camera which is mounted on a wall with height and slope angle of 2.5 meters and 60 degrees. There are two goals implemented in this research. The first goal is to find the highest accuracy from several testing of frame sampling by setting the best threshold value. The second goal is to find the lowest processing time.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Molecular docking study of fatty acids from Pliek U Oil in the inhibition of SARS-CoV-2 protein and enzymes

引用

IOP Conference Series: Materials Science and Engineering 2021年第1期1087卷

作者： K Khairan R Idroes S G Tumilaar T E Tallei G M Idroes F Rahmadhany M U Futri N M Dinura S Mauliza M Diana C P Maisarah A Maulana T R Noviandy R Suhendra Muslem N Earlia Department of Pharmacy Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Chemistry Universitas Syiah Kuala Banda Aceh 23111 Indonesia Pharmacy Study Program Universitas Sam Ratulangi Manado 95115 Indonesia Department of Biology Universitas Sam Ratulangi Manado 95115 Indonesia Department of Chemical Engineering UniversitasSyiah Kuala Banda Aceh 23111 Indonesia Department of Informatics Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Chemistry Universitas Islam Negeri Ar-Raniry Banda Aceh 23111 Indonesia General Hospital ZainoelAbidin Aceh Province Indonesia 24415

This study aimed to analyze the fatty acid inPliek U oil andevaluate its inhibitor potential based on the interaction to several proteins and enzymes in SARS-CoV-2 using the in silico approach. Pliek U oil containing capric acid, caprylic acid, lauric acid, linoleic acid, myristic acid, oleic acid, and palmitic acids, with oleic acid as a dominant substance. Molecular docking analysis showed that linoleic acid has the best interaction to the receptors with the lowest binding affinity to 3CLpro (6LU7), Spike protein (6VXX), PLpro (6WX4), RdRp (6M71), E protein (5X29), and Spike Ectodomain Structure (6VYB) of -4.9, -5.8, -4.7, -4.3, -5.3 and -5.5 kcal/mol, respectively. The finding suggests that the binding of linoleic acid to the SARS-CoV-2 protein and enzyme may cause impairment of viral attachments to host cells, thus reducing infectivity in COVID-19 patients.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Science of Precision Prevention: Research Opportunities and Clinical Applications to Reduce Cardiovascular Health Disparities

JACC: Advances

引用

JACC: Advances 2024年第1期3卷 100759-100759页

作者： Pearson, Thomas A. Vitalis, Debbie Pratt, Charlotte Campo, Rebecca Armoundas, Antonis A. Au, David Beech, Bettina Brazhnik, Olga Chute, Christopher G. Davidson, Karina W. Diez-Roux, Ana V. Fine, Lawrence J. Gabriel, Davera Groenveld, Peter Hall, Jaclyn Hamilton, Alison B. Hu, Hui Ji, Heng Kind, Amy Kraus, William E. Krumholz, Harlan Mensah, George A. Merchant, Raina M. Mozaffarian, Dariush Murray, David M. Neumark-Sztainer, Dianne Petersen, Maya Goff, David College of Medicine and College of Public Health and Health Professions University of Florida Health Science Center Gainesville FL United States Division of Cardiovascular Sciences National Heart Lung and Blood Institute National Institutes of Health Bethesda MD United States Cardiovascular Research Center Massachusetts General Hospital and Broad Institute Massachusetts Institute of Technology Cambridge MA United States Center of Innovation for Veteran-Centered and Value-Driven Care University of Washington Seattle WA United States UH Population Health University of Houston Houston TX United States Johns Hopkins Medicine Institute for Clinical and Translational Research Baltimore MD United States Institute of Health System Science Feinstein Institutes for Medical Research Northwell Health New Hyde Park NY United States Feinstein Institutes for Medical Research Northwell Health Manhasset NY United States Urban Health Collaborative Drexel Dornsife School of Public Health Philadelphia PA United States Biomedical Informatics and Data Science Section Johns Hopkins University School of Medicine Baltimore MD United States Center for Health Care Transformation and Innovation University of Pennsylvania Perelman School of Medicine Philadelphia PA United States Department of Health Outcomes and Biomedical Informatics Institute for Child Health Policy College of Medicine University of Florida Gainesville FL United States Center for the Study of Healthcare Innovation Implementation & Policy VA Greater Los Angeles Healthcare System Los Angeles CA United States Channing Division of Network Medicine Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA United States Department of Computer Science University of Illinois Urbana-Champaign Champaign IL United States Center for Health Disparities Research (CHDR) University of Wisconsin School of Medicine and Public Health Madison WI United States Duke Molecular Physiology Insti

Precision prevention embraces personalized prevention but includes broader factors such as social determinants of health to improve cardiovascular health. The quality, quantity, precision, and diversity of data relatable to individuals and communities continue to expand. New analytical methods can be applied to these data to create tools to attribute risk, which may allow a better understanding of cardiovascular health disparities. Interventions using these analytic tools should be evaluated to establish feasibility and efficacy for addressing cardiovascular disease disparities in diverse individuals and communities. Training in these approaches is important to create the next generation of scientists and practitioners in precision prevention. This state-of-the-art review is based on a workshop convened to identify current gaps in knowledge and methods used in precision prevention intervention research, discuss opportunities to expand trials of implementation science to close the health equity gaps, and expand the education and training of a diverse precision prevention workforce. © 2023 The Authors

关键词： data science health equity health promotion implementation science personalized medicine precision analytics

来源：评论

学校读者我要写书评

暂无评论

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

引用

Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Measuring Village Head Performance using Fuzzy TOPSIS Method

引用

Journal of Physics: Conference Series 2019年第1期1244卷 012005-012005页

作者： Sahabuddin, Chuduriah Basri Muslihudin, Muhammad Latifah, Nurul Irawan, Dedi Informatics Study Program Universitas Al Asyariah Mandar West Sulawesi Indonesia Department of Information System STMIK Pringsewu Lampung Indonesia Department of Islamic Education Management STIT Pringsewu Lampung Indonesia

The village head is the leader of the village in Indonesia. The village head is the leader of the village government. The tenure of the village head is six years, and can be extended for another one term is expected to run the government with a good performance in providing services to the community. So if the government officials at the village level show good performance in organizing the government. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method can help decision making in determining the performance index of the village head. This research is conduct by looking for the performance of positive and negative ideal solutions. Applications with the highest V value will occupy the top size in this system. Then the criteria for determining the performance index of the head of the village are timeliness, discipline, responsibility, leadership, presence, value. The results of the decision-making system resulted in 6 alternatives suggested performance indexes of village heads, with the highest score of Sendang Agung Village.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Sinergy of art and animation technology in multimedia performance art creation entitled sad ripu

Sinergy of art and animation technology in multimedia perfor...

引用

Conference on New Media Studies (CoNMedia)

作者： I Made Marthana Yusa Putu Satria Udyana Putra I Nyoman Agus Suarya Putra Study Program of Informatics Technology STMIK STIKOM Indonesia Denpasar INDONESIA Study Program of Informatics Technology : Multimedia Design Subject STMIK STIKOM Indonesia Denpasar Bali-Indonesia

ISBN: (纸本)9781509062850

This research is aimed to create synergistic creation between art and technology in form of multimedia performance art. It was formed in combination of motion graphic animation from contemporary Balinese ethnic designed style mask, packed in a contemporary dance performance package. This collaborative project also tries to explore the potential of ontological and terminology on multimedia, which is previously used in the performing arts world. The kinesics aesthetic aspects are explored, by aligning the motion of the contemporary dancers, with motion graphic showing the animation of the composition of the mask part, into a whole contemporary Balinese style mask. The final result of this collaborative project is able to propose a formulation of a collaborative multimedia performance art that considers the kinesics aspect as an important element that synergizes dance motion with contemporary motion graphic mask animation.

关键词： Art Animation Multimedia communication Visualization Media Collaboration

来源：评论

学校读者我要写书评

暂无评论

Bisindo information system as potential daily sign language learning

引用

AIP Conference Proceedings 2019年第1期2114卷

作者： Umi Fadlilah Decky Wismoyohadi Abd Kadir Mahamad Bana Handaga 1Electronic Study Program Faculty of Engineering Universitas Muhammadiyah Surakarta Sukoharjo Central Java Indonesia 2Informatics Study Program Faculty of Engineering Universitas Muhammadiyah Surakarta Sukoharjo Central Java Indonesia 3Computer Engineering Faculty of Electrical and Electronic Universiti Tun Hussein Onn Malaysia Parit Raja Johor Malaysia

Bisindo or Bahasa Isyarat Indonesia is one of sign language methods in Indonesia, besides SIBI or Sistem Isyarat Bahasa Indonesia. Generally, Bisindo is used by deaf people in their daily communication. Deaf people tend to have barriers to communicate with others. Yet, in the educational realm, some of them still have high spirit to continue their education until university. So, they must improve their abilities or competences in communicating with others and try to get information from around the world, for example using sophisticated technology with sign language. Information system of sign language learning is important to help deaf and heard people who want to understand the deaf conversation meaning. Bisindo information system is in website form that is built by PHP, MySQL, and sublime text 3. Based on the black box method, the Bisindo information system can run well. The results of the trial to the user describe that the maximum percentage for each level of testing is above 50% except for testing of conformity with the needs of deaf only at maximum of 42%. The Bisindo information system still has weakness, but it already gives benefits especially for deaf people in Indonesia.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Increasing accuracy of classification physical activity based on smartphone using ensemble logistic regression with boosting method

引用

Journal of Physics: Conference Series 2019年第4期1341卷

作者： Lawi, A Aziz, F Wungo, S L Department of Computer Science Universitas Hasanuddin Makassar Indonesia. 90245 Faculty of Mathematics and Natural Sciences Universitas Pancasakti Makassar Indonesia. 90132 Program Study Informatics Engineering STMIK Kreatindo Monokwari Indonesia. 98300

At present, the smartphone is equipped with several sensors such as Accelerometer, Gravity sensor, and Gyroscope which can be used to recognize human physical activities such as walking upstair and walking downstairs etc. Machine learning is needed to group data and get information. Statistical methods have poor performance in classifying because procedures must be met. To overcome this, an ensemble technique was used. This study proposes the application of the gradientboost ensemble method to classify walking upstair and walking downstairs. The *** system is designed for data retrieval using a smartphone. Then, the dataset will be partitioned into 70% training data and 30% test data. The results show that the performance of the ensemble boosting method produces 81.82% accuracy, 86.11% sensitivity and 77.50% specificity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adjusted Framework of M-Learning in Blended Learning System for Mathematics study Field of Junior High School Level VII

引用

IOP Conference Series: Materials Science and Engineering 2018年第1期336卷

作者： Lipur Sugiyanta Moch. Sukardjo Study Program of Education for Informatics and Computer Engineering/Faculty of Engineering State University of Jakarta

The 2013 curriculum requires teachers to be more productive, creative, and innovative in encouraging students to be more independent by strengthening attitudes, skills and knowledge. Teachers are given the options to create lesson plan according to the environment and conditions of their students. At the junior level, Core Competence (KI) and Basic Competence (KD) have been completely designed. In addition, there had already guidebooks, both for teacher manuals (Master's Books) and for learners (Student Books). The lesson plan and guidebooks which already exist are intended only for learning in the classroom/in-school. Many alternative classrooms and alternatives learning models opened up using educational technology. The advance of educational technology opened opportunity for combination of class interaction using mobile learning applications. Mobile learning has rapidly evolved in education for the last ten years and many initiatives have been conducted worldwide. However, few of these efforts have produced any lasting outcomes. It is evident that mobile education applications are complex and hence, will not become sustainable. Long-term sustainability remains a risk. Long-term sustainability usually was resulted from continuous adaptation to changing conditions [4]. Frameworks are therefore required to avoid sustainability pitfalls. The implementation should start from simple environment then gradually become complex through adaptation steps. Therefore, our paper developed the framework of mobile learning (m-learning) adaptation for grade 7th (junior high school). The environment setup was blended mobile learning (not full mobile learning) and emphasize on Algebra. The research is done by R&D method (research and development). Results of the framework includes requirements and adaptation steps. The adjusted m-learning framework is designed to be a guidance for teachers to adopt m-learning to support blended learning environments. During mock-up prototype, the ad

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：