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Avoiding Lookup Table in AES Algorithm 6

Avoiding Lookup Table in AES Algorithm

引用

6th International Conference on Informatics and Computing, ICIC 2021

作者： Prayitno, Ragiel Hadi Sudiro, Sunny Arief Madenda, Sarifuddin Gunadarma University Doctoral Program in Information Technology Jakarta Indonesia STMIK Jakarta STIK Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9781665421553

This article describes the AES encryption and decryption process without using lookup tables in the MixColumns transformation. The encryption process consists of transforming subbytes, shiftrows, mixcolumns and addroundkey. The process was carried out for 10 rounds, but in round 10 the mixcolumns transformation was not carried out. The decryption process consists of inverse mixcolumns, inverse shiftrows, inverse subbytes and addroundkey. In this study, the AES encryption and decryption process was carried out using two methods, namely based on the lookup table and without using the lookup table on the MC/IMC transformation. The method in this article is applied to Matlab software. The experimental results show that the encryption and decryption process using a lookup table is slower than the method without a lookup table. The encryption process without a lookup table on the MC transformation takes 0.091 seconds while using a lookup table takes 0.399 seconds. The decryption process without a lookup table on the IMC transformation takes 0.149 seconds while using a lookup table takes 0.206 seconds. © 2021 IEEE.

关键词： Cryptography

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New Architecture Quantum Perceptron using Quantum Circuit

New Architecture Quantum Perceptron using Quantum Circuit

引用

2021 International Conference on Data Science, Artificial Intelligence, and Business Analytics, DATABIA 2021

作者： Solikhun, Solikhun Efendi, Syahril Zarlis, Muhammad Sihombing, Poltak Universitas Sumatera Utara Doctoral Program Faculty of Computer Science and Information Technology Medan Indonesia Universitas Sumatera Utara Faculty of Computer Science and Information Technology Medan Indonesia

ISBN: (纸本)9781665426800

the learning algorithm that is not optimal is due to the incomplete use of quantum in the perceptron quantum learning algorithm which is the background of this research. Previous research has shown that the proposed architectural form still needs to increase its probability value to be more optimal. The previous probability was 90.7%. The proposed model is a quantum circuit architecture in a quantum perceptron algorithm consisting of a quantum bit gate. The researchers conducted training and testing of the proposed quantum circuit architecture using quantum computer of the IBM Quantum Experience. This research produces a perceptron quantum architecture model using a quantum circuit that can solve problems regarding data classification. After measuring the proposed quantum circuit architecture, it shows a 100% probability. After training and testing, the probability is 100%, the same as that at the time of measurement. Then it produces the same output of |111100000000000000〉. The resulting probability shows a significant increase from the previous 90, 7%. © 2021 IEEE.

关键词： Probability

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Relational database reconstruction from SQL to Entity Relational Diagrams 4

Relational database reconstruction from SQL to Entity Relati...

引用

4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Hakim Lubis, Juanda Muisa Zamzami, Elviawaty Faculty of Computer Science and Information Technology Doctoral Program of Computer Science Studies Universitas Sumatera Utara Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Indonesia

The absence of requirement documents or incompatibility of the requirement documents with existing software can be a problem in developing or maintaining software. Without knowing things that become requirements can cause software as a product that fails because it does not meet customer desires. One of the main problems in developing or maintaining software is that developers do not know the entity relational schema of the software. So developers will prefer to rebuild from scratch. This paper discusses database reconstruction from SQL to entity relational diagrams by identifying the primary and foreign keys of SQL sampling. © Published under licence by IOP Publishing Ltd.

关键词： Condensed matter physics

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A light-weight ranger intrusion detection system on wireless sensor networks

A light-weight ranger intrusion detection system on wireless...

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5th International Conference on Genetic and Evolutionary Computing, ICGEC2011

作者： Hsieh, Chia-Fen Huang, Yung-Fa Chen, Rung-Ching Graduate Institute of Informatic Doctoral Program Choayang University of Technology Taichung Taiwan Department of Information and Communication Engineering Choayang University of Technology Taichung Taiwan Department of Information Management Choayang University of Technology Taichung Taiwan

ISBN: (纸本)9780769544496

In recent years, a lot of research concerns with the wireless sensor networks (WSN). With the increasing usages of WSN applications such as health care and disaster reporting, security requirements, wireless communication has become more critical. Researchers of intrusion detection system on WSN have suggested that systems' detecting mechanisms would likely affect their detections effective and lifetime of whole networks. Ontology can collect and organize the attributes of attacks However, those methods have empirically documented the link between ontology concept and lightweight Intrusion Detection System (IDS) is scant. Therefore, the aim of this paper attempts to explore how intrusion detection system about ontology and light-weight IDS are related. The manager constructs relationship of sensor nodes on ontology to detect Sybil attack. Combine light-weight IDS the ranger method to reduce energy consumption and the isolation tables avoid detecting anomaly repeatedly. We proposed a lightweight ontology-based IDS, which improves existence shortcomings of IDS on WSN effectively. © 2011 IEEE.

关键词： Ontology

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Leveraging Heart Rate Variability and Machine Learning for Daily Activity Classification in Healthy Adult Males 18

Leveraging Heart Rate Variability and Machine Learning for D...

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18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Ikawati, Vidya Yusuf, Rahadian Prihatmanto, Ary Setijadi Sudrajat, Tatang Saepudin, Didin Surjono, Welly Doctoral Program of School of Electrical and Information Engineering Institute of Technology Bandung Bandung Indonesia Institute of Technology Bandung Departement of Electrical and Information Engineering Bandung Indonesia Universitas Sangga Buana Bandung Indonesia

ISBN: (纸本)9798331527686

Advancements in machine learning techniques for analyzing heart rate variability (HRV) show great potential in accurately measuring various activities in the field of health monitoring. This work examines the feasibility of using non-invasive HRV data gathered during everyday activities to train machine learning models for accurate activity classification. In the field of personalization, the study focuses on the difficulty of adapting to individual differences in baseline HRV. It also acknowledges that HRV is influenced by stress, physical activity, and external influences, and that it is a dynamic measure. The experimental methodology consists of a pilot study using a retrospective observational cohort approach. It utilizes a waistband device to continuously record heart rate variability (HRV) during different daily activities. The study utilizes a thorough methodology that includes statistical data description, correlation analysis, variance analysis, outlier detection, and identification of cycle periods using power spectral density. The performance of various machine learning models, such as Random Forest, Naïve Bayes, Decision Tree, and Logistic Regression, was evaluated for activity classification. The Decision Tree model exhibited superior performance. The work provides useful insights into the potential of machine learning for HRV-based activity monitoring, highlighting the importance of collecting reliable data and developing tailored models to improve accuracy and practicality. © 2024 IEEE.

关键词： Heart

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Synthesizing and evaluating animations of american sign language verbs modeled from motion-capture data 6

Synthesizing and evaluating animations of american sign lang...

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6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2015

作者： Huenerfauth, Matt Lu, Pengfei Kacorri, Hernisa Rochester Institute of Technology Golisano College of Computing and Information Sciences United States Center CUNY Doctoral Program in Computer Science United States

ISBN: (纸本)9781941643792

Animations of American Sign Language (ASL) can make information accessible for many signers with lower levels of English literacy. Automatically synthesizing such animations is challenging because the movements of ASL signs often depend on the context in which they appear, e.g., many ASL verb movements depend on locations in the signing space the signer has associated with the verb s subject and object. This paper presents several techniques for automatically synthesizing novel instances of ASL verbs whose motion-path and hand-orientation must accurately reflect the subject and object locations in 3D space, including enhancements to to prior state-of-The-Art models. Using these models, animation generation software could produce an infinite variety of indicating verb instances. Using a corpus of motion-capture recordings of multiple performances of eight ASL indicating verbs, we modeled the signer s hand locations and orientations during each verb, dependent upon the location in the signing space where the subject and object were positioned. In a user study, ASL signers watched animations that included verbs synthesized from these models, and we found that they had similar quality to those produced by a human animator. © SLPAT 2015 - 6th Workshop on Speech and Language Processing for Assistive Technologies, Proceedings.

关键词： Animation

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Evaluating a dynamic timewarping based scoring algorithm for facial expressions in asl animations 6

Evaluating a dynamic timewarping based scoring algorithm for...

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6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2015

作者： Kacorri, Hernisa Huenerfauth, Matt Center CUNY Doctoral Program in Computer Science United States Rochester Institute of Technology Golisano College of Computing and Information Sciences United States

ISBN: (纸本)9781941643792

Advancing the automatic synthesis of linguistically accurate and natural-looking American Sign Language (ASL) animations from an easy-To-update script would increase information accessibility for many people who are deaf by facilitating more ASL content to websites and media. We are investigating the production of ASL grammatical facial expressions and head movements coordinated with the manual signs that are crucial for the interpretation of signed sentences. It would be useful for researchers to have an automatic scoring algorithm that could be used to rate the similarity of two animation sequences of ASL facial movements (or an animation sequence and a motioncapture recording of a human signer). We present a novel, sign-language specific similarity scoring algorithm, based on Dynamic Time Warping (DTW), for facial expression performances and the results of a user-study in which the predictions of this algorithm were compared to the judgments of ASL signers. We found that our algorithm had significant correlations with participants comprehension scores for the animations and the degree to which they reported noticing specific facial expressions. © SLPAT 2015 - 6th Workshop on Speech and Language Processing for Assistive Technologies, Proceedings.

关键词： Animation

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Cross-camera vehicle tracking via affine invariant object matching for video forensics applications

Cross-camera vehicle tracking via affine invariant object ma...

引用

2013 IEEE International Conference on Multimedia and Expo, ICME 2013

作者： Hsu, Chao-Yung Kang, Li-Wei Mark Liao, Hong-Yuan Institute of Information Science Academia Sinica Taipei Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781479900152

The recent deployment of very large-scale camera networks consisting of fixed/moving surveillance cameras and vehicle video recorders, has led to a novel field in object tracking problem. The major goal is to detect and track each vehicle within a large area, which can be applied to video forensics. For example, a suspected vehicle can be automatically identified for mining digital criminal evidences from a large amount of video data. In this paper, we propose an efficient cross-camera vehicle tracking technique via affine invariant object matching. More specifically, we formulate the problem as invariant image feature matching among different viewpoints of cameras. To achieve vehicle matching, we first extract invariant image feature based on ASIFT (affine and scale-invariant feature transform) for each detected vehicle in a camera network. Then, to improve the accuracy of ASIFT feature matching between images from different viewpoints, we propose to efficiently match feature points based on our observed spatially invariant property of ASIFT, as well as the min-hash technique. As a result, cross-camera vehicle tracking can be efficiently and accurately achieved. Experimental results demonstrate the efficacy of the proposed algorithm and the feasibility to video forensics applications. © 2013 IEEE.

关键词： Tracking (position)

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Classification of Land Cover from Sentinel-2 Imagery Using Supervised Classification Technique (Preliminary Study) 3

Classification of Land Cover from Sentinel-2 Imagery Using S...

引用

3rd International Conference on information Management and technology, ICIMTech 2018

作者： Miranda, Eka Mutiara, Achmad Benny Ernastuti Wibowo, Wahvu Catur Information Systems Department Doctoral Program in Information Technology Gunadarma University School of Information Systems Bina Nusantara University Jakarta Indonesia Faculty of Computer Science and Information Technology Gunadarma University Jakarta Indonesia Computer Science Faculty Universitas Jakarta Indonesia

ISBN: (纸本)9781538658215

This paper intended to classify land cover of high-resolution satellite image using supervised classification method. The object of this research was the land cover image of the central Java area in Indonesia which chosen as an area observed with the cloud cover consideration. The Satellite image was obtained from Sentinel-2 through https://***. Supervised Classification and ArcMap 10.5 was used to classified image object. This research classified the land cover into four classifications class namely Water, Forest, Urban and Bare Land due to show the main classes in the Land Cover Classification of RSNI-l National Standardization Body of Indonesia, RSNI-l was used as reference for classification process. The confusion matrix used to calculate classification accuracy value. Subsequently, confusion matrix results compared to the truth information. The truth information was derived from the actual value of RASTERVALUE obtained from Google Earth. This research shown supervised classification maximum-likelihood classification has been classified land cover into four class (forest, water body, urban and bare land) with overall accuracy = 1 and kappa value = 0.4896. This result showed this research got moderate kappa accuracy value but high overall accuracy value. High accuracy value reached due to fully supervised experiment during classification process. © 2018 IEEE.

关键词： Standardization

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Expert System Diagnosis Corn Pests and Diseases Using Certainty Factor Method 2

Expert System Diagnosis Corn Pests and Diseases Using Certai...

引用

2nd International Conference on Mechanical, Electronics, Computer, and Industrial technology, MECnIT 2018

作者： Sulindawaty Zarlis, Muhammad Situmorang, Zakarias Sihotang, Hengki Tamando Doctoral Program Faculty of Computer Science and InformationTechnology Universitas Sumatera Utara Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Indonesia

The development of technology has been very significant, not only in the fields of information, industry, education, but in agriculture. Therefore technological sophistication is also utilized by corn farmers to obtain information about corn crops. Corn is included in plantation commodities in Indonesia. However, in corn cultivation there are various problems associated with the disease that is likely to attack the plant. Therefore, the authors designed the expert system of corn disease diagnosis using certainty method. This system will analyze based on symptoms - symptoms that are in the input by the user so that in obtaining a result of disease identification on corn in the name of the disease, the cause of the disease, the percentage value and how to handle it. This expert system is developed by using the visual basic application and Microsoft Access database with Certainty Factor method to measure the value of certainty of a hypothesis against a fact. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Expert systems

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