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11th Asia Joint Conference on information Security, AsiaJCIS 2016

作者： Kuo, Wen-Chung Li, Jyun-Jia Wang, Chun-Cheng Wuu, Lih-Chyau Huang, Yu-Chih Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology Taiwan Department of Information Management Tainan University of Technology Taiwan

ISBN: (纸本)9781509022854

Recently, a modified data hiding scheme based on pixel value differencing and improving exploiting modification directions is proposed by Shen and Huang. There are two major contributions in this scheme. One is to enhance the embedding rate and good embedding capacity and the other is an optimization problem used to solve the overflow/ underflow problem. In fact, they propose the similar brute force method to solve overflow/underflow problem in their proposed scheme. To overcome the overflow/underflow problem exactly, we will propose the close form to solve this problem in this paper. Then, an improvement data hiding scheme based on FFEMD (Formula Fully Exploiting Modification Directions) and pixel value differencing method is proposed. According to our analysis, it is not only to keep the advantages of Shen-Huang scheme but also to use the close form to solve the overflow/ underflow problem. © 2016 IEEE.

关键词： Pixels

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SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions

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IEEE Transactions on Neural Networks and Learning Systems 2023年第8期34卷 5122-5132页

作者： Huang, Shih-Chia Hoang, Quoc-Viet Le, Trung-Hieu National Taipei University of Technology Department of Electronic Engineering Taipei10608 Taiwan National Taipei University of Technology International Graduate Program in Electrical Engineering and Computer Science Taipei10608 Taiwan Hung Yen University of Technology and Education Faculty of Information Technology Hungyen 17000 Viet Nam

In recent years, object detection approaches using deep convolutional neural networks (CNNs) have derived major advances in normal images. However, such success is hardly achieved with rainy images due to lack of visibility. Aiming to bridge this gap, in this article, we present a novel selective features absorption network (SFA-Net) to improve the performance of object detection not only in rainy weather conditions but also in favorable weather conditions. SFA-Net accomplishes this objective by utilizing three subnetworks, where the feature selection subnetwork is concatenated with the object detection subnetwork through the feature absorption subnetwork to form a unified model. To promote further advancement in object detection impaired by rain, we propose a large-scale rainy image dataset, named srRain, which contains both synthetic rainy images and real-world rainy images for training and testing purposes. srRain is comprised of 25 900 rainy images depicting diverse driving scenarios in the presence of rain with a total of 181 164 instances interpreting five common object categories. Experimental results display that our SFA-Net reaches the highest mean average precision (mAP) of 77.53% on a normal image set, 62.52% on a synthetic rainy image set, 37.34% on a collected natural rainy image set, and 32.86% on a published real rainy image set, surpassing current state-of-the-art object detectors and the combination of image deraining and object detection models while retaining a high speed. © 2012 IEEE.

关键词： Feature extraction

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Effect of proteases on water-soluble and fat-soluble aroma precursors of goat visceras protein hydrolysate

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Food Bioscience 2022年第3期47卷 975-985页

作者： Ana Rita Ribeiro de Araújo Cordeiro Lorena Lucena de Medeiros Lary de Souza Olegário Leila Moreira de Carvalho Taliana Kenia Alencar Bezerra Maria Teresa Bertoldo Pacheco Mércia de Sousa Galvão Marta Suely Madruga Post Graduate Program in Food Science and Technology Department of Food EngineeringTechnology CentreFederal University of ParaibaCampus I58051-900João PessoaParaíbaBrazil Food Technology Institute (ITAL).Science and Food Quality Center 13070-179CampinasSão PauloBrazil

This study investigated the action of proteolytic enzymes in the production of goat viscera hydrolysates,and their flavoring *** study focus the production of flavor precursor molecules and the formation of volatile compounds resulting from four hydrolysis treatments:HA-Alcalase®,HF-Flavourzyme®,HN-Neutrase®,and HFN-Flavourzyme® and Neutrase®.The highest degree of hydrolysis (26.74%),number (23 volatiles) and concentration of volatile compounds (274.0 μg/L) were obtained with the action of *** main classes of volatile compounds identified in hydrolysates included acids,aldehydes,pyrazines,terpenes and Streacker *** acids,sugars and fatty acids were identified with higher concentrations in HF and HFN hydrolysates due to the low participation of these precursors in the formation of volatile ***,the use of Alcalase in the proteolysis of goat viscera stood out compared to other enzymes,providing impacting aroma compounds,such as pyrazines,for meat flavor.

关键词： Aroma precursors Flavoring Goat byproducts Proteases Enzymatic hydrolysates Volatile compounds

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Linkedin's Influence on User Success in The Professional World 9

Linkedin's Influence on User Success in The Professional Wor...

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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Oktavia, Tanty Roekman, Faza Fakhriansyah Putera, Muhammad Ikhsan Hidayah, Muhammad Alif Rafi, Muhammad Hosoda, Takaaki Gaol, Ford Lumban BINUS Graduate Program Information System Management Bina Nusantara University Information System Management Department Jakarta Indonesia School of Information Systems Bina Nusantara University Information System Department Jakarta Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan BINUS Graduate Program Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Social media has now become a place for others to exchange information in the form of writing, photos, videos, and audio. Social media has become a place for humans to interact from all over the world. In the use of social media, attractive professional information is conceptualized as access to relevant information and opening up better career opportunities. User content about work and choosing personal information compilation strategies consistently predict information usefulness. This study discusses the effect of using a linked-in application on the success of its users in the professional world. It is hoped that it can provide insight into the use of this recruitment application, making it easier for users to find work. The research model used in this research is quantitative. The survey was conducted on connected users in Indonesia using an online questionnaire, and the data collected was analyzed using PLS-SEM. Of the 68 respondents who took the survey, it can be said that all research models have a positive relationship with the successful use of the linked-in platform. © 2022 IEEE.

关键词： Surveys

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Evaluation model of knowledge management systems implementation using factor analysis and regresion analysis at the corporation 3

Evaluation model of knowledge management systems implementat...

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3rd International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2019

作者： Sardjono, W. Selviyanti, E. Perdana, W.G. Information Systems Management Department Bina Nusantara University Jakarta Indonesia Health Department Politeknik Negeri Jember Jawa Timur Indonesia Post Graduate Program of Environmental Science School of Environmental Science Indonesia

The ability to manage knowledge is becoming increasingly important in today's knowledge economy, especially for companies. In order to obtain the effectiveness of the process of sharing knowledge within the company, it is necessary to evaluate the implementation of the knowledge management system that is currently running. The purpose of knowledge management is to change the paradigm of existing knowledge in employees into knowledge that can explicitly become corporate or organizational knowledge, so that the company can be used to improve employee performance because there are sufficiently managed references or knowledge or experience or expertise that has been collected and disseminated by previous *** data obtained were then analyzed using the factor analysis method, and the results that five factors can affect employee performance through knowledge management systems implementation, these are the factors: human resources ability, effective information, knowledge management systems, Quality for Users, accurate information transfer, and adequate IT Infrastructure. Furthermore, from these five factors by using linear regression analysis a mathematical model can be built which can be simulated to illustrate the results of the evaluation. © Published under licence by IOP Publishing Ltd.

关键词： Knowledge management

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The application of the factor analysis method to determine the performance of IT implementation in companies based on the IT balanced scorecard measurement method 3

The application of the factor analysis method to determine t...

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3rd International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2019

The purpose of this paper is to provide an overview of how to measure the performance of information technology implementation in a company by using factor analysis and regression analysis methods. From the resulting mathematical model, it can be used to make predictions and make strategies in the implementation of information technology in the future. The concept was developed from the IT Balanced Scorecard (IT BSC) theory which was developed by constructing each of the existing perspectives to obtain indicators which are then used as a research instrument in the form of a questionnaire. Data were collected by distributing questionnaires to 75 respondents, but only 70 questionnaires were complete and valid for this study. The data obtained were then analyzed using the factor analysis method. The analysis shows that there are four factors that affect the performance of IT implementation, namely: IT Competency, IT Service Capability, Business Continuity, and IT improvement. © Published under licence by IOP Publishing Ltd.

关键词： Factor analysis

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An Efficient Three-Factor Authenticated Key Agreement Technique Using FCM Under HC-IoT Architectures

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Computers, Materials & Continua 2022年第7期72卷 1373-1389页

作者： Chandrashekhar Meshram Agbotiname Lucky Imoize Sajjad Shaukat Jamal Parkash Tambare Adel R.Alharbi Iqtadar Hussain Department of Post Graduate Studies and Research in Mathematics Jayawanti Haksar Government Post-Graduation CollegeCollege of Chhindwara UniversityBetul460001M.P.India Department of Electrical and Electronics Engineering Faculty of EngineeringUniversity of LagosAkokaLagos100213Nigeria Department of Electrical Engineering and Information Technology Institute of Digital CommunicationRuhr University44801BochumGermany Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia Water Resources&Applied Mathematics Research Lab Nagpur440027India College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar

The Human-Centered Internet of Things(HC-IoT)is fast becoming a hotbed of security and privacy *** users can establish a common session key through a trusted server over an open communication channel using a three-party authenticated key *** of the early authenticated key agreement systems relied on pairing,hashing,or modular exponentiation processes that are computationally intensive and *** order to address this problem,this paper offers a new three-party authenticated key agreement technique based on fractional chaotic *** new scheme uses fractional chaotic maps and supports the dynamic sensing of HC-IoT devices in the network architecture without a password *** projected security scheme utilized a hash function,which works well for the resource-limited HC-IoT *** results show that our new technique is resistant to password guessing attacks since it does not use a ***,our approach provides users with comprehensive privacy protection,ensuring that a user forgery attack causes no ***,our new technique offers better security features than the techniques currently available in the literature.

关键词： Three-party authenticated key agreement anonymity fractional chaotic maps Chebyshev polynomial password table human-centered internet of things(HC-IoT)

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Quality Analysis the E-PASTI System to Determine the Condition of the System and information Quality

Quality Analysis the E-PASTI System to Determine the Conditi...

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2019 International Conference of Science and information technology in Smart Administration, ICSINTeSA 2019

作者： Nugraha, Bayu Marleny, Finki Dona Sfenrianto, Sfenrianto Edwina, Cinthya Information System Program Faculty of Science and Technology Sari Mulia University South Kalimantan Banjarmasin Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

The purpose of this study is to evaluate the quality of secretarial, financial and staffing information systems at the Directorate General of AHU, known as the E-PASTI system. There are two variables analysed, namely system quality and information quality. Data collection using questionnaires that distributed to 123 employees who used the E-PASTI system but returned 93 questionnaires. Data quality analyst uses descriptive quantitative method. The results of the study are several conditions related to the system and information quality of E-PASTI. The quality can be a reference for the AHU Directorate General to improve the quality of E-PASTI that suits the needs of employees. © Published under licence by IOP Publishing Ltd.

关键词： Personnel

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Placement of information systems as a strategic tool for achieving company objectives 7

Placement of information systems as a strategic tool for ach...

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7th information Systems International Conference, ISICO 2023

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Cholidin, Achmad Salim, Guntur Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No.11 Jakarta Timur Jakarta13220 Indonesia Law Study Program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jl. Kyai Tapa No. 1 Grogol Jakarta11440 Indonesia

The information system is a strategic tool for the goals but is considered not optimal because there are indications that long-term target strategies have not been achieved. it is necessary to identify the factors that influence this success so that a model can be built that describes the achievement of the company's strategic objectives. The research was conducted with a quantitative approach through an analysis of data using factor analysis and regression analysis. The results of the study show three factors that influence strategic goals in companies, namely Leadership & Organizational, Goals Visualization, and Enterprise-wide Awareness. © 2023 The Authors. Published by Elsevier B.V.

关键词： Factor analysis

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Sentiment analysis on Bahasa Indonesia tweets using Unibigram models and machine learning techniques 3

Sentiment analysis on Bahasa Indonesia tweets using Unibigra...

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3rd Annual Applied Science and Engineering Conference, AASEC 2018

作者： Iswanto, B.H. Poerwoto, V. Complex Systems Research Group Department of Physics Universitas Negeri Jakarta Indonesia Graduate Program in Information Technology Bina Nusantara University Indonesia

Sentiment analysis on English tweets has its challenges. In addition to frequent use of the informal language, the words used are usually less consistent, contain abbreviations, and mixed with local languages. In this study, we combined n-grams feature selection models, i.e., unigrams, bigrams, and unibigram (1 + 2-grams) to analyze the public opinion of the Bahasa Indonesia tweets about the presidential candidates of the Republic of Indonesia in the 2014 presidential election. The experiment was carried out using Naive Bayes classifiers, Maximum Entropy classifiers, and Support Vector Machines with and without stop words removal and stemming in pre-processed tweet documents. The experiment results show the best performance is achieved by Naïve Bayes classifiers with unibigram feature models without removing the stop words and stemming process. This method achieved high performance with the precision and recall up to 85.50% indicating that automatic sentiment analysis of tweet documents using well-known supervised learning methods is feasible for the Indonesian language. More interestingly is the fact that stop words removal and stemming process on the corpus made the classification performances worse compared with the corpus that experienced cleansing only. © Published under licence by IOP Publishing Ltd.

关键词： Sentiment analysis

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