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2020 International Conference on computer Science and Its Application in Agriculture, ICOSICA 2020

作者： Tosida, Eneng Tita Herdiyeni, Yeni Suprehatin, Suprehatin Marimin IPB University Computer Science Dept. Bogor Indonesia IPB University Agrobusiness Dept. Bogor Indonesia IPB University Industrial Technology Dept. Bogor Indonesia

ISBN: (纸本)9781728169071

Smart village is one of the solutions to reduce poverty in rural areas. The main objective of this research is to map the potential implementation of the concept of smart villages based on big data analytics in Indonesia. This research was conducted through the elaboration of text mining-based Systematic Literature Review (SLR) with multiple regression analysis of the 2018 Village Potential Data in Indonesia. The contribution of this study is the production of a map describing the potential for implementing smart villages based on big data analytics in Indonesia. SLR cluster analysis produces a dendrogram that maps the basic terminology of smart villages based on big data analytic. Indonesia has quite substantial economic and social capital resources, which has a positive effect on the poor and farmers/fishermen (R2 = 0.9759 and 0.9482) in the villages. This occurs through a mix of regional budget revenue (APBD) and local self-subsistent (Swadaya) funding schemes in the management of agricultural and non-agricultural small businesses in the village. Indonesia also has sufficient capital for managing information and communication technology (ICT) in the village for the development of big data analytic smart villages. There is a relatively strong influence on the poor and farmers/fishermen (R2 = 0.5946 and 0.6006). Therefore, the challenge for future research to develop a smart village model based on big data analytics that is appropriate to the territory of Indonesia. This model needs to be elaborated with diverse factors including economic, social, cultural and smart educational potential as well should include indicators of the potential for data technology available on various media, through the framework of agriculture big data analytic. © 2020 IEEE.

关键词： Data Analytics

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Analysis on Quantum Cryptographic Approaches for Image Encryption 3

Analysis on Quantum Cryptographic Approaches for Image Encry...

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3rd IEEE International Conference on Intelligent Technologies, CONIT 2023

作者： Satre, Shilpa M. Joshi, Bharti Deemed to Be University Bharati Vidyapeeth College of Engineering Ramrao Adik Institute of Technology University of Mumbai Dept. of Computer Engineering Navi-Mumbai India Ramrao Adik Institute of Technology Deemed to Be University Dept. of Computer Engineering Navi-Mumbai India

ISBN: (纸本)9798350338607

To secure and protect the photos from unfair tactics, the encryption process is used. the advent of the digital era has made it exceedingly easy to hack any data kept on the cloud. Encryption is critical to ensuring communication security, which is a crucial issue. There are numerous photo encryption methods that mostly rely on chaotic logistic maps;however, they have downsides such a small key space and low security. Current analysis introduced experimental results of quantum chaotic cryptosystem,3D-Chaotic map and quantum chaotic logistic map. This paper we measure image encryption parameters are Entropy, structural similarity index measure, combined average changing intensity and net pixel change rate which defines utilization of suitable image encryption approaches. For the cypher and the original image, we quantify the correlation coefficient value in both the horizontal and vertical positions with comparison of all three existing Approach-es performance. The scientific and practical economic results reveal that the quantum chaotic cryptosystem has outstanding performance and in future with utilization of advanced Approaches we can resist various cryptographic attacks. © 2023 IEEE.

关键词： Cryptography

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Detecting Routing Protocol Low Power and Lossy Network Attacks Using Machine Learning Techniques 21

Detecting Routing Protocol Low Power and Lossy Network Attac...

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21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

作者： Kareem, Aythem Khairi Shaban, Ali Muwafaq Adil Nafea, Ahmed Aljanabi, Mohammad Aliesawi, Salah A. S. Mal-Ani, Mohammed General Directorate of Education in Anbar Ministry of Education Dept. of Heet Education Anbar Heet31007 Iraq College of Computer Science and IT University of Anbar Dept. Information System Ramadi Iraq College of Computer Science and IT University of Anbar Dept. Artificail Inteligence Ramadi Iraq Dept. Imam ja'Afar AI-Sadiq University Baghdad Iraq College of Computer Science and Information Technology University of Anbar Dept. Computer Science Ramadi Iraq Selangor Bangi Malaysia

ISBN: (纸本)9798350374131

The Internet of Things (loT) has been regarded as the most critical technology due to its resource-constrained sensors transmitted via low-power wireless technologies beneath low-power lossy networks (LLNs), where the LLN has high latency and lower throughput due to its traffic patterns. The loT possesses low-cost and low-power sensor technology, which is characterised by its low energy consumption and low latency. In this study, machine learning (ML) techniques (XGBoost, NB, and LDA) are proposed for detecting low power lossy network (RPL) attacks of routing protocol utilising multiclass of normal and four different routing attacks (Flooding Attack, Blackhole Attack, Decreased Rank Attack, and DODAG version number attack). Through experimentation and evaluation, the XGBoost classifier demonstrated superior performance, achieving an accuracy of 92.45%. © 2024 IEEE.

关键词： Routing protocols

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Formalization for the agent method by using π-calculus 6th

Formalization for the agent method by using π-calculus

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6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000

作者： Iwata, Kazunori Ito, Nobuhiro Ishii, Naohiro Dept. of Intelligence and Computer Science Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya466-8555 Japan Dept. of Electrical and Computer Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya466-8555 Japan

ISBN: (纸本)3540679251

In a real-time, dynamically-changing environment, software agents have the following big two problems in executing their methods. If the environment is the real-time world, then the delay to calculate the parameters, which are referred to by a method, causes the delay to execute the method. In the second case, if the environment is the dynamic world, then the agents need special functions to change the reference to parameters that comes with the method. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Software agents

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Modeling hierarchical caches in content-centric networks

Modeling hierarchical caches in content-centric networks

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2013 IEEE 2013 22nd International Conference on computer Communication and Networks, ICCCN 2013

作者： Jia, Zixiao Zhang, Peng Huang, Jiwei Lin, Chuang Lui, John C. S. Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Dept. of Computer Science and Technology Tsinghua University Beijing China Dept. of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781467357746

Content-Centric Network (CCN) provides a cleanslate design for the Internet, where content becomes the primitive of communications. In CCN, routers are equipped with content stores, which act as caches for frequently requested content. This design enables the Internet to provide content distribution services without any application-layer support. On the other hand, as caches are integrated into routers, the overall performance of CCN will be influenced by the caching efficiency. This paper studies the performance issues of caches in CCN, with the aim to gain some understanding on how caches should be designed to maintain a high performance in a cost-efficient way. Specifically, we use a two-dimensional discrete-time Markov chain to model the two-layer cache hierarchy formed by CCN routers, and develop an efficient algorithm to calculate the hit ratios of these caches. Simulations validate the accuracy of our modeling method, and convey some understanding on cache design in CCN. © 2013 IEEE.

关键词： Markov processes

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SIGNIFICANCE OF INITIAL INTERPOLATION IN BAND-LIMITED SIGNAL INTERPOLATION

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1989年第1期37卷 151-152页

作者： YEGNANARAYANA, B FATHIMA, ST NEHRU, BTKR VENKATARAMANAN, B Department of Computer Science and Engineering Indian Institute of Technology Chennai India Dept. of Comput. Sci. & Eng. Indian Inst. of Technol. Madras India

An improved version of the Papoulis algorithm for bandlimited signal interpolation is presented. This algorithm uses the concept of initial interpolation. The justification for initial interpolation is developed only through experimental studies. It is shown that the performance of the interpolation scheme depends on the number and distribution of the known data samples.< >

关键词： Interpolation computer science Uncertainty Polynomials Iterative methods Signal generators Random sequences Speech processing Acoustic signal processing

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User interaction using Experttop analysis

User interaction using Experttop analysis

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IEEE International Conference on Advances in Communication and Computing Technologies, ICACACT 2014

作者： Patil, Sushant Computer Engineering Dept. St. Francis Institute of Technology Mumbai University Mumbai400103 India

ISBN: (纸本)9781479973194

To look for expertise, continuous interaction with expert systems is necessary. In many of these systems, it is complicated for a user to decide whether the answer obtained is from a reliable and authenticated source. To overcome this issue, this study provides a new ranking algorithm, i.e., "ExpertTop" algorithm, which allows users to obtain accurate answers from reliable and authenticated sources. ExpertTop algorithm ranks the system experts based on experience and feedback provided through scores by the users and the co-experts within the system. For classifying the user's query, Naïve Bayesian algorithm is used. ExpertTop algorithm will assist users in obtaining results from reliable and authenticated sources, which will provide them satisfactory experience. ©2014 IEEE.

关键词： Expert systems

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Adaptive region based Huffman compression technique with selective code interchanging

Adaptive region based Huffman compression technique with sel...

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2nd International Conference on Advances in Computing and Information technology, ACITY-2012

作者： Nandi, Utpal Mandal, Jyotsna Kumar Dept. of Computer Sc. and Engg. Academy of Technology Hooghly-712121 West Bengal India Dept. of Computer Sc. and Engg. University of Kalyani Nadia-741235 West Bengal India

ISBN: (纸本)9783642315121

Adaptive version of loss-less Region Based Huffman compression techniques are proposed where a proposed region formation algorithm is used to divide the input file into a number of regions that adapts region size depending on the ASCII value difference of symbols. Huffman codes are obtained for entire file after formation of regions. Code interchanging between the maximum frequency element of a region and maximum frequency element of entire file is done before symbols of that region are compressed. Another variation of the technique where region wise interchanging of code is done based on an additional condition. Comparisons are made among these two compression techniques with Region Based Huffman compression technique, Size Adaptive Region Based Huffman compression technique and classical Huffman technique. The proposed techniques offer better results for most of the files. © 2012 Springer-Verlag.

关键词： Codes (symbols)

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Fault Tolerance Based Comparative Analysis of Scheduling Algorithms in Cloud Computing

Fault Tolerance Based Comparative Analysis of Scheduling Alg...

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2018 International Conference on Circuits and Systems in Digital Enterprise technology, ICCSDET 2018

作者： Pandita, Archana Upadhyay, Prabhat Kumar Joshi, Nisheeth Dept. of Computer Science and Engg. Birla Institute of Technology Ras Al Khaimah United Arab Emirates Dept. of Electrical and Electronics Engg Birla Institute of Technology Mesra India Department of Computer Science Banasthali University Rajasthan India

ISBN: (纸本)9781538605769

Cloud computing is being paid a lot of consideration both in scholastics and ventures, from exploring researchers to clients. Cloud computing is a membership-based administration which gives arranged storage and PC assets. With the beginning of this pay-per-use innovation, the application facilitating, capacity, conveyance and cost of computing are diminished considerably. With all the advantages of cloud computing there are certain flaws like fault tolerance associated with them. There are many models of fault tolerance given by different researchers which have their own benefits and limitations. In this paper, we aim to study and compare various scheduling algorithms in cloud computing with respect to fault tolerance. The pros and cons of these algorithms are also briefly discussed for comparison. There are a lot of findings going on in the area of fault tolerance in cloud computing and this study will definitely help the researchers to build an efficient fault tolerance framework. This analysis can also be employed for evaluating appropriate framework. © 2018 IEEE.

关键词： Cloud computing

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F2 - New technique for recognition of user emotional states in spoken dialogue systems

F2 - New technique for recognition of user emotional states ...

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11th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2010

作者： López-Cózar, Ramón Jan, Silovsky Griol, David Dept. of Languages and Computer Systems CTIC-UGR University of Granada Spain Institute of Information Technology and Electronics Technical University of Liberec Czech Republic Dept. of Computer Science Carlos III University of Madrid Spain

ISBN: (纸本)9781932432855

In this paper we propose a new technique to enhance emotion recognition by combining in different ways what we call emotion predictions. The technique is called F2 as the combination is based on a double fusion process. The input to the first fusion phase is the output of a number of classifiers which deal with different types of information regarding each sentence uttered by the user. The output of this process is the input to the second fusion stage, which provides as output the most likely emotional category. Experiments have been carried out using a previously-developed spoken dialogue system designed for the fast food domain. Results obtained considering three and two emotional categories show that our technique outperforms the standard single fusion technique by 2.25% and 3.35% absolute, respectively. © 2010 Association for Computational Linguistics.

关键词： Emotion Recognition

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