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6th International Conference on information Technology, information Systems and Electrical Engineering, ICITISEE 2022

作者： Emmanuel, Gunadi Meyliana Hidayanto, Achmad Nizar Prabowo, Harjanto Bina Nusantara University Computer Science Jakarta Indonesia Fakultas Sains Dan Teknologi Unika Katolik Musi Charitas Palembang Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Universitas Indonesia Faculty of Computer Science Depok Indonesia Management Departement BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9798350399615

The drug supply chain is an important variable that will be asked when there is a shortage of drugs. The distribution and storage of drugs require accurate predictions to support the drug supply chain. Many methods have been studied to obtain a high level of prediction accuracy. One of the methods used is an artificial neural network to recognize the pattern of drug demand. It is important to find breakthroughs in artificial neural network technology to anticipate drug shortages. This study seeks to identify and find challenges from previous research in drug supply management and drug demand prediction by utilizing neural networks over the past five years. From the seven sources used, 34 articles were selected based on inclusion criteria and keyword searches according to Kitchenham's systematic review methodology. The discussion areas of the selected articles are 29% in the Logistics and Inventory area, 20% Risk - Resilience, and 18% for Drug supply chain planning which is a description of the research development area. Integrated development provides room for the use of neural networks in these three correlated areas. The model for implementing neural networks in maintaining the continuity of drug shortages is always associated with policies adopted by all drug supply chain stakeholders to anticipate drug shortages. © 2022 IEEE.

关键词： artificial neural network drugs supply chains pharmaceutical

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Fuzzy Risk Model for Research and Development Department in Clinical Laboratory

Fuzzy Risk Model for Research and Development Department in ...

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International Conference on Computing, Engineering, and Design (ICCED)

作者： Nilo Legowo Wahyu Sarjdono Eddy Susanto Ditdit Nugeraha Utama Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

information security risk is of utmost importance and a crucial concern, particularly within a clinical laboratory responsible for managing sensitive public health information. Various endeavors have been undertaken by institutions to tackle this pressing challenge effectively. This research seeks to develop a computer-based decision model for assessing information security risks. The model is scientifically constructed using the fuzzy logic method as its core approach and designed through an object-oriented approach. Impressively, the model successfully simulates 31 risk scenarios with an accuracy rate of 93.55%.

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Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning 32

Air quality assessment from social media and structured data...

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32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016

作者： Du, Xu Emebo, Onyeka Varde, Aparna Tandon, Niket Chowdhury, Sreyasi Nag Weikum, Gerhard Environmental Management Program Montclair State University MontclairNJ United States Department of Computer Science Montclair State University MontclairNJ United States Databases and Information Systems Max Planck Institute for Informatics Saarbruecken Germany

ISBN: (纸本)9781509021086

This paper describes our work on mining pollutant data to assess air quality in urban areas. Notable aspects of this work are that we mine social media and structured data in a domain-specific context, incorporate commonsense knowledge in mining media opinions and focus on the urban planning domain in a multicity environment. The results of mining are useful for predictive analysis in urbanization. A significant contribution is that we provide useful information on urban health impacts. © 2016 IEEE.

关键词： Urban planning

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Mining email transaction logs to locate significant messages and users

Mining email transaction logs to locate significant messages...

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International Conference on Advanced information management and Service

作者： Vatcharaporn Esichaikul Sumanta Guha Thanittha Niyamosatha Computer Science & Information Management Program Asian Institute of Technology Klong Luang Pathum Thani Thailand

A simple and intuitive model to mine an email transactions log for significant messages and users is presented. No use is made of NLP or semantic analysis. The model is based only on scoring messages and users from a graph-theoretic analysis of the communication pattern represented in the transaction log. Practical experiments indicate the potential of the model.

关键词： Electronic mail Analytical models Databases Organizations Postal services Communities Data mining

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Knowledge contribution in social media: Exploring factors influencing social taggers' acceptance towards contributing and sharing tags

Knowledge contribution in social media: Exploring factors in...

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6th International Conference on information Systems, management and Technology, ICISTM 2012

作者： Allam, Hesham Blustein, James Bliemel, Michael Spiteri, Louise Interdisciplinary PhD Program Dalhousie University Halifax NS Canada Faculty of Computer Science School of Information Management Dalhousie University Halifax NS Canada School of Business Administration Dalhousie University Halifax NS Canada School of Information Mangement Dalhousie University Halifax NS Canada

ISBN: (纸本)9783642291654

Based on a thorough literature review of social tagging and on technology acceptance models, we developed and empirically validated a motivational model to predict users' acceptance to add and share tagging content. Four factors successfully predicted users' intention to add and share metadata tagging content. Unlike previous studies on virtual communities, Reciprocity was found to be positively related to attitude whereas, in line with previous research, Ease of Use and Personal Productivity were confirmed to have substantial influence on users' attitude, which in turn affects the intention towards creating and sharing tagging content. Our findings are expected to shed light on developing strategies to understand and promote tagging content contribution and sharing which have the potential to increase the collective power and intelligence of the community. © 2012 Springer-Verlag.

关键词： Social networking (online)

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Monitoring email transaction logs by text-mining email contents

Monitoring email transaction logs by text-mining email conte...

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International Conference on Data Mining and Intelligent information Technology Applications (ICMiA)

作者： Vatcharaporn Esichaikul Sumanta Guha Chanawut Juntapoln Computer Science & Information Management Program Asian Institute of Technology Klong Luang Pathum Thani Thailand

Monitoring every single email takes a lot of effort especially when the size of email transaction log is very large. This study proposed to find a wise option to monitor only the contents of important emails. Depth First Search algorithm, multi-digraph, email scoring model, WordNet, and Vector Space Model are used to create a model for filtering important emails and mining email contents. The findings showed that using email filtering module together with term enhancing module can help in reducing the processing time and keeping high precision and recall values of the system.

关键词： Electronic mail Filtering Vectors Earth Monitoring Support vector machine classification Semantics

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The development on obstacle avoidance design for a humanoid robot based on four ultrasonic sensors for the learning behavior and performance

The development on obstacle avoidance design for a humanoid ...

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IEEE International Conference on Industrial Engineering and Engineering management, IEEM2010

作者： Li, Ya-Ju Chou, Wei-Chung Chen, Chen-Yuan Shih, Bih-Yaw Chen, Lien-Tung Chung, Pei-Yin Department of Computer Science National Pingtung University of Education No. 4-18 Ming Shen Rd. Pingtung 90003 Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Management Information System Yung-Ta Institute of Technology and Commerce Pingtung 90003 Taiwan Department of Information Management Meiho University 23 Pingguang Rd. Neipu Pingtung Taiwan

ISBN: (纸本)9781424485031

A behavioral strategy designed for a humanoid robot for the purpose of obstacle avoidance based on four ultrasonic sensors for the learning behavior and performance is proposed and implemented with an autonomous humanoid robot. A mechanical structure with 4 degrees of freedom is designed so that a small-size humanoid robot named ARSR is able to accomplish three types of walking motion. One experiment is presented to illustrate ow the the proposed bipedal structure lets the ARSR move forward, turn left and turn right. Four ultrasonic sensors are mounted on the ARSR to obtain environmental information and detect obstacles. Based on the information obtained from these sensors, a decision tree method is proposed to decide upon one behavior from three possible types of movement: walk forward, turn left and turn right. An experiment is carried out to show how the robot can autonomously avoid obstacles to effectively arrive at its destination. Based on the mechanic design and development, we will get a good agreement for the learning behavior and performance. ©2010 IEEE.

关键词： Anthropomorphic robots

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A rule-based XML access control model

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003年 2876卷 35-48页

作者： Anutariya, Chutiporn Chatvichienchai, Somchai Iwiahara, Mizuho Wuwongse, Vilas Kambayashi, Yahiko Computer Science Program Shinawatra University Pathumthani Thailand Department of Social Informatics Graduate School of Informatics Kyoto University Kyoto Japan Computer Science and Information Management Program Asian Institute of Technology Pathumthani Thailand

Due to a widely use of XML language in various application domains, a well-established mechanism for the definition and enforcement of security controls on specific accesses to XML documents is demanded, in order to ensure that only authorized entities can perform certain actions on the protected data. The proposed rule-based, declarative approach supports definition of (possibly implicit and complex) authorization rules on particular nodes within a document as well as enforcement of multiple user-defined policies, specifying selected mechanisms to resolve conflicts or to apply default authorization. Moreover, by founded on both RDF and XDD theory, the developed approach yields a simple yet flexible and interchangeable XML access control model with well-defined declarative semantics. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Access control models

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Fuzzy types and their lattices

Fuzzy types and their lattices

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： T.H. Cao P.N. Creasy V. Wuwongse School of Information Technology University of Queensland Australia Computer Science and Information Management Program Asian Institute of Technology Bangkok Thailand

Fuzzy sets and fuzzy logic are essential approaches to uncertain and vague information representation and reasoning. This paper is focused on uncertainty about types of objects and reasoning with it. A fuzzy type is formulated as a pair of a basic type and a truth-value, where a basic type can be crisp or vague (in the intuitive sense). A structure for a class of truth-value lattices is proposed for this construction. Then, fuzzy type lattices are developed with the fuzzy sub-type partial order satisfying intuition, and fuzzy type intersection and union operations. The result forms a basis for development of an order-sorted fuzzy logic system.

关键词： Lattices Fuzzy logic Uncertainty Logic programming Birds Fuzzy sets information representation Fuzzy reasoning information technology Automatic programming

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Biodiversity of fish resources in Sungsang Estuaries of South Sumatra 3

Biodiversity of fish resources in Sungsang Estuaries of Sout...

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3rd EMBRIO International Workshop on Marine Biodiversity: Understanding, Utilization, Conservation, EIW 2018

作者： Fauziyah Nurhayati Bernas, S.M. Putera, A. Suteja, Y. Agustiani, F. Marine Science Study Program Faculty of Mathematics and Natural Sciences Sriwijaya University Indonesia Environmental Management Study Program Faculty of Agriculture Sriwijaya University Indonesia Faculty of Agriculture Sriwijaya University Indonesia Information System Department Faculty of Computer Science Sriwijaya University Indonesia Marine Science Department Faculty of Marine Sciences and Fisheries Udayana University Indonesia

The purpose of this study was to assess the fish biodiversity of Sungsang estuaries in South Sumatra. The species diversity, evenness, dominance, degree of similarity, and composition of fish communities as well as some physicochemical conditions were analyzed in order to establish the baseline data inventory of Sungsang estuaries. The results show that all of the physico-chemical parameters were in good condition for fish sustainability. Forty-eight (48) species of fish belonging to 29 families of freshwater, brackish water and marine sources were encountered in the water bodies. Johnius belangerii, Johnius amblycephalus and Setipinna taty were species with a relatively high abundance, but the appearance frequency of these species was high, medium and low, respectively. The value of the Shannon's diversity index for fish resources was classified as moderate (H'=1.477-2.708). The index value of evenness was classified as high (J'= 0.616 - 0.876), while the index value of dominance was classified as low (D = 0.097 - 0.382). This result indicate that the species diversity was good enough, the species spread was evenly distributed, that there was a stable community structure and no domination. © Published under licence by IOP Publishing Ltd.

关键词： Estuaries

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