Journal articles: 'SATIRE (Information storage and retrieval system)'

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Kovalcik, Justin, and Mike Villalobos. "Automated Storage & Retrieval System." Information Technology and Libraries 38, no. 4 (December 16, 2019): 114–24. http://dx.doi.org/10.6017/ital.v38i4.11273.

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The California State University, Northridge (CSUN) Oviatt Library was the first library in the world to integrate an automated storage and retrieval system (AS/RS) into its operations. The AS/RS continues to provide efficient space management for the library. However, added value has been identified in materials security and inventory as well as customer service. The concept of library as space, paired with improved services and efficiencies, has resulted in the AS/RS becoming a critical component of library operations and future strategy. Staffing, service, and security opportunities paired with support and maintenance challenges, enable the library to provide a unique critique and assessment of an AS/RS.

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Wrba, Th, G. Duftschmid, P. Sachs, W. Gall, Ch Rehnelt, G. Boldt, W. Premauer, and W. Dorda. "ArchiMed: A Medical Information and Retrieval System." Methods of Information in Medicine 38, no. 01 (1999): 16–24. http://dx.doi.org/10.1055/s-0038-1634148.

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Abstract:ArchiMed is a highly flexible medical data storage and retrieval system which adds sophisticated clinical research support to a standard hospital information system (HIS).Currently, the HIS of Vienna General Hospital-University Hospital (2000 beds) stores the clinical data of over 2 million patients. While this system supports patient care (e.g., ADT, clinical chemistry, diagnosis, procedures), it has no features to facilitate research, such as the management of clinical studies.ArchiMed is designed to support clinical research. It includes an independent database, which mirrors virtually all the information held in the HIS while also allowing new data to be collected independently and to be added to the database. Flexible retrieval and analysis of data contained in the database are then possible. Thus, existing patient data can be smoothly incorporated into a study together with data collected specifically for research purposes. The system has already been successfully installed in the departments of surgery and soon in other departments as well.

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Zasuhina, Ol'ga, and Marina Alaf'eva. "INFORMATION AUTOMATED SYSTEM «HEAD OF LABORATORIES»." Bulletin of the Angarsk State Technical University 1, no. 12 (December 18, 2018): 47–50. http://dx.doi.org/10.36629/2686-777x-2018-1-12-47-50.

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Describes the technology of development and use of the database for convenient storage, quick retrieval of necessary information on the university department, which allows to structure, make avail-able the transition from the paper version of the document to electronic and back and significantly simplify the work of the head of laboratories of the university department.

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Heinrich, Helen, and Eric Willis. "Automated storage and retrieval system: a time-tested innovation." Library Management 35, no. 6/7 (August 5, 2014): 444–53. http://dx.doi.org/10.1108/lm-09-2013-0086.

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Purpose – The purpose of this paper is to examine the ongoing life cycle of the world's first library Automated Storage and Retrieval System (ASRS) at the Oviatt Library at the California State University, Northridge (CSUN). Born from the pilot project at the California State University Chancellor's Office, CSUN's ASRS was inaugurated in 1991 and cost over $2,000,000 to implement. It survived a devastating 6.8 Northridge earthquake and protected the collection housed within. Almost 20 years later the CSUN ASRS underwent a major renovation of hardware. With the changing concept of library as space and the construction of Learning Commons at the Oviatt, the demand for ASRS capacity is higher than ever. Design/methodology/approach – In addition to the history and overview, the paper explores the major aspects of ASRS administration: specifications of storage layout and arrangement of the materials, collection policy for storing materials, communication of retrieval requests and ASRS interface and compatibility with successive Integrated Library Systems. Findings – The first ASRS served as proof of concept that a library collection does not lose its effectiveness when low-circulating materials are removed from the open stacks. Furthermore, with the changing concept of library as space and the construction of Learning Commons at the Oviatt, the provision of the nimble, just-in-time collection becomes paramount, and the demand for ASRS increases exponentially. Practical implications – Administrators and librarians who consider investing in ASRS will learn about the principles of storage organization, imperatives and challenges of its conception and long-term management on the example of CSUN. Originality/value – The paper carries unique qualities as it describes the formation and evolution of the world's first library ASRS. The visionary undertaking not only withstood the test of time and nature, it continues to play a pivotal role in Oviatt Library's adaption to the new generation of users’ demands and expectations.

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Ghani, Abdul. "Arabic literature: Uniterm indexing system for storage and retrieval." International Library Review 19, no. 4 (October 1987): 321–33. http://dx.doi.org/10.1016/0020-7837(87)90043-4.

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Jiang, Haifeng, and Chang Wan. "Realization of Dynamic Interface and High Performance Data Retrieval." Computer and Information Science 10, no. 4 (October 31, 2017): 16. http://dx.doi.org/10.5539/cis.v10n4p16.

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This paper introduces a method to realize dynamic interface, and designs a database storage model based on XML field technology to realize convenient data storage, any combination condition retrieval function and how to improve the retrieval speed in this kind of storage model. Usually a business system needs to provide information entry and retrieval functions, software designers have to design the appropriate entry items, input interface and retrieval functions for each business system and spend too much time on the repetitive works. And later engineers have to maintain the changing needs of the entry project, so we can apply the dynamic interface technology to achieve the customize needs of input items by the user, reducing the time of the repetitive works. Dynamic interface technology includes the realization of database storage and high performance data retrieval. This paper explores a storage model based on XML database to realize common and efficient storage and discuss on how to improve the retrieval speed in this kind of storage model.

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Boxall, Susan J. "Information Storage, Communication and Retrieval: Your Papers and the Abstracting System." Water Science and Technology 18, no. 4-5 (April 1, 1986): 303. http://dx.doi.org/10.2166/wst.1986.0211.

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Ostroukh, A. V., and A. V. Pomazanov. "DEVELOPMENT OF INFORMATION STORAGE AND RETRIEVAL SYSTEM ON NANOMATERIALS AND NANOTECHNOLOGY." International Journal of Advanced Studies 3, no. 3 (September 2013): 24–30. http://dx.doi.org/10.12731/2227-930x-2013-3-5.

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Keith, Nathan R. "A General Evaluation Model for An Information Storage and Retrieval System." Journal of the American Society for Information Science 21, no. 4 (September 6, 2007): 237–39. http://dx.doi.org/10.1002/asi.4630210403.

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Laraswati, Andri, Eko Purbiyanto, and Chairullah Naury. "Information System for Collecting Customer Collateral Using PHP and MySQL (Case Study BPR BKK, Giritontro, Wonogiri Branch)." Radiant 4, no. 3 (January 5, 2024): 173–88. http://dx.doi.org/10.52187/rdt.v4i3.177.

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Rural Credit Bank of Giritontro District (BPR BKK Giritontro) is a financial institution engaged in savings and loans in the Giritontro District of Wonogiri. BPR BKK's customers provide collateral when applying for loans, and once the loans are repaid, the collateral is returned. However, the current collateral retrieval process at BPR BKK Giritontro is done manually through recording in a logbook maintained by administrative staff, leading to issues such as vulnerable and easily lost storage media. Additionally, there can be delays in the retrieval process if the administrative staff is absent, as only they have access to the storage cabinet key. The logbook system also hinders data search efficiency for collateral retrieval verification. This research aims to develop an information system for customer collateral retrieval to assist the administrative department in managing collateral retrieval. The author adopts the System Development Life Cycle (SDLC) waterfall model for system development and utilizes PHP programming language and MySQL database for the information system implementation.

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Tang, Xiu Ying, Lin Lin Yang, Jia Jin Zhang, Jie Shi, and Li Chang Chen. "Research on AS/RS Simulation Based on Flexsim." Applied Mechanics and Materials 347-350 (August 2013): 406–10. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.406.

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Storage efficiency of the automated storage and retrieval system (AS/RS) is well known by its high storage efficiency, the advantages of automation and high level of information, its operating efficiency has also become the focus of attention. This paper tries to take an automated storage and retrieval system of one manufacturing enterprises for example, analyzing the overall process and detailed steps. Then, Flexsim is used to identify its bottlenecks by providing system. At last, measures are used to optimize the operating efficiency.

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Lima, Gercina, and Maria Campos. "Information Storage and Retrieval System: an analysis of the impact of variables and measures aimed at the organization and retrieval of information centered on the user." RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação 20, no. 2022 (January 11, 2022): 1–22. http://dx.doi.org/10.20396/rdbci.v20i00.8667925/28663.

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Introduction:The effective performance of an Information Retrieval System depends on the quality with which the organization of information is performed, which will imply a retrieval of the most relevant and pertinent information, since these procedures are conditioned to each other, creating a bridge between input and output of information. Objective:To evaluate the impact of the exhaustiveness and specificity variables and the recall and precision measures, as well as the concepts of relevance and pertinence, in Information Retrieval Systems. Methodology:It is characterized as a descriptive and exploratory study, based on a narrative literature review aiming to present the different concepts, their converging and divergent points. Results:As a contribution, we present a proposal for a flow for an Information Storage and Retrieval System, centered on the user, bringing together several aspects related to measures of recall and precision, of relevance and pertinence.Conclusion:It is considered as the final contribution of this study to highlight the importance of a systemic view, in which all elements of an Information Storage and Retrieval System are in interrelation, having the user as the main element; and present the fundamental activities that are important for the training of professionals able to build consistent Systems.

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Hessler, David. "InfoStation: A Low‐Cost Electronic Document Storage, Retrieval, and Transmission System." Library Hi Tech 5, no. 1 (January 1987): 81–86. http://dx.doi.org/10.1108/eb047682.

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Mathisen, Kari. "From traditional stacks to an automated storage and retrieval system." Library Management 26, no. 1/2 (January 2005): 97–101. http://dx.doi.org/10.1108/01435120510572923.

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Shirato, Linda, Sarah Cogan, and Sandra Yee. "The impact of an automated storage and retrieval system on public services." Reference Services Review 29, no. 3 (September 1, 2001): 253–61. http://dx.doi.org/10.1108/eum0000000006545.

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In June 1998, the Bruce T. Halle Library opened on Eastern Michigan University’s campus and began using an automated storage and retrieval system for low‐use books and periodicals. Approximately one third of the library’s total collection was placed into this storage system, freeing floor space for many new activities in the library. This system, linked to the library’s online catalog, could retrieve items requested by a patron in less than ten minutes. While the Automated storage/retrieval systems (AS/RS) performed well, other start‐up problems of a new building and public perceptions of the AS/RS made its introduction a challenge. Planning, implementation, and public reaction and acceptance are discussed.

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Abdulateef, Sally Ali. "Advanced Evaluation Method for Video Retrieval System." International Journal of Advances in Scientific Research and Engineering 09, no. 12 (2023): 80–90. http://dx.doi.org/10.31695/ijasre.2023.9.12.7.

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n the past few years, the multimedia storage has increased and costs of storing multi-media data has become cheaper. Which is why, there are large numbersof videos that are available in the video repositories. With development of the multi-media data types and available bandwidths.The proposed method transferseach video of database into scenes using color histogrambased scene change detection algorithm and key framesare extracted. For key frames multiple features areobtained using straight forward rules. A new framework depending on CNNs (convolutional neural networks) is recommended to perform the content based video retrieval with the less storage cost also with higher search capability. The recommended framework subsists of extraction algorithm with respect to key-frame and the feature collection strategies. Particularly, the extraction algorithm of key-frame takes benefit of clustering idea; so in that case excessive information is taken out from video data and also the storage cost is highly shortened. This work present a method uses the extracted features with convolutional neural network (CNN) for classification tasks. In this research paper, different types of videos will be used and the important features will be extracted using SIFT, after that we use the deep learning(CNN) process will be performed. The experimental results showed the efficiency and effectiveness of suggested approach

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Ohe, K., T. Sakurai, T. Nagase, S. Kaihara, and C. Wang. "Object-oriented Analysis and Design of an ECG Storage and Retrieval System Integrated with an HIS." Methods of Information in Medicine 35, no. 01 (January 1996): 35–40. http://dx.doi.org/10.1055/s-0038-1634636.

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AbstractFor a hospital information system, object-oriented methodology plays an increasingly important role, especially for the management of digitized data, e.g., the electrocardiogram, electroencephalogram, electromyogram, spirogram, X-ray, CT and histopathological images, which are not yet computerized in most hospitals. As a first step in an object-oriented approach to hospital information management and storing medical data in an object-oriented database, we connected electrocardiographs to a hospital network and established the integration of ECG storage and retrieval systems with a hospital information system. In this paper, the object-oriented analysis and design of the ECG storage and retrieval systems is reported.

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Farida Ali Guechi and Ramdane Maamri. "Implementation of Secure Data Storage and Retrieval Approach." International Journal of Organizational and Collective Intelligence 12, no. 4 (October 1, 2022): 1–21. http://dx.doi.org/10.4018/ijoci.312224.

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Implementation of a data storage and retrieval approach to achieve the best results is a challenge. The approach is proposed where access control is assured and a minimum of data information is revealed. On the other side special features of every cloud in a multi-cloud storage system make implementation more complicated. In this paper, the authors will present important problems, solutions, algorithms, comparison results, and details of the implementation of secure data storage and retrieval approach in a multi-cloudIoT system.

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Imanbekova, A. N. "Development of an information system of a medical institution." Mechanics and Technologies, no. 4 (December 30, 2023): 140–48. http://dx.doi.org/10.55956/zcgt6039.

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This article discusses the issues about Information technology (IT) is the research, design, development, implementation, maintenance or management of Computer Information Systems, in particular software applications and computer hardware. Information Technology Association. It deals with the use of electronic computers and computer software tools for the safe Conversion, Storage, Protection, processing, transmission and retrieval of information.

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T., Dr Vijayakumar, and Vinothkanna R. "RETRIEVAL OF COMPLEX IMAGES USING VISUAL SALIENCY GUIDED COGNITIVE CLASSIFICATION." Journal of Innovative Image Processing 2, no. 2 (June 6, 2020): 102–9. http://dx.doi.org/10.36548/jiip.2020.2.005.

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Data storage via multimedia technology is more preferred as the information in multimedia contain rich meanings and are concise when compared to the traditional textual information. However, efficient information retrieval is a crucial factor in such storage. This paper presents a cognitive classification based visual saliency guided model for the efficient retrieval of information from multimedia data storage. The Itti visual saliency model is described here for generation of an overall saliency map with the integration of color saliency, intensity and direction maps. Multi-feature fusion paradigms are used for providing clear description of the image pattern. The definition is based on two stages namely complexity based on cognitive load and classification of complexity at a cognitive level. The image retrieval system is finalized by integrating a group sparse logistic regression model. In complex scenarios, the baselines are overcome by the proposed system when tested on multiple databased as compared to other state-of-the-art models.

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Zhang, Jia. "Design of University Library and Information Management System Based on Big Data Fusion." MATEC Web of Conferences 232 (2018): 01010. http://dx.doi.org/10.1051/matecconf/201823201010.

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In order to improve the ability of library and information management in colleges and universities, and improve intelligent retrieval level of books, a design method of library information management system is proposed based on big data fusion. The phase space reconstruction technology is used to reconstruct the feature of library and information. The feature quantity of semantic concept set of library information is extracted, and the classification storage and information retrieval of library information is carried out by fuzzy clustering method. The adaptive training method is used for feature fusion, and big data fusion of library and information is realized in high dimensional feature space. The data processing center is set up under the Linux kernel environment, the application program of the university library information management system is developed under the Linux kernel, and the VXI bus technology is used to transmit and schedule the university library information management information and data. Realize the software development and design of the school library information management system. The test results show that the design of university library information management system with this method has good information storage and scheduling ability, and it improves the performance of library information retrieval. In the information recall rate and recall rate and other indicators performance has an advantage.

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Feng, Zhi-Bo, Jian-Qi Zhang, Wan-Li Yang, and Mang Feng. "Storage and retrieval of quantum information with a hybrid optomechanics-spin system." Journal of Optics 18, no. 8 (July 4, 2016): 085703. http://dx.doi.org/10.1088/2040-8978/18/8/085703.

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Aldwairi, Monther, Moath Jarrah, Naseem Mahasneh, and Baghdad Al-khateeb. "Graph-based data management system for efficient information storage, retrieval and processing." Information Processing & Management 60, no. 2 (March 2023): 103165. http://dx.doi.org/10.1016/j.ipm.2022.103165.

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Zhang, Xiao Fen, Yan Cao, and Yu Bai. "Knowledge System Development Based on the Primitives of Sheet Metal." Advanced Materials Research 1079-1080 (December 2014): 1119–22. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.1119.

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Through the sheet metal digital information classification, induces the 2D graphics, 3D model, data forms, the information such as process design chart, file information is automatic extracted and meta data description information is interactively supplemented , data is stored in the database records, two kinds of query is designed for recorded data query and keywords retrieval methods.Engineering database system designed to define meta data, storage, retrieval, information coding and classification of four levels, combined with the engineering application of system requirements and function module design,interface of sheet metal unfolding system is developed.The system improve the design capability of sheet metal enterprises, reduce manufacturing cost, enhance the capacity of information management .

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Audeh, Bissan, Michel Beigbeder, Christine Largeron, and Diana Ramírez-Cifuentes. "Improving exploratory information retrieval for neophytes." ACM SIGAPP Applied Computing Review 20, no. 4 (January 12, 2021): 50–64. http://dx.doi.org/10.1145/3447332.3447336.

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Digital libraries have become an essential tool for researchers in all scientific domains. With almost unlimited storage capacities, current digital libraries hold a tremendous number of documents. Though some efforts have been made to facilitate access to documents relevant to a specific information need, such a task remains a real challenge for a new researcher. Indeed neophytes do not necessarily use appropriate keywords to express their information need and they might not be qualified enough to evaluate correctly the relevance of documents retrieved by the system. In this study, we suppose that to better meet the needs of neophytes, the information retrieval system in a digital library should take into consideration features other than content-based relevance. To test this hypothesis, we use machine learning methods and build new features from several metadata related to documents. More precisely, we propose to consider as features for machine learning: content-based scores, scores based on the citation graph and scores based on metadata extracted from external resources. As acquiring such features is not a trivial task, we analyze their usefulness and their capacity to detect relevant documents. Our analysis concludes that the use of these additional features improves the performance of the system for a neophyte. In fact, by adding the new features we find more documents suitable for neophytes within the results returned by the system than when using content-based features alone.

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Bullard, Rita, and Jackie Wrosch. "Eastern Michigan University's Automated Storage and Retrieval System: 10 Years Later." Journal of Access Services 6, no. 3 (July 20, 2009): 388–95. http://dx.doi.org/10.1080/15367960902894187.

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Sproles, Claudene, and Randy Kuehn. "Managing Items in an Automated Storage and Retrieval System (AS/RS)." Journal of Access Services 11, no. 4 (October 2, 2014): 219–28. http://dx.doi.org/10.1080/15367967.2014.945115.

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El-Gamal, S. S. "A Computer-based Clinical Information System." Methods of Information in Medicine 26, no. 04 (October 1987): 189–94. http://dx.doi.org/10.1055/s-0038-1635501.

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SummaryModern information technology offers new opportunities for the storage and manipulation of hospital information. A computer-based hospital information system, dedicated to urology and nephrology, was designed and developed in our center. It involves in principle the employment of a program that allows the analysis of non-restricted, non-codified texts for the retrieval and processing of clinical data and its operation by non-computer-specialized hospital staff.This Hospital Information System now plays a vital role in the efficient provision of a good quality service and is used in daily routine and research work in this hospital. This paper describes this specialized Hospital Information System.

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Mhawi, Doaa N., Haider W. Oleiwi, Nagham H. Saeed, and Heba L. Al-Taie. "An Efficient Information Retrieval System Using Evolutionary Algorithms." Network 2, no. 4 (October 28, 2022): 583–605. http://dx.doi.org/10.3390/network2040034.

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When it comes to web search, information retrieval (IR) represents a critical technique as web pages have been increasingly growing. However, web users face major problems; unrelated user query retrieved documents (i.e., low precision), a lack of relevant document retrieval (i.e., low recall), acceptable retrieval time, and minimum storage space. This paper proposed a novel advanced document-indexing method (ADIM) with an integrated evolutionary algorithm. The proposed IRS includes three main stages; the first stage (i.e., the advanced documents indexing method) is preprocessing, which consists of two steps: dataset documents reading and advanced documents indexing method (ADIM), resulting in a set of two tables. The second stage is the query searching algorithm to produce a set of words or keywords and the related documents retrieving. The third stage (i.e., the searching algorithm) consists of two steps. The modified genetic algorithm (MGA) proposed new fitness functions using a cross-point operator with dynamic length chromosomes with the adaptive function of the culture algorithm (CA). The proposed system ranks the most relevant documents to the user query by adding a simple parameter (∝) to the fitness function to guarantee the convergence solution, retrieving the most relevant user’s document by integrating MGA with the CA algorithm to achieve the best accuracy. This system was simulated using a free dataset called WebKb containing Worldwide Webpages of computer science departments at multiple universities. The dataset is composed of 8280 HTML-programed semi-structured documents. Experimental results and evaluation measurements showed 100% average precision with 98.5236% average recall for 50 test queries, while the average response time was 00.46.74.78 milliseconds with 18.8 MB memory space for document indexing. The proposed work outperforms all the literature, comparatively, representing a remarkable leap in the studied field.

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Graupe, D., and H. Kordylewski. "A Large Memory Storage and Retrieval Neural Network for Adaptive Retrieval and Diagnosis." International Journal of Software Engineering and Knowledge Engineering 08, no. 01 (March 1998): 115–38. http://dx.doi.org/10.1142/s0218194098000091.

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The neural network discussed in this paper is a self trained network for LArge Memory STorage And Retrieval (LAMSTAR) of information. It employs features such as forgetting, interpolation, extrapolation and filtering, to enhance processing and memory efficiency and to allow zooming in and out of memories. The network is based on modified SOM (Self-Organizing-Map) modules and on arrays of link-weight vectors to channel information vertically and horizontally throughout the network. Direct feedback and up/down counting serve to set these link weights as a higher-hierarchy performance evaluator element which also provides high level interrupts. Pseudo random modulation of the link weights prevents dogmatic network behavior. The input word is a coded vector of several sub-words (sub-vectors). These features facilitate very rapid intelligent retrieval and diagnosis of very large memories, that have properties of a self-adaptive expert system with continuously adjustable weights. The authors have applied the network to a simple medical diagnosis and fault detection problems.

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Tate, Marshall C., Lee Wanke, Philip Blume, and Norman Muilenburg. "Storage and Retrieval of Data from Drug Information Requests Using a Mumps-Based Information System." Drug Information Journal 20, no. 1 (January 1986): 109–14. http://dx.doi.org/10.1177/009286158602000117.

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Idowu, Peter Adebayo, Franklin Oladiipo Asahiah, Jeremiah Ademola Balogun, and Olayinka Olufunmilayo Olusanya. "An Online Neonatal Intensive-Care Unit Monitoring System for Hospitals in Nigeria." International Journal of Biomedical and Clinical Engineering 6, no. 1 (January 2017): 1–22. http://dx.doi.org/10.4018/ijbce.2017010101.

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This paper presents an online monitoring system for the storage and retrieval of physiological data from neonates admitted into the Neonatal intensive care units (NICU) of Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria. In order to develop this system, the requirements of the proposed system were identified and analyzed as system and user requirements independently and the requirements were designed using the Unified Modeling Language (UML) tools. The system was implemented using Web 2.0 technologies such as, the hypertext markup language (HTML), the cascading styling sheets (CSS), PHP and MySQL. With the system, storage and retrieval of information by the nurses and any authorized users will be easy.

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Vidya S, Et al. "Cloud-Based Integrated Cross-Platform Regional Medical Image Cooperative Storage System." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 4 (April 30, 2023): 409–12. http://dx.doi.org/10.17762/ijritcc.v11i4.9851.

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With the increasing volume of medical image data, efficient storage and retrieval of these images have become critical in the healthcare industry. This paper proposes an integrated cross-platform regional medical image cooperative storage system based on cloud computing. The system comprises a storage layer, a basic management layer, an application interface layer, and an access layer. The storage layer consists of medical image storage devices and a storage device management system. The basic management layer facilitates the collaborative operation of multiple storage devices within the medical image cloud storage. The application interface layer assigns permissions to users based on their needs. The access layer allows users to access the medical image cloud storage system. This system aims to provide a cost-effective, high-availability solution for storing and accessing a large volume of medical images. The research objective is to realize rapid storage and retrieval of medical images, satisfying the needs of healthcare professionals. The findings demonstrate the practical significance of the system and its potential to enhance medical image management.

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Ma, Shengcheng, Xin Chen, Zhuo Li, and Yingjie Yang. "A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios." Journal of Electrical and Computer Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/3839104.

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This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN) and verify the promotion of query performance by quantitative analysis.

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Mayasari, Nila, and Nurhasanah Nasution. "Dissemination of the Importance of Numbering Medical Records at the Parak Karakah Padang Health Center." ABDIMAS: Jurnal Pengabdian Masyarakat 6, no. 3 (July 31, 2023): 4118–21. http://dx.doi.org/10.35568/abdimas.v6i3.3515.

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Puskesmas is a health service facility that organizes community health efforts and first level individual health efforts. The medical record is a record or record of who, what, why, when and how services are provided to patients during the treatment period. The family folder is a record of health conditions. Family folder is a record of health conditions, as a result of health problems or diseases that are stored in one medical record document folder. The medical record storage system is one of the most important factors in health care institutions. Because the storage system can facilitate medical record files stored in storage racks, speed up retrieval or retrieval of stored medical record files Purpose of numbering medical records Facilitate search of medical record files or documents when patients then come back for treatment at health care facilities as well as for continuity information, by using a numbering system, the information can be sequential and minimize lost information.

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Zhao, Meng Ling, and Xiao Li Tang. "Design of Application Management Software of Multimedia Rescue Communication System." Advanced Materials Research 760-762 (September 2013): 911–15. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.911.

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In view of problems of limited information, dispersed storage data and single function, the paper proposed a design scheme of application management software of multimedia rescue communication system, which can coordinate with front-end device of multimedia rescue communication system to process and store rescue information real-timely. It introduced design of function modules of the software in details through analyzing design requirements of the software and gave implementing principles of technologies of multimedia information fusion and information retrieval used in the software. The actual application showed that the software has functions of video display and storage, multiparty calls, environmental parameters display and alarming, which meets with requirements of diversified information and rescue information sharing of rescue work.

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Dong, Xiang. "Distribution Strategy in Storage and Retrieval System Based on Improved Genetic Algorithm." Advanced Materials Research 219-220 (March 2011): 795–98. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.795.

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Automated storage system has become a sign of enterprise production automation and management information. The design, optimization and simulation has become a key in modern logistics technologies. This paper studied the optimal cells distribution strategies and the storage and retrieval path optimization. Firstly, the distribution strategies are analyzed, then, the mathematical model is presented. An improved Genetic Algorithm is used to solve the model. The approach is finally illustrated by a practical example.

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Abburu, Sunitha, and Suresh Babu Golla. "Ontology Storage Models and Tools: An Authentic Survey." Journal of Intelligent Systems 25, no. 4 (October 1, 2016): 539–53. http://dx.doi.org/10.1515/jisys-2014-0167.

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AbstractOntology is a formal, explicit specification of a shared conceptualization. Ontology provides domain vocabulary, domain knowledge, common understanding, shareability, information interoperability, reusability, concept hierarchy, and relationships that support semantic information retrieval. Ontology improves performance of the system by addressing interoperability issues due to semantic and syntactic heterogeneity. Vast numbers of application domain experts are using ontologies in diverse applications. Use of effective and efficient ontology storage system results improved performance in applications and enables semantic information retrieval. Many prominent researchers and software agencies have proposed and developed several ontology storage methods and tools with various features. The choice of a specific storage model/tool always depend on the specific purpose of the application and the nature of features that are available in the storage model/tool to be utilized in the specific applications. The familiarity of various ontology storage models and tools with the respective features helps user to choose an appropriate storage structure aiming at high-performance applications. The current research work is a comprehensively authentic study carryout out on various ontology storage models and tools with their respective features, which are very essential for optimum performance.

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Huan, Junrong. "Research on the Application of Artificial Intelligence in Image and Text Database Retrieval." Frontiers in Computing and Intelligent Systems 2, no. 1 (November 23, 2022): 39–41. http://dx.doi.org/10.54097/fcis.v2i1.2708.

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In the graphic database, the difficulty of query processing lies in how to query the contents of various data, that is, content-based retrieval, which is an effective means and an important technology to realize multimedia data retrieval. In graphic database, the difficulty of query processing lies in how to query the content based on unformatted data, that is, content-based retrieval, which is an effective means and an important technology to realize multimedia data retrieval. Intelligent information retrieval (IR) system is an intelligent computer IR system, which simulates the thinking process and intelligent activities of human beings about information processing, realizes the storage, retrieval and reasoning of information knowledge, and provides intelligent assistance to users. This paper analyzes the problems of image and text database retrieval driven by big data, explores the application effect of artificial intelligence (AI) in IR driven by big data, promotes the innovation and transformation of modern science and technology, and realizes the sustainable development of our society.

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Santiañez, Reymon M., and Benedict M. Sollano. "Development and Evaluation of Local Area Network Based Archiving System." American Journal of Agricultural Science, Engineering and Technology 5, no. 2 (November 29, 2021): 286–96. http://dx.doi.org/10.54536/ajaset.v5i2.107.

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The goal of this study was to create the Local Area Network Based Archiving System, a cross-platform development system for electronic information storage, security, preservation, and retention. The system incorporates capabilities such as data storage for long-term preservation and retrieval, file searching and retrieval, security features such as user account information system and account access privilege levels, and an email-like messaging system. The researchers developed the Local Area Network Based Archiving System using the Agile Software Development Methodology to keep up with the stakeholders' ever-changing needs. After each iteration of the work cycle, this methodology employs a process of frequent feedback. Features are added or refined in each iteration to ensure that the study meets its goals and expectations. The developed system received an overall average weighted mean of 4.53 in the evaluation summary, which is considered excellent. The strongest point of the system, according to the respondents' responses, was its content, which received the highest average mean among the five major categories in the system evaluation. The system's mobile responsiveness was a huge plus, as it considerably aided accessibility. The system should also be deployed, according to the respondents, because it will provide a powerful answer to the ongoing challenges with storing, managing, securing, and retrieving electronic files. As a result, the researchers concluded that a Local Area Network Based Archiving System is required for the efficient operation of an electronicÂ file storage system. Having centralized electronic file storage and retrieval system not only saves time and money in the long run but also allows for disaster recovery and business continuity.

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Arunarani, Ar, and D. Manjula Perkinian. "Intelligent Techniques for Providing Effective Security to Cloud Databases." International Journal of Intelligent Information Technologies 14, no. 1 (January 2018): 1–16. http://dx.doi.org/10.4018/ijiit.2018010101.

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Cloud databases have been used in a spate of web-based applications in recent years owing to their capacity to store big data efficiently. In such a scenario, access control techniques implemented in relational databases are so modified as to suit cloud databases. The querying features of cloud databases are designed with facilities to retrieve encrypted data. The performance with respect to retrieval and security needs further improvements to ensure a secured retrieval process. In order to provide an efficient secured retrieval mechanism, a rule- and agent-based intelligent secured retrieval model has been proposed in this paper that analyzes the user, query and contents to be retrieved so as to effect rapid retrieval with decryption from the cloud databases. The major advantage of this retrieval model is in terms of its improved query response time and enhanced security of the storage and retrieval system. From the experiments conducted in this work, proposed model increased storage and access time and, in addition, intensified the security of the data stored in cloud databases.

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Mohan, Vishwanathan, Yashwant V. Joshi, Anand Itagi, and Garipelli Gangadhar. "Studies on an Electronic Analog of a Recurrent Neural Network with Retrieval Phase Weight Adaptations." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 2 (March 20, 2005): 127–33. http://dx.doi.org/10.20965/jaciii.2005.p0127.

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It is argued that weight adaptations even during retrieval phase can greatly enhance the performance of a neurodynamic associative memory. Our simulations with an electronic implementation of an associative memory showed that extending the Hopfield dynamics with an appropriate adaptive law in retrieval phase could give rise to significant improvements in storage capacity and computational reliability. Weights, which are supposed to encode the information stored in the Hopfield neural network, are usually held constant once training/storage is complete. In our case, weights also change during retrieval, hence losing information in the process, but resulting in much better retrieval of stored patterns. We describe and characterize the functional elements comprising the network, the learning system, and include the experimental results obtained from applying the network for character recognition in various noisy conditions. Stability issues emerging as a consequence of retrieval phase weight adaptation and implications of weights being used as transitory, intermediary variables are briefly discussed.

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Touil, Hamza, Nabil El Akkad, and Khalid Satori. "H-Rotation: Secure Storage and Retrieval of Passphrases on the Authentication Process." International Journal of Safety and Security Engineering 10, no. 6 (December 31, 2020): 785–96. http://dx.doi.org/10.18280/ijsse.100609.

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Passwords/passphrases can be either system generated or user-selected. A combination of both approaches is also possible—encryption created by the system and assigned to the user by the information system meeting the policy requirements. Policy rules can be designed to increase security and usability factors, such as information storage and retrieval. This paper proposes an algorithm dedicated to the security of passphrases in an online authentication, so the passphrase entered will be stored in a remote database. Through an SHA-3 hash function, the system must hash the pass phase. Before storage, the system must apply random rotations on the already generated HASH while eliminating any traceability performed on the different transactions performed. To prevent the hacker from using them recurrently if he wants to attack our database. Then the system must recover the real HASH and then the passphrase based on the data provided by the user in the form of codes.

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Touil, Hamza, Nabil El Akkad, and Khalid Satori. "H-Rotation: Secure Storage and Retrieval of Passphrases on the Authentication Process." International Journal of Safety and Security Engineering 10, no. 6 (December 31, 2020): 785–96. http://dx.doi.org/10.18280/ijsse.100609.

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Passwords/passphrases can be either system generated or user-selected. A combination of both approaches is also possible—encryption created by the system and assigned to the user by the information system meeting the policy requirements. Policy rules can be designed to increase security and usability factors, such as information storage and retrieval. This paper proposes an algorithm dedicated to the security of passphrases in an online authentication, so the passphrase entered will be stored in a remote database. Through an SHA-3 hash function, the system must hash the pass phase. Before storage, the system must apply random rotations on the already generated HASH while eliminating any traceability performed on the different transactions performed. To prevent the hacker from using them recurrently if he wants to attack our database. Then the system must recover the real HASH and then the passphrase based on the data provided by the user in the form of codes.

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Diepenbroek, Michael, Dieter Fütterer, Hannes Grobe, Heinz Miller, Manfred Reinke, and Rainer Sieger. "PANGAEA information system for glaciological data management." Annals of Glaciology 27 (1998): 655–60. http://dx.doi.org/10.3189/1998aog27-1-655-660.

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Specific parameters determined from continental ice sheet or glacier cores can be used to reconstruct former climate. Tο use this scientific resource effectively, an information system is needed which guarantees consistent long-term data storage and provides easy access. Such a system, to archive any data of paleoclimatic relevance, together with the related metadata, raw data and evaluated paleoclimatic data, is presented. It is based on a relational database and provides standardized import and export routines, easy access with uniform retrieval functions and tools for visualizing the data. The network is designed as a client-server system, providing access through the Internet with proprietary client software including a high functionality or read-only access to published data via the World Wide Web (www.pangaea.de).

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Chen, Li, Zhen Zhang, Jianjun Wu, Xiang Wei, and Wenyuan Bai. "Dynamic Retrieval Model of Quantitative Data of Power Grid Resources Based on 3D Geographic Information Systems (GIS)." Journal of Nanoelectronics and Optoelectronics 17, no. 2 (February 1, 2022): 344–50. http://dx.doi.org/10.1166/jno.2022.3204.

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In order to improve the efficiency of the quantitative data retrieval of power grid resources, a dynamic retrieval model of the quantitative data of power grid resources based on a three-dimensional GIS system is designed. First, the retrieval model architecture is designed based on the 3D GIS system, which is mainly composed of application architecture, technical architecture, data architecture and physical architecture. The technical architecture includes core technologies such as 3D GIS engine, index storage and retrieval applications. Secondly, the real-time daemon mode in the distributed computing method is used to establish a two-level dynamic index and store all kinds of data. Based on the dynamic index, a dynamic retrieval model is constructed by combining the parallel computing unit and the distributed coordination service unit. Finally, the Cirl-Skyline retrieval algorithm under the Map-Reduce parallel framework is used to realize the dynamic retrieval of the quantitative data of power grid resources. The performance test results show that the designed model can effectively improve retrieval efficiency on the basis of ensuring high-precision retrieval results, and can meet the needs of dynamic retrieval of massive quantitative data.

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Su, Xiaofeng, and Tianjing Zhang. "Research on Intelligent Retrieval Method of Teaching Resources on Large-Scale Network Platform." Mathematical Problems in Engineering 2022 (May 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/2745773.

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With the increase in information on various cloud computing platforms, there are more and more teaching documents and videos, which provide sufficient resources for people to learn. Facing the large-scale digital teaching resources, how to quickly and accurately retrieve the required content has become an important research direction in the information field. Especially in the face of heterogeneous, dynamic, and large-scale teaching resources stored in the cloud computing platform, the traditional cloud computing resource retrieval has poor performance and low work efficiency. To solve this problem, a cloud computing platform retrieval method based on genetic algorithm is proposed, which is suitable for intelligent retrieval of teaching resources. Firstly, the teaching resource storage system based on cloud computing platform is analyzed, and the overall architecture of the system and the network topology of cloud storage data are given. Then, a resource retrieval method suitable for cloud computing platform is designed by genetic algorithm, and the convergence performance of genetic algorithm is improved by ant colony algorithm. Finally, the selection algorithm in genetic algorithm is optimized by using random numbers and increasing the number of cycles. The experimental results show that the proposed intelligent retrieval method has greatly improved the Recall and Precision compared with the traditional retrieval methods.

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Suhartono, Didit, and Khodirun Khodirun. "System of Information Feedback on Archive Using Term Frequency-Inverse Document Frequency and Vector Space Model Methods." IJIIS: International Journal of Informatics and Information Systems 3, no. 1 (March 1, 2020): 36–42. http://dx.doi.org/10.47738/ijiis.v3i1.6.

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The archive is one of the examples of documents that important. Archives are stored systematically with a view to helping and simplifying the storage and retrieval of the archive. In the information retrieval (Information retrieval) the process of retrieving relevant documents and not retrieving documents that are not relevant. To retrieve the relevant documents, a method is needed. Using the Term Frequency-Inverse Document and Vector Space Model methods can find relevant documents according to the level of closeness or similarity, in addition to applying the Nazief-Adriani stemming algorithm can improve information retrieval performance by transforming words in a document or text to the basic word form. then the system indexes the document to simplify and speed up the search process. Relevance is determined by calculating the similarity values between existing documents by querying and represented in certain forms. The documents obtained, then the system sort by the level of relevance to the query.

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Wang, Chunhang, and Zhe An. "Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology." Advances in Multimedia 2022 (April 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/9147304.

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In order to improve the data retrieval and mining ability of agricultural information management system, an agricultural information management data model based on cloud computing and semantic technology was proposed. Fuzzy C-means algorithm is used for adaptive fusion and clustering of semantic association features of distributed data in large-scale information management systems; feature compressors are used to reduce the storage space dimension of large-scale information management system to improve the target data mining capability and adaptive scheduling capability of information management system. The registration rate improves than the traditional method by 12.46% and computational cost by 23.76%. This method has higher accuracy in storage data mining and retrieval for large information management systems and superior performance than the traditional method. The introduction of the concept and technical methods of related data is the best practice to realize the fine disclosure, standardized description, semantic organization, and in-depth integration of massive agricultural science and technology information resources, which will play an important role in improving the visibility, visibility, and accessibility of agricultural information resources. It is innovative in the construction of the multidimensional semantic-related model and field knowledge service system driven by related data.

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Al-Mahjari, Maroof Qaid, Ahmed Abdullatif Yassin, Ahmed Abdullah Sultan, and Aseel Rashad Al-Zabidy. "Low-Cost Automated Storage and Retrieval System for Chemicals Warehouses and Central Refrigerators." University of Science and Technology Journal for Engineering and Technology 1, no. 2 (May 20, 2024): 1–20. http://dx.doi.org/10.59222/ustjet.1.2.1.

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The Automated Storage and Retrieval Systems are known as ASRSs which is moved by a mechanical system and controlled by electronical system. The system has introduced many advantages in the production, storage, distribution, and customer services. Many of the proposed systems use high techniques, complex programs, and an intractable interface, and besides their complexity in programming and using, they still at a high cost. The paper proposes a simple and low-cost Automated Storage and Retrieval System using Arduino boards to control the whole system. This work has been studied on specific sites, which are Chemicals Warehouses and Central Refrigerators. The system has been designed and implemented based on two components, Hardware and Software. The proposed system determines the types of goods, pick them up and put them on the suitable shelve depends on its type. The system was designed with a database to store information and an executable file installed in computers to follow up on entered quantities and to order quantities when needed.

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Journal articles on the topic 'SATIRE (Information storage and retrieval system)'

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