Journal articles: 'Word processing. Information technology'

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Zhu, Ke. "Analysis of Chinese Word Segmentation Technology." Applied Mechanics and Materials 687-691 (November 2014): 1540–43. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1540.

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Under the influence of network information resources in exponentially growing, we are entering the information society, and all aspects of our lives has permeated with information technology. But the Chinese word segmentation technology for processing Chinese information becomes more and more important. Therefore, this paper sets out a series of Chinese word segmentation techniques, which mainly consists of Chinese word segmentation technology based on statistic, Chinese word segmentation techniques based on dictionary and hybrid techniques of Chinese word segmentation and segmentation technology based on knowledge and understanding.

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Fatt, James Poon Teng. "Word Processing in Accountancy Training." Journal of Educational Technology Systems 23, no. 4 (June 1995): 309–26. http://dx.doi.org/10.2190/3dtt-jf4l-vebf-q4b8.

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Word processing has become increasingly important in today's world of information technology. The capabilities of new word processing packages have far reaching impact on information processing. Can accounting educators who are concerned over accounting packages afford to overlook the importance of basic word processing? What is the relevance of word processing to accounting students? This article will explore the far-reaching possibilities of word processing in accounting education in the context of its demand in the accounting world. It will also attempt to determine the overall value of word processing in communication for accounting professionals. A survey was also conducted on 103 first-year accountancy students from the Nanyang Technological University to determine their awareness of word processing. This information should help provide accounting educators with information on the entry behavior of accounting students. It was found that the students are not only aware of word processing but are enthusiastic about the editing features. It is encouraging to know that students have a positive attitude toward word processing. This is important especially in the Singapore context where high tech information processing is gaining importance. What remains to be discussed is how best educators can maximize accounting students' learning of word processing to meet the demands of the year 2020 and beyond.

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Mao, Gaga. "Study on Chinese Word Segmentation." Advances in Higher Education 3, no. 3 (November 8, 2019): 1. http://dx.doi.org/10.18686/ahe.v3i3.1393.

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Search engine technology is widely applied currently, which gradually deepens the research of full-text retrieval technology and Chinese word segmentation technology. Chinese word segmentation is one of the key technologies of Chinese languages information, the quality of which directly affects the information processing efficiency of Chinese languages.

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Aschner, Katherine. "From Word Processing to Office Automation: A Case Study in Technology Evolution." Journal of Information Systems Management 2, no. 4 (January 1985): 61–66. http://dx.doi.org/10.1080/07399018508967788.

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Che, Xin Sheng, Xing Hua Wang, Yi Fei Gao, and Hui Xu. "Dynamic Information Acquisition and Processing Technology of Pump Axial Force." Advanced Materials Research 346 (September 2011): 253–58. http://dx.doi.org/10.4028/www.scientific.net/amr.346.253.

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Dynamic measurement of pump axial force has relationships with many fields such as multi-channel information collection and synthesis, sampling rate settings, filter parameters selecting, resolution and uncertainty of measurements analysis and other technical problems. Based on the range and resolution of axial force measurement required, the word length of digital bits to be collected should be determined. Based on the multi-information provided by the force transducers and the working state of the pump, the frequency of data acquisition, number of measurement channels and filter parameters can be determined. The control of data acquisition module is by use of the virtual instrument technologies and processing and display of real-time data are proceeded. The transmission structure of axial force is illustrated and the method of data processing is described. Data processing results show the effectiveness by the filter in restrain the site interference.

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Borko, Harold. "World information technology manual, vol. 1: Computers, telecommunications and information processing." Information Processing & Management 29, no. 1 (January 1993): 149–50. http://dx.doi.org/10.1016/0306-4573(93)90034-b.

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Barr, Nancy E. "World information technology manual Vol. 1: Computers, telecommunications and information processing." Journal of Academic Librarianship 19, no. 3 (July 1993): 190. http://dx.doi.org/10.1016/0099-1333(93)90598-y.

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Barr, Nancy E. "World information technology manual. vol. 1: Computer, telecommunications and information processing." Journal of Academic Librarianship 19, no. 1 (March 1993): 46. http://dx.doi.org/10.1016/0099-1333(93)90776-2.

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Hoey, P. O'N. "Use of information technology in UK agricultural information work: a review." Journal of Information Science 11, no. 1 (July 1985): 9–17. http://dx.doi.org/10.1177/016555158501100102.

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A brief review of the UK agricultural industry and the organisations which support it is given. The increasing use of computers, large and small, to assist in all aspects of scientific and technical information (STI) and library work in organiza tions of all kinds and sizes is discussed, with examples. The move beyond on-line bibliographic literature searches to those involving specialist factual databanks and the link with word processing to provide indexes to in-house reports is included. The differing needs of small and large organizations, and those with several office locations are considered. The problem of software packages' (lack of) robustness and comprehensiveness together with their specificity which prevents easy data transfer between computers or over networks is highlighted. The possi bilities of videotex as a bridging device for end-users to bypass computing type problems' are discussed, along with the need to keep data secure from unauthorised users. It is argued that the opportunity for total integration of information services in an organization, beyond traditional STI and library areas, with the help of computers, should now be taken.

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Ran, Jie, Ji Ya Huang, and Zu Xiao. "The Research of Word Similarity in Semantic Retrieval." Applied Mechanics and Materials 701-702 (December 2014): 413–17. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.413.

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Word similarity computing is a crucial question in information processing technology. In this paper, an integrated word similarity computing method is proposed by analyzed morpheme's similarity, word order's similarity and word length's similarity, and parameters of the method are decided by experiments. The experiments show that this method has high efficiency.

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Chen, Luyao, Junjie Wu, Yongben Fu, Huntae Kang, and Liping Feng. "Neural substrates of word category information as the basis of syntactic processing." Human Brain Mapping 40, no. 2 (September 21, 2018): 451–64. http://dx.doi.org/10.1002/hbm.24386.

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Katarina, Dona, and Ida Fitriani. "PELATIHAN ANAK YATIM DAN DHUAFA DALAM UPAYA MENINGKATKAN PENGGUNAAN MICROSOFT WORD DAN MICROSOFT EXCEL DI ASRAMA DOMYADHU CABANG CIPUTAT." Jurnal PkM Pengabdian kepada Masyarakat 4, no. 1 (July 13, 2021): 105. http://dx.doi.org/10.30998/jurnalpkm.v4i1.9426.

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Along with the development of Information Technology, computers and their use in everyday life are used to process data into information. One of the important programs that a computer user must have and control is Microsoft Office. As the name implies, this program can help to do data processing work more easily. In Microsoft Office there are many types of programs that can be used, for example Microsoft Word and Microsoft Excel. Microsoft Word is a program that is very important in everyday life. This program is a word processing program that includes creating, editing and formatting documents. Meanwhile, Microsoft Excel is a program designed to perform number processing. The Unindra community service team will carry out community service activities at the Domyadhu Foundation in the Ciputat branch by providing training on the use of Microsoft Word and Microsoft Excel. By conducting this training, it is hoped that it can improve knowledge on the use of Microsofot Word and Microsoft Excel for younger siblings at the Foundation.

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Kosaka, Naoko, Akira Koyama, Tomohiro Kokogawa, Yuji Maeda, Hiroko Koumoto, Shingo Suzuki, Kenshi Yamaguchi, and Kentaro Inui. "Disaster Information System Using Natural Language Processing." Journal of Disaster Research 12, no. 1 (February 1, 2017): 67–78. http://dx.doi.org/10.20965/jdr.2017.p0067.

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In this paper, we analyze incident response management work using free-formed information that is important for incident response communication. We develop a standard operating procedure for the work and study a support method based on a language processing technology to prevent missing or overlapping necessary tasks and optimize management of progress and integration management of related tasks. A prototype system was developed and evaluated in a workshop held by a local government, or in an exercise. As a result, it is confirmed that the use of language processing technology can make incident response management work efficient.

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Nowakowski, Karol, Michal Ptaszynski, Fumito Masui, and Yoshio Momouchi. "Improving Basic Natural Language Processing Tools for the Ainu Language." Information 10, no. 11 (October 24, 2019): 329. http://dx.doi.org/10.3390/info10110329.

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Ainu is a critically endangered language spoken by the native inhabitants of northern Japan. This paper describes our research aimed at the development of technology for automatic processing of text in Ainu. In particular, we improved the existing tools for normalizing old transcriptions, word segmentation, and part-of-speech tagging. In the experiments we applied two Ainu language dictionaries from different domains (literary and colloquial) and created a new data set by combining them. The experiments revealed that expanding the lexicon had a positive impact on the overall performance of our tools, especially with test data unrelated to any of the training sets used.

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Fedorova, V. A., E. A. Efremov, and I. A. Kolyagina. "SEARCH AND INDEX DATA USING ELASTICSEARCH." Issues of radio electronics, no. 3 (March 20, 2019): 74–77. http://dx.doi.org/10.21778/2218-5453-2019-3-74-77.

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Currently, the use of traditional information retrieval methods for analyzing big data is becoming ineffective. Analysis and processing of a large amount of information require completely new conceptual solutions, one of which is Elasticsearch, a search engine based on the Lucene library. Elasticsearch uses the concept of inverted indexing to speed up searches when a list of all unique words is created for each document and a list of documents for each word. The paper considers the principles of the Elasticsearch search technology. The actual task is to analyze and identify the specific capabilities of the Elasticsearch system associated with the search and processing of large amounts of information. The paper also describes examples of the work of Elasticsearch, which will help professionals to solve problems inherent in the systems of relevant and personalized information retrieval.

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Gu, Wei. "Data Processing and Information Technology with an Optimal Matching Model Used to Reconstruct Broken Pieces." Advanced Materials Research 1014 (July 2014): 421–23. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.421.

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Splicing broken files played an important role in judicial evidence reconstruction, historical documents repair and military information obtainment and other fields. In this paper, we analyzed the reconstruction of broken pieces, which was modeled as an optimal matching problem. The Hamming distance was used as the matching degree of edge splicing. Firstly, we use the iterative threshold selection method to determine the gray scale threshold. Secondly, we chose the minimum summation of and as objective function. Then we use clustering analysis to classify the pieces into different lines, and selected the top and bottom position of the first line on each piece as decision variables. Finally, we took word width and column spacing into consideration and used row matching algorithm to splice lines into a complete image.

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Sudarmin, Sudarmin. "Analisis Perancangan Sistem Informasi Pendaftaran Siswa Baru pada SMK Taman Siswa Kisaran Menggunakan Web." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 5, no. 1 (January 21, 2019): 59–62. http://dx.doi.org/10.33330/jurteksi.v5i1.298.

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Abstract: Information technology in everyday life is increasingly important because technological developments are increasing. The use of information technology in companies and the business world is very eradicating humans in the completion of fast and precise work. World Educational institutions are currently implementing information technology to support administrative work processes to support activities quickly and computerized. With a computerized system, it can provide good and effective services for the school. Taman Siswa Kisaran Private Vocational School is an educational institution that has a role to help educate the nation's children, still using computer technology that uses Microsoft Word and excel computers to manage new student admission compilation data using manual systems, making work efficiency in processing new student admission data must be accepted by this educational institution, information systems are expected to be able to improve public performance and efficiency in processing new student admissions data in making reports more efficient and accurate in the Taman Siswa K Private Vocational School. Keywords: Php, MySQL, Information System Abstrak: Peranan teknologi informasi dalam kehidupan sehari-hari sangatlah penting karena perkembangan teknologi sudah semakin pesat. Penggunaan teknologi informasi di perusahaan dan dunia bisnis sangat membatuh manusia dalam menyelesaikan pekerjaan secara cepat dan tepat. Dunia Institusi pendidikanpun saat ini sedang menerapkan teknologi informasi sebagai sarana untuk mendukung proses pekerjaan tenaga administrasi untuk menyelesaian aktivitas dengan cepat dan terkomputerisasi. Dengan adanya sistem yang terkomputerisasi maka dapat memberikan pelayanan yang baik dan efesien khususnya untuk pihak sekolah. SMK Swasta Taman Siswa Kisaran adalah suatu lembaga pendidikan yang memiliki peran membantu mencerdaskan anak bangsa, masih memanfaatkan teknologi komputer secara sederhana seperti penggunaan aplikasi Microsoft word dan excel untuk pengolahan data-data ketika penerimaan siswa baru berlangsung hanya dengan menggunakan sistem manual, sehingga efesiensi kerja dalam pengolahan data penerimaan siswa baru belum didapatkan oleh instansi pendidikan ini, sistem informasi diharapkan mampu meningkatkan pelyanan publik dan efesiensi kerja terutama dalam pengolahan data penerimaan siswa baru dalam membuat laporan yang lebih efesien dan akurat pada SMK Swasta Taman Siswa Kisaran.Kata Kunci : Php, MySQL, Sistem Informasi

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Hnatushenko, V. V., and V. Yu Kashtan. "AUTOMATED PANSHARPENING INFORMATION TECHNOLOGY OF SATELLITE IMAGES." Radio Electronics, Computer Science, Control, no. 2 (July 7, 2021): 123–32. http://dx.doi.org/10.15588/1607-3274-2021-2-13.

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Context. Nowadays, information technologies are widely used in digital image processing. The task of joint processing of satellite image obtained by different space systems that have different spatial differences is important. The already known pansharpening methods to improve the quality of the resulting image, there are new scientific problems associated with increasing the requirements for high-resolution image processing and the development of automated technology for processing the satellite data for further thematic analysis. Most spatial resolution techniques result in artifacts. Our work explores the major remote sensing data fusion techniques at pixel level and reviews the concept, principals, limitations and advantages for each technique with the program implementation of research. Objective. The goal of the work is analyze the effectiveness of the traditional pan-sharpening methods like the Brovey, the wavelet-transform, the GIHS, the HCT and the combined pansharpening method for satellite images of high-spatial resolution. Method. In this paper we propose the information technology for pansharpening high spatial resolution images with automation of choosing the best method based on the analysis of quantitative and qualitative evolutions. The method involves the scaling multispectral image to the size of the panchromatic image; using histogram equalization to adjust the primary images by aligning the integral areas of the sections with different brightness; conversion of primary images after the spectral correction on traditional pansharpening methods; analyze the effectiveness of the results obtained for conducts their detailed comparative visual and quantitative evaluation. The technology allows determining the best method of pansharpening by analyzing quantitative metrics: the NDVI index, the RMSE and the ERGAS. The NDVI index for the methods Brovey and HPF indicate color distortion in comparison with the reference data. This is due to the fact that the Brovey and HPF methods are based on the fusion of three channel images and do not include the information contained in the near infrared range. The RMSE and the ERGAS show the superiority of the combined HSVHCT-Wavelet method over the conventional and state-of-art image resolution enhancement techniques of high resolution satellite images. This is achieved, in particular, by preliminary processing of primary images, data processing localized spectral bases, optimized performance information, and the information contained in the infrared image. Results. The software implementing proposed method is developed. The experiments to study the properties of the proposed algorithm are conducted. Experimental evaluation performed on eight-primary satellite images of high spatial resolution obtained WorldView-2 satellite. The experimental results show that a synthesized high spatial resolution image with high information content is achieved with the complex use of fusion methods, which makes it possible to increase the spatial resolution of the original multichannel image without color distortions. Conclusions. The experiments confirmed the effectiveness of the proposed automated information technology for pansharpening high-resolution satellite images with the development of a graphical interface to obtain a new synthesized image. In addition, the proposed technology will effectively carry out further recognition and real-time monitoring infrastructure.

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Mascle, Christian, Yong Liang Cai, and Aurore Camelot. "Information Technology for Processing and Treating Aircraft End of Life." Applied Mechanics and Materials 686 (October 2014): 153–59. http://dx.doi.org/10.4028/www.scientific.net/amm.686.153.

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EOL processing includes 4 major steps: decontamination, disassembly of reused or remanufactured parts, dismantling of the remaining carcass, materials recovery and valorization and/or landfill. In this paper, we present general methods to implement profitable rebirthing processes on a real Bombardier CRJ100. This work is critical to help aircraft manufacturers design current and next generation aircraft. The scope of this project includes some aspects related to dismantling of an aircraft. These aspects are studied using both modeling, based on a heuristic resolution, and experimental approaches. Data acquisition can be automatically accomplished.

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Wang, Yanbin, Zhu-Hong You, Shan Yang, Xiao Li, Tong-Hai Jiang, and Xi Zhou. "A High Efficient Biological Language Model for Predicting Protein–Protein Interactions." Cells 8, no. 2 (February 3, 2019): 122. http://dx.doi.org/10.3390/cells8020122.

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Many life activities and key functions in organisms are maintained by different types of protein–protein interactions (PPIs). In order to accelerate the discovery of PPIs for different species, many computational methods have been developed. Unfortunately, even though computational methods are constantly evolving, efficient methods for predicting PPIs from protein sequence information have not been found for many years due to limiting factors including both methodology and technology. Inspired by the similarity of biological sequences and languages, developing a biological language processing technology may provide a brand new theoretical perspective and feasible method for the study of biological sequences. In this paper, a pure biological language processing model is proposed for predicting protein–protein interactions only using a protein sequence. The model was constructed based on a feature representation method for biological sequences called bio-to-vector (Bio2Vec) and a convolution neural network (CNN). The Bio2Vec obtains protein sequence features by using a “bio-word” segmentation system and a word representation model used for learning the distributed representation for each “bio-word”. The Bio2Vec supplies a frame that allows researchers to consider the context information and implicit semantic information of a bio sequence. A remarkable improvement in PPIs prediction performance has been observed by using the proposed model compared with state-of-the-art methods. The presentation of this approach marks the start of “bio language processing technology,” which could cause a technological revolution and could be applied to improve the quality of predictions in other problems.

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Yu, Hong Zhi, Jin Xi Zhang, Guang Rong Shan, and Ning Ma. "Research on Tibetan Language Synthesis System Front-End Text Processing Technology Based on HMM." Applied Mechanics and Materials 411-414 (September 2013): 308–12. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.308.

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The standardization of the text, word segmentation, the basic stitching unit divided for rhythm analysis and pronunciation conversion is an important content of the speech synthesis system front-end text processing modules. Lhasa Tibetan language and voice characteristics proposed the implementation of a set of Tibetan speech synthesis text analysis module to analyze and describe the Lhasa Tibetan language layer information and maps voice layer. The completion of the study is to lay a solid foundation for further Tibetan speech synthesis system.

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Han, Ting, and Shou Qian Sun. "Product Style Map — An Effective Tool for Product Strategy Planning." Advanced Materials Research 605-607 (December 2012): 472–76. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.472.

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Product is a platform with which the companies and the consumers communicate with each other. The product style contains two kind of information - one from the companies and the other from the consumers side. Product style map is an effective tool for product strategy planning. In this study, word processing technology was firstly investigated including methods of new words identification, words semantic measurement, and new words explanation. Consequentially, Product Style Keywords Map was produced with the fore mentioned technology, dynamic SOM model was adopted to cluster the product style keywords. A visualization and interaction structure was set up based on Flex technology.

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Elias Polus, Manhal, and Thekra Abbas. "Development for performance of Porter stemmer algorithm." Eastern-European Journal of Enterprise Technologies 1, no. 2 (109) (February 26, 2021): 6–13. http://dx.doi.org/10.15587/1729-4061.2021.225362.

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The Porter stemmer algorithm is a broadly used, however, an essential tool for natural language processing in the area of information access. Stemming is used to remove words that add the final morphological and diacritical endings of words in English words to their root form to extract the word root, i.e. called stem/root in the primary text processing stage. In other words, it is a linguistic process that simply extracts the main part that may be close to the relative and related root. Text classification is a major task in extracting relevant information from a large volume of data. In this paper, we suggest ways to improve a version of the Porter algorithm with the aim of processing and overcome its limitations and to save time and memory by reducing the size of the words. The system uses the improved Porter derivation technique for word pruning. Whereas performs cognitive-inspired computing to discover morphologically related words from the corpus without any human intervention or language-specific knowledge. The improved Porter algorithm is compared to the original stemmer. The improved Porter algorithm has better performance and enables more accurate information retrieval (IR).

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Yokota, Shinichiroh. "Study about Patient Fall Using Real World Data and Information Processing Technology." Japanese Journal of Rehabilitation Medicine 55, no. 11 (November 16, 2018): 905–9. http://dx.doi.org/10.2490/jjrmc.55.905.

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Liu, Yong, Baohua Liang, and Jiabao Jiang. "Information Processing and Data Management Technology in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 09 (September 30, 2018): 66. http://dx.doi.org/10.3991/ijoe.v14i09.8270.

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The wireless sensor network is essentially a data-centric network that processes the continuous stream of data, which is collected by different sensors. Therefore, the existing data management technologies regard the wireless sensor network, which is named WSN as a distributed database, and it is composed of continuous data streams from the physical world. Wireless sensor networks are emerging next-generation sensor networks, but their transmission of information is highly dependent. The wireless sensor network processes the continuous stream of data collected by the sensor. Based on the features of wireless sensor networks, this paper presents a topology-dependent model of cluster evolution with fault tolerance. Through the limited data management, resources have reasonably configured, while also saving energy. The model is based on the energy-aware routing protocol in its network layer protocols. The key point is the energy routing principle. According to its own local view, the cluster head node builds the inter-cluster topology to achieve fault-tolerant and energy-saving goals. Simulation results show that the model has good fault tolerance and energy efficiency.

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Nie, Shao Hua. "Analysis of Computer Information Processing Technology in Era of Big Data." Applied Mechanics and Materials 687-691 (November 2014): 2772–75. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2772.

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With the continuous development of technology, a variety of computer and mobile devices constantly creat huge amounts of information, this phenomenon will continue to repeat, and today's world has been transferring towards "big data" era. The arrival of the era of big data of the computer information processing technology has brought a very big impact. This article describes the computer information processing technology, pointed out the lack of background in big data computer information processing technology and make its application and development prospect analysis.

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Gambino, Richard J. "Optical Storage Disk Technology." MRS Bulletin 15, no. 4 (April 1990): 20–24. http://dx.doi.org/10.1557/s0883769400059911.

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Optical storage of digital information has reached the consumer market in the form of the compact audio disk. In this technology, information is stored in the form of shallow pits embossed in a polymer surface. The surface is coated with a reflective thin metallic film, and the digital information, represented by the position and length of the pits, is read out optically with a focused, low-power (5 mW) laser beam. When used for information storage for a computer this device is called a CD-ROM, a Compact Digital-Read Only Memory. The user can only extract information (digital data) from the disk without changing or adding any data. That is, it is possible to “read” but not to “write” or “erase” information.While it is an advantage to have permanently stored information in some cases — for example when listening to Beethoven's Ninth Symphony—in other situations the read-only feature is not appropriate. For most computer applications, it is essential that the user be able to store information on the disk and read it back at will. For example, in a word processing task—such as typing this article — it is often necessary to store the document on a disk. Optical data storage for this purpose is available in the form of a Write Once Read Many times (WORM) optical disk drive. The operating principle in a WORM drive is to use a focused laser beam (20 – 40 mW) to make a permanent mark on a thin film on a disk. The information is then read out as a change in the optical properties of the disk, e.g., reflectivity or absorbance. These changes can take various forms: “hole burning” is the removal of material (typically a thin film of tellurium) by evaporation, melting or spalling — sometime s referred to as laser ablation; bubble or pit formation involves deformation of the surface, usually of a polymer overcoat on a metal reflector.

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Clamp, P. J., P. Virdi, A. Vats, and D. D. Pothier. "Information technology in ENT: are we ready to be ‘Connected For Health’?" Journal of Laryngology & Otology 121, no. 7 (October 19, 2006): 687–91. http://dx.doi.org/10.1017/s002221510600380x.

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The NHS Connecting for Health agency continues to implement the national programme for information technology within the National Health Service (NHS). In preparation, NHS employees are being encouraged to develop their information technology skills via the European computer driving licence training course.A postal survey of British Association of Otorhinolaryngologists members was undertaken to evaluate their levels of information technology training, competency and knowledge. Three hundred and thirty-six surgeons responded.Most respondents had received no formal information technology training. Only 3.9 per cent had taken the European computer driving licence course.Most surgeons felt comfortable using word processing and presentation software but were less comfortable with other applications. Junior surgeons were more confident in all areas of information technology application than senior surgeons.Seventy-two per cent of surgeons wanted more information technology training. Most felt that such training should be routine at undergraduate and postgraduate level.With the national programme committed to improving information technology infrastructure within the NHS, more formal training should be provided to ensure a basic standard of information technology competency amongst ENT surgeons.

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Ponchitra, R. "NURSING INFORMATICS." Journal of Health and Allied Sciences NU 03, no. 02 (June 2013): 018–24. http://dx.doi.org/10.1055/s-0040-1703647.

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AbstractComputers have opened for us a world of information. New and emerging technologies will continue to have an effect on the health care delivery system. Nurses as a major player in health care, will be part of this ever growing era technology. A nurse must know generalized applications such as word processing, as well as specialized applications such as clinical information system. Virtual reality (simulation) and ubiquitous(every where) computing are emerging and being used in education and other areas in health care nursing knowledge workers must be able to understand the evolving specialty, nursing informatics, in order to begin to harness and use the tools available for managing the vast amount of health care data and information. This article mentions in detail about Nursing Informatics and therefore highlights that nursing informatics capabilities be appreciated, promoted, expanded and advanced to facilitate the work of the Nurse, improve patient care, and enhance the Nursing profession.

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Segal, Howard P. "“Little Plants in the Country”: Henry Ford's Village Industries and the Beginning of Decentralized Technology in Modern America." Prospects 13 (October 1988): 181–223. http://dx.doi.org/10.1017/s0361233300005275.

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“Technology Spurs Decentralization Across the Country.” So reads a 1984 New York Times article on real-estate trends in the United States. The contemporary revolution in information processing and transmittal now allows large businesses and other institutions to disperse their offices and other facilities across the country, even across the world, without loss of the policy- and decision-making abilities formerly requiring regular physical proximity. Thanks to computers, word processors, and the like, decentralization has become a fact of life in America and other highly technological societies.

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Segal, Howard P. "“Little Plants in the Country”: Henry Ford's Village Industries and the Beginning of Decentralized Technology in Modern America." Prospects 13 (October 1988): 181–223. http://dx.doi.org/10.1017/s0361233300006724.

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“Technology Spurs Decentralization Across the Country.” So reads a 1984 New York Times article on real-estate trends in the United States. The contemporary revolution in information processing and transmittal now allows large businesses and other institutions to disperse their offices and other facilities across the country, even across the world, without loss of the policy- and decision-making abilities formerly requiring regular physical proximity. Thanks to computers, word processors, and the like, decentralization has become a fact of life in America and other highly technological societies.

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Гарнов, Andrey Garnov, and Голубин. "Program «Technology Platforms Russia» and information work on waste production." Economics of the Firm 2, no. 1 (March 19, 2013): 0. http://dx.doi.org/10.12737/302.

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In the article considers the experience of the European Union in the formation of «the technological platforms» — communication and coordination tool for association efforts of the government, business and science in determining the strategic «challenges», the development of programs for Advanced Studies, the ways of their realization and introduction of results. Describes the author’s opinion on some issues forming the section «Re-processing of waste production and consumption» in the approved Russian technological platform, «Ecological Technology Development».

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Martinez, D., O. Lopez de Lacalle, and E. Agirre. "On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation." Journal of Artificial Intelligence Research 33 (September 25, 2008): 79–107. http://dx.doi.org/10.1613/jair.2395.

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This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, such as Information Retrieval, Information Extraction, or Machine Translation. One of the main issues preventing the deployment of WSD technology is the lack of training examples for Machine Learning systems, also known as the Knowledge Acquisition Bottleneck. A method which has been shown to work for small samples of words is the automatic acquisition of examples. We have previously shown that one of the most promising example acquisition methods scales up and produces a freely available database of 150 million examples from Web snippets for all polysemous nouns in WordNet. This paper focuses on the issues that arise when using those examples, all alone or in addition to manually tagged examples, to train a supervised WSD system for all nouns. The extensive evaluation on both lexical-sample and all-words Senseval benchmarks shows that we are able to improve over commonly used baselines and to achieve top-rank performance. The good use of the prior distributions from the senses proved to be a crucial factor.

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Carroll, R. G. "Current and future impact of technology on physiology education." Advances in Physiology Education 275, no. 6 (December 1998): S8. http://dx.doi.org/10.1152/advances.1998.275.6.s8.

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There are at least three areas in which technology can impact education: teaching, learning, and assessment. Teaching, when viewed as communication of information, has been transformed by the technology revolution. Word processing, multimedia, distance learning, and access to the World Wide Web are some prominent examples. The impact of technology on learning, defined as knowledge or skill acquired by instruction or study, has been less dramatic, in part because of our limited understanding of cognitive processes. Some forms of assessment, the collection of evidence of learning, have benefited from technology, such as item analysis of multiple-choice questions. To be effective, the focus on instruction must start with the learner and, from there, consider what should be done to enhance learning. An emphasis on what is technologically appropriate, rather than what is technologically possible, will improve the quality of both teaching and learning.

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Abdi, Hamidreza. "Translation and Technology: Investigating the Employment of Computer-aided Translation (CAT) Tools among Iranian Freelance Translators." Theory and Practice in Language Studies 10, no. 7 (July 1, 2020): 811. http://dx.doi.org/10.17507/tpls.1007.13.

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The present study aimed to investigate the employment of computer-aided translation (CAT) tools among Iranian freelance translators. Fulford and Granell-Zafra (2005) proposed a model encompassing both information and communications technology (ICT) and CAT tools to support a large number of activities, including document production, information search and retrieval, communications, business management, marketing and work procurement, and translation creation. CAT tools are employed to support document production, business management, and translation creation; and ICT tools are used to support the rest. A questionnaire was used for data collection from Iranian freelancers. As the results indicated, Iranian freelance translators were more interested to employ general-purpose software applications, such as word processing programs and presentation software, whereas they showed less interest in the employment of special-purpose software, such as accounting packages and database software. Moreover, most participants approved the effectiveness of CAT tools in their work.

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Simkin, Mark G., and Nancy A. Bagranoff. "Accounting And Visual Basic: Whats The Connection?" Review of Business Information Systems (RBIS) 4, no. 4 (October 1, 2000): 17–26. http://dx.doi.org/10.19030/rbis.v4i4.5409.

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It is not enough today for accountants simply to know how to use word processing and spreadsheet software. In the knowledge age, accounting professionals must use infor-mation technology to the fullest. The ability to create, process, understand, and distri-bute information often determines work productivity, ratings on job performance evaluations, and even ultimate career successes. Accounting graduates with superior information technology (IT) skills are highly recruited, valued, and rewardedthese are the employees who are best able to perform the computer tasks required by their professional responsibilities. This paper reviews some reasons why todays accountants must be familiar with programming concepts in general, and Visual Basic (VB) in par-ticular. It also reviews those VB programming tools that are especially useful to accounting applications.

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Pidlisetska, I., H. Silveistrov, and O. Tomchenko. "Data processing technology of remote sensing in glaciology." Bulletin of Taras Shevchenko National University of Kyiv. Geography, no. 65 (2016): 52–57. http://dx.doi.org/10.17721/1728-2721.2016.65.11.

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This article shows the analysis of remote sensing methods for needs of glaciology and trends of modern research. Remote sensing not only accelerates the process of investigation of natural resources, but also provides fundamentally new information about the nature of the Earth, its components, phenomena and processes, which cannot be obtained by conventional methods. For most of glacial regions of the world scientists continue collecting information about the current condition of glaciers and changes that occur to them. However, often it is difficult to organize direct observation of some glaciers because of their apartness. Therefore, the main method of such research is using remote sensing data. Here is an instance of remote sensing data processing technology on an example of the glacier Columbia (Alaska, USA) ice cover using modern GIS-package ArcGIS. For our research we used four Landsat satellite images during different years (1975, 1986, 2001, 2015) obtained through Earth Explorer Service of United States Geological Survey (USGS). Images have been synthesizing in various combinations of channels to improve displaying the object and its visual perception. We were able to estimate changes of the ice cover of the area for 40 years. We used a method of automated classification for determining glacier borders, which is based on snow index NDSI using. The result of work is a map of Columbia glacier ice cover changes for forty years, which has allowed exploring the dynamics of glacier retreat and demonstrates its border changes. Today remote sensing completely allows solving crucial problems of understanding the evolution of natural processes, such as glaciology research. Long-term monitoring of glaciers is currently one of the few ways to track global climate changing on the planet.

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Yamakata, Yoko. "Food-related Information Processing; My work and my life." Journal of The Institute of Image Information and Television Engineers 71, no. 1 (2017): 89–91. http://dx.doi.org/10.3169/itej.71.89.

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Diedrichsen, Elke. "Linguistic challenges in automatic summarization technology." Journal of Computer-Assisted Linguistic Research 1, no. 1 (June 26, 2017): 40. http://dx.doi.org/10.4995/jclr.2017.7787.

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Automatic summarization is a field of Natural Language Processing that is increasingly used in industry today. The goal of the summarization process is to create a summary of one document or a multiplicity of documents that will retain the sense and the most important aspects while reducing the length considerably, to a size that may be user-defined. One differentiates between extraction-based and abstraction-based summarization. In an extraction-based system, the words and sentences are copied out of the original source without any modification. An abstraction-based summary can compress, fuse or paraphrase sections of the source document. As of today, most summarization systems are extractive. Automatic document summarization technology presents interesting challenges for Natural Language Processing. It works on the basis of coreference resolution, discourse analysis, named entity recognition (NER), information extraction (IE), natural language understanding, topic segmentation and recognition, word segmentation and part-of-speech tagging. This study will overview some current approaches to the implementation of auto summarization technology and discuss the state of the art of the most important NLP tasks involved in them. We will pay particular attention to current methods of sentence extraction and compression for single and multi-document summarization, as these applications are based on theories of syntax and discourse and their implementation therefore requires a solid background in linguistics. Summarization technologies are also used for image collection summarization and video summarization, but the scope of this paper will be limited to document summarization.

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Wang, Meng. "Applying Internet information technology combined with deep learning to tourism collaborative recommendation system." PLOS ONE 15, no. 12 (December 3, 2020): e0240656. http://dx.doi.org/10.1371/journal.pone.0240656.

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Recently, more personalized travel methods have emerged in the tourism industry, such as individual travel and self-guided travel. The service models of traditional tourism limit the diversity of service options and cannot fully meet the individual needs of tourists anymore. The aim is to integrate sparse tourism information on the Internet, thereby providing more convenient, faster, and more personalized tourism services. Based on the shortcomings of the traditional tourism recommendation system, a deep learning-based classification processing method of tourism product information is proposed. This method uses word embedding in the data preprocessing stage. The Convolutional Neural Network (CNN) is used to process review information of users and tourism service items. The Deep Neural Network (DNN) is used to process the necessary information of users and tourism service items. Also, factorization machine technology is used to learn the interaction between the extracted features to improve the prediction model. The results show that the proposed model can maintain an excellent precision of 64.2% when generating personalized recommendation lists for users. The sensitivity and accuracy of the recommendation list are better than other algorithms. By adding DNN, the word embedding method, and the factorization machine model, the precision is improved by 30%, 33.3%, and 40%, respectively. The model accuracy is the highest with 40 hidden factors, 100 convolutions, and a 100+50 combination hidden layer. Compared with traditional methods, the proposed algorithm can provide users with personalized travel products more accurately in personalized travel recommendations. The results have enriched and developed the theory of tourism service supply chain, providing a reference for constructing a personalized tourism service system.

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Wang, Shuchun, Xiaoguang Sun, Jianyu Geng, Yuan Han, Chunyong Zhang, and Weihua Zhang. "The Key Techniques of Constructing the Database of Treatment Measures for Hidden Troubles in Electric Power System." E3S Web of Conferences 185 (2020): 01027. http://dx.doi.org/10.1051/e3sconf/202018501027.

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This article adopts a research method that combined with theoretical analysis and system design, analyzes multiple dimensions of common safety hazard events, uses support vector machine classification algorithms to filter and mine valuable information in massive data, and establishes a common safety hazard event feature set. This kind of technology can realize the automatic classification of safety hazards and extract their characteristic information, introduce the semantic analysis, word segmentation clustering method to determine the typical processing measures of events, and generate knowledge items to add methods and models to the processing measures database, which can solve the grid safety hazard data entry specifications, In-depth analysis and other issues.

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Schack, Baerbel, Sabine Weiss, and Peter Rappelsberger. "Cerebral information transfer during word processing: Where and when does it occur and how fast is it?" Human Brain Mapping 19, no. 1 (April 28, 2003): 18–36. http://dx.doi.org/10.1002/hbm.10104.

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Hermanson, Dana R., Mary Callahan Hill, and Daniel M. Ivancevich. "Information Technology-Related Activities of Internal Auditors." Journal of Information Systems 14, s-1 (January 1, 2000): 39–53. http://dx.doi.org/10.2308/jis.2000.14.s-1.39.

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Advances in information technology (IT) present important new organizational risks, and the assessment and management of these risks may involve a variety of groups, including internal auditors, external auditors, in-house IT experts, and outside consultants. To begin to understand how organizations are addressing their IT risks, this exploratory study examines the IT-related activities of one group—internal auditors. Information gathered from over 100 internal audit directors indicates that internal auditors focus primarily on traditional IT risks and controls, such as IT asset safeguarding, application processing, and data integrity, privacy, and security. Much less work is done on system development and acquisition issues. Several factors are associated with internal auditors' performance of IT evaluations, including the nature of the audit objective, the prevalence of computer audit specialists on the internal audit staff, and the existence of new computerized systems. To supplement these results, we encourage further research on the efforts of other groups in addressing IT risks.

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Han, Xiaofeng, Yan Li, and Guodong Liu. "Study of a New Digital Text Watermarking Algorithm." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 06 (April 21, 2019): 1953002. http://dx.doi.org/10.1142/s0218001419530021.

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As information technology develops rapidly and smart devices become popular, the traditional publishing industry is changing form. It has become very common for newspapers, books, magazines and pictures to transmit on the network. Because the network is easy to copy and spread text resources, the lawful interests of owners are liable to violate. In order to solve this problem, copyright protection technology represented by the text watermark has been invented. In this paper, a novel digital text watermarking algorithm utilizing word processing software is researched, which can ignore some faults in the documents to some extent. By means of this new algorithm, users can keep the copyright information in the reserved words of files and properly use the documents. The embedded watermark can be extracted and the copyright can be verified.

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Walton, Paul. "Information Evolution and Organisations." Information 10, no. 12 (December 12, 2019): 393. http://dx.doi.org/10.3390/info10120393.

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In a changing digital world, organisations need to be effective information processing entities, in which people, processes, and technology together gather, process, and deliver the information that the organisation needs. However, like other information processing entities, organisations are subject to the limitations of information evolution. These limitations are caused by the combinatorial challenges associated with information processing, and by the trade-offs and shortcuts driven by selection pressures. This paper applies the principles of information evolution to organisations and uses them to derive principles about organisation design and organisation change. This analysis shows that information evolution can illuminate some of the seemingly intractable difficulties of organisations, including the effects of organisational silos and the difficulty of organisational change. The derived principles align with and connect different strands of current organisational thinking. In addition, they provide a framework for creating analytical tools to create more detailed organisational insights.

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Mo, Yi Min, Xin Shun Tong, and Li Hua Yang. "Data Mining Technology Applications in Tobacco Commercial Enterprise." Advanced Materials Research 461 (February 2012): 418–20. http://dx.doi.org/10.4028/www.scientific.net/amr.461.418.

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The wide application of information technology has greatly improve the work efficiency but also caused a large and complex data accumulation. How to get the valuable information from vast amounts of data are the key issues in data processing. This paper studied the application of data mining technology in tobacco commercial enterprise from three aspects: market demand forecasting, customer relationship management and historical data processing. Analysis of how to use data mining technology to make full use of large amounts of data to provide a basis for tobacco commercial enterprise’s decision-making.

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P. Siosan, Rosie Jane, Josephine R. Lavilla, Ma Asuncion Christine V. Dequilla, and Joel T. De Castro. "Android interactive word game in mother tongue for early childhood learners." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1787. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1787-1795.

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As ownership of mobile devices increases, the trend in the use of information and communications technology (ICT) in education also advances. In line with the mandate of the department of education to develop interactive strategies, this study aimed to design, develop, and evaluate an android interactive word game in Mother Tongue on the level of acceptability of the system based on content, instructional quality, technical quality, presentation and organization, and accuracy and up-to-dateness to address the gap for interactive mobile learning. This study used developmental and quasi-experimental research. The first phase of the study used developmental research to design, develop, and evaluate the acceptability of the android word game. The second phase of the study used quasi-experimental to evaluate the effectiveness of the developed android word game on the pupils' academic performance in mother tongue. The evaluation of the information technology (IT) experts resulted to a very acceptable rating for the android interactive word game, which was observed to be effective based on the higher post-test mean score or higher mean score of the pupils in the spelling skills after their exposure to the android interactive word game.

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BOD, RENS. "Context-sensitive spoken dialogue processing with the DOP model." Natural Language Engineering 5, no. 4 (December 1999): 309–23. http://dx.doi.org/10.1017/s1351324900002291.

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We show how the DOP model can be used for fast and robust context-sensitive processing of spoken input in a practical spoken dialogue system called OVIS. OVIS (Openbaar Vervoer Informatie Systeem) – ‘Public Transport Information System’, is a Dutch spoken language information system which operates over ordinary telephone lines. The prototype system is the immediate goal of the NWO Priority Programme ‘Language and Speech Technology’. In this paper, we extend the original Data-Oriented Parsing (DOP) model to context-sensitive interpretation of spoken input. The system we describe uses the OVIS corpus (which consists of 10,000 trees enriched with compositional semantics) to compute from an input word-graph the best utterance together with its meaning. Dialogue context is taken into account by dividing up the OVIS corpus into context-dependent subcorpora. Each system question triggers a subcorpus by which the user answer is analysed and interpreted. Our experiments indicate that the context-sensitive DOP model obtains better accuracy than the original model, allowing for fast and robust processing of spoken input.

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Zhang, Min, Wei Zhong Huang, and Qi Ji. "The Research of Interactions in Date Processing and Data Mining." Applied Mechanics and Materials 571-572 (June 2014): 638–41. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.638.

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With the rapid development of global information technology and the rapid popularization of the Internet and modern information system entered the era of big data, people's daily work and life are faced with too much data and information explosion, urgently need to be an effective technology to help people from these huge amounts of data excavated really need and valuable knowledge, so the study of interaction in the process of data processing, and data mining research work have the vital significance.

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Zhou, Wang, Sun, and Sun. "A Method of Short Text Representation Based on the Feature Probability Embedded Vector." Sensors 19, no. 17 (August 28, 2019): 3728. http://dx.doi.org/10.3390/s19173728.

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Text representation is one of the key tasks in the field of natural language processing (NLP). Traditional feature extraction and weighting methods often use the bag-of-words (BoW) model, which may lead to a lack of semantic information as well as the problems of high dimensionality and high sparsity. At present, to solve these problems, a popular idea is to utilize deep learning methods. In this paper, feature weighting, word embedding, and topic models are combined to propose an unsupervised text representation method named the feature, probability, and word embedding method. The main idea is to use the word embedding technology Word2Vec to obtain the word vector, and then combine this with the feature weighted TF-IDF and the topic model LDA. Compared with traditional feature engineering, the proposed method not only increases the expressive ability of the vector space model, but also reduces the dimensions of the document vector. Besides this, it can be used to solve the problems of the insufficient information, high dimensions, and high sparsity of BoW. We use the proposed method for the task of text categorization and verify the validity of the method.

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Journal articles on the topic 'Word processing. Information technology'

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