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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), 2016
The present study aims to investigate whether and how keeping vocabulary notebooks in digital forms influence students' vocabulary learning practices, performance, and perceptions. Of particular interest to this study is the use of learner-constructed vocabulary notebooks to engage students in the process of intentional vocabulary learning, and ultimately, to enhance their vocabulary acquisition. A Computer Assisted Vocabulary Learning (CAVL) system ...
2015 International Conference on Advanced Mechatronic Systems (ICAMechS), 2015
Understanding the vocabulary profiles of students is an important point for improving classroom-based pedagogy as well as materials development based on students' abilities and needs in ESP (English for Specific Purposes). As the second phase of a longitudinal research to assess Japanese university students' vocabulary competency, the researchers collected data on the performance of second and third-year students majoring in ...
2014 International Symposium on Computer, Consumer and Control, 2014
Vocabulary learning research indicates that word reoccurrence positively affects the small, gradual increments of learning words incidentally during second/foreign language reading. An adaptive e-learning system was constructed in this paper to support EFL incidental vocabulary acquisition by exposing learners to customized reading with immediate and repeated meetings with unknown/unfamiliar words in diverse texts. The system draws on the computer's capacity ...
2017 3rd IEEE International Conference on Computer and Communications (ICCC), 2017
Specialized vocabulary presents a big challenge for college students especially when learning professional science curriculums such as biology, chemistry, etc. The traditional rote memorization, which is used by 89% students in China, has its limitation on efficiency and sustainability. This paper shows a new cloud-based cross-platform vocabulary learning system to give a more efficient and intelligent solution for vocabulary learning. ...
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017
In this paper it is presented a new application of Levenshtein distance algorithm, for the selection of choices in a vocabulary quiz. Levenshtein distance is a measure for the similarity of two strings. In order to make the quiz more difficult, the choices for the correct word are selected using the calculated degree of similarity with the correct word. We ...
The present study aims to investigate whether and how keeping vocabulary notebooks in digital forms influence students' vocabulary learning practices, performance, and perceptions. Of particular interest to this study is the use of learner-constructed vocabulary notebooks to engage students in the process of intentional vocabulary learning, and ultimately, to enhance their vocabulary acquisition. A Computer Assisted Vocabulary Learning (CAVL) system was developed in this study to assist learners of English as a foreign language. The usage of the CAVL system involved three major steps (i.e., Select, Organize, and Integrate), which engaged learners in watching online videos to intentionally study target words, through the construction of personal vocabulary notebooks. The effectiveness of this system, in combination with the intentional vocabulary learning strategy, was evaluated through a quasi-experimental study with two groups of students from a university in Taiwan. The students' use of vocabulary notebooks, scores of vocabulary tests, individual interviews, and responses to a perception survey were closely analyzed, and the results showed the overall positive impact of the investigated strategy on vocabulary learning. The practical implications of this study are thus discussed to promote the use of digital vocabulary notebooks as an intentional learning strategy in vocabulary instruction.
Understanding the vocabulary profiles of students is an important point for improving classroom-based pedagogy as well as materials development based on students' abilities and needs in ESP (English for Specific Purposes). As the second phase of a longitudinal research to assess Japanese university students' vocabulary competency, the researchers collected data on the performance of second and third-year students majoring in science and engineering on the New General Service List Test (NGSLT) and the New Academic Word List Test (NAWLT) developed by Phil Bennett and Tim Stoeckel in 2015 using words from the New General Service List 1.01 (NGSL 1.01) and the New Academic Word List (NAWL) developed by Charles Browne, Brent Culligan and Joseph Phillips in 2014. The NGSL 1.01 consists of 2,801 of the most frequently-appearing words in general use, and is a revision of the original General Service List (about 2,000 words) which was compiled by Michael West in 1953. The NWAL consists of 963 frequently-appearing words in academic text, and is a revision of the original Academic Word List (570 words) which was compiled by Averil Coxhead in 2000. Both the NGSLT and NAWLT are diagnostic tests of written receptive knowledge of the New General Service List and the New Academic Word List respectively. The NGSLT and NAWLT use the same specifications as the Vocabulary Size Test (VST) which was developed by Paul Nation and David Beglar in 2007, and have relatively good test reliability. This paper introduces the background about the tests, the participants in the study, and the data collection method. It also interprets the results of the collected scores, and discusses the implications of the results between departments and years. In future studies, the researchers hope to find ways to perceive the vocabulary abilities of students in their particular ESP fields. By doing so, they can be better informed providers of instruction and create materials tailored to students' particular needs.
Vocabulary learning research indicates that word reoccurrence positively affects the small, gradual increments of learning words incidentally during second/foreign language reading. An adaptive e-learning system was constructed in this paper to support EFL incidental vocabulary acquisition by exposing learners to customized reading with immediate and repeated meetings with unknown/unfamiliar words in diverse texts. The system draws on the computer's capacity to identify and screen optimal reading texts so that learners read those customized texts containing particular unknown words that individuals encounter in the previous texts, and are exposed to them immediately and frequently as they read through the system. This e-learning system is supposed to create a supportive condition for second/foreign language vocabulary learning.
Specialized vocabulary presents a big challenge for college students especially when learning professional science curriculums such as biology, chemistry, etc. The traditional rote memorization, which is used by 89% students in China, has its limitation on efficiency and sustainability. This paper shows a new cloud-based cross-platform vocabulary learning system to give a more efficient and intelligent solution for vocabulary learning. The system can be used to search words, learn vocabulary and make a self-test. The search module contains a multifunctional dictionary, which supports speech recognition, can provide a precise, textbook and bilingual interpretation of a biology word. To learn vocabulary, users can add words to an exclusive word book and revise them anytime they want. The self-test function allows users to check their proficiency. Once a mistake appears, the word will be classified as errors and then added to a unique collection. The range of the test can be customized by users among the word book, error collection, the whole dictionary, or randomly mixed. The system greatly facilitates students' learning process and is expected to improve the learning outcome. Also, the compatibility in different systems enables students to learn vocabulary at any time through a smart phone or a computer.
In this paper it is presented a new application of Levenshtein distance algorithm, for the selection of choices in a vocabulary quiz. Levenshtein distance is a measure for the similarity of two strings. In order to make the quiz more difficult, the choices for the correct word are selected using the calculated degree of similarity with the correct word. We developed a Java graphical application that illustrates this new way of choices selection. The vocabulary words examples are developed for the English language, but they can be easily modified for other foreign languages.
Vocabulary acquisition has become a critical criterion for the Chinese English Majors. Since vocabulary serves as a basic constructing element in English learning. Mind-Mapping, a technique to organize and express knowledge visually and hierarchically might be a new strategy for the students to enlarge their vocabulary size. While the corpus-based data driven learning approach provides a new way of learning vocabulary in a more authentic environment with large quantity of examples, which is an effective way for the students to deepen their word knowledge. This paper attempts to demonstrate that with the strategy of combing Mind-Mapping with corpus-based data driven learning, the English Majors can be more effective in their vocabulary learning.
English vocabulary, an indicator of one's language proficiency, has drawn much attention by learners as well as educators. This paper discusses a system that aims to facilitate the experience of enhancing vocabulary learning via MOOC videos and quizzes. The present system is a web-based vocabulary practicing and testing program that is geared to the dynamic process of familiarizing learners with the words. Learners can identify the meanings of words in the contexts of sentences, taken mainly from texts explained in MOOC courses. The contextual knowledge of the words helps learners to explore the words in the text interpretations, delivered in the MOOC videos.
The present study is considered with teaching German as a foreign language and its vocabulary in the Czech Republic. The author gives its present standing in elementary schools. Using many teachers' and partially also her own experience she is exploring the teaching of basic vocabulary. She brings the characteristics of methods and some suggestions concerning the selection of new words when teaching beginners, twelve-year old pupils, in school or in private tutorials. Vocabulary teaching as well as learning strategies are explained, some of them criticized, many of them recommended.
This study implements mobile-phone camera text-recognition technology into a game-based assessment design. This game is created as an alternative assessment in vocabulary instruction for learning Indonesian as a Foreign Language classroom, to explore the effectiveness and the improvement of students' vocabulary, and to increase students' motivation in conducting assessment. This game is web-based. The web-server stores questions and score. There are two client interfaces. First, the classroom interface randomly downloads questions according to the vocabulary categories chosen by the teacher. Through camera and text-recognition technology, students search for answers, which are projected on the wall. Second, the teacher interface is used to access the score. We expect this system to be an application for the alternative assessment in a vocabulary instruction for learning Indonesian as a Foreign Language.
In this paper, we study the vocabulary design problem in Uyghur large vocabulary continuous speech recognition (LVCSR). Uyghur is an agglutinative language in which words can be formed by concatenating several suffixes to the stem. As a result, the number of word types in Uyghur is unlimited. If the word is used as the recognition unit, the out-of-vocabulary (OOV) rate will be very large with typical vocabulary sizes of 60 k-100 k. To avoid this problem, we split words into stems and suffixes and use these sub-words as the recognition units. Speech recognition experiments are performed in two test sets, one including sentences in books and another including sentences in conversations. Compared to the 80 k-word baseline, the use of stems and suffixes can alleviate the OOV rate problem dramatically and the best system reduces the word error rate (WER) from 46.5% to 44.5% in the book sentences test set and from 57.6% to 47.5% in the conversation sentences test set.
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