Relevant bibliographies by topics / Errors of usage

Academic literature on the topic 'Errors of usage'

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Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Errors of usage"

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Suryati, Suryati. "KESALAHAN BERBAHASA DALAM KARANGAN DESKRIPSI SISWA SEKOLAH DASAR." EDU-KATA 6, no. 1 (February 28, 2020): 1–10. http://dx.doi.org/10.52166/kata.v5i1.1787.

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The aim of this research was to describe the Speak Errors in Desciptive Essay of Fifth Grade Students of Elementary School. The data of this research was Desciptive Essay of Fifth Grade Students SDN Pengangsalan II Kalitengah Lamongan. To collect the data, this research used three techniques, namely : documentation technique, refer technique, and noted technique. The result of this research there are some errors, which include : spelling errors, namely : capital letter usage errors, punctuation usage errors, it consists of dot usage errors and comma usage errors, repetition words writing errors, preposition writing errors, conjunction usage errors, and adverb of cause writing errors. Besides that, there are diction errors namely : synonim words usage error, conjunctive pairs usage error, and task word usage error. There are some sentence structure errors, namely : carelessness of words usage, incoherence, and indiscretion of words usage.
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Taufiq Kurniawan and Abdurrahim Abdurrahim. "Errors Analysis towards Collocation Usage." Dewantara : Jurnal Pendidikan Sosial Humaniora 2, no. 1 (February 19, 2023): 80–93. http://dx.doi.org/10.30640/dewantara.v2i1.665.

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The purpose of this research was to analyse the use of collocation in Speaking Skill for students of English language department of Hamzanwadi University. This research employed descriptive qualitative research design. The participants of this study comprised ten students from the fourth semester of English Department. The data was collected by three research instruments which were observation, questionnaire, and interview. The interview result showed that the understanding and students’ ability were still low frequency in using collocation and just a few of them had average frequency in the use of collocation. Moreover, the questionnaire result showed that there was only one student who had seven scores, three students had six scores, four students had five scores, and two students had three scores. It proved that they still had low frequency in using collocation in speaking. Based on this result, it is important to teach and learn the use of collocation in terms of speaking both verbally and contextually. Apart from increasing vocabulary and speaking skills, it will also facilitate other English skills such as writing and reading in academic context.
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Subekti, Nesa Amelia, Sumarwati Sumarwati, and Raheni Suhita. "ANALISIS KESALAHAN STRUKTUR DAN PEMAKAIAN BAHASA INDONESIA PADA TEKS PERSUASI KARANGAN SISWA KELAS 8 SMP DI SURAKARTA." Basastra: Jurnal Bahasa, Sastra, dan Pengajarannya 8, no. 2 (November 4, 2020): 260. http://dx.doi.org/10.20961/basastra.v8i2.42731.

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<em>The results shows that there are structure error and Indonesian language usage error on the persuasion text written by students at grade 8 of Junior High School in Surakarta. Those errors on the incomplete structure of persuasion text especially in the reaffirmation section. The Indonesian language usage errors include spelling error, diction error, and grammatical error. The most common errors of spelling comprises capital letters and punctuation marks usage particularly full stop and comma. The most-found errors of diction comprises improper diction selection and nonstandard diction. Grammatical error is mainly caused by ineffective sentence. Those errors are caused by some factors. The factors are (1) students do not understand the structure of persuasion text, (2) students have lack of spelling and diction knowledge, (3) the lack of examples given by teacher, (4) the lack of writing practice, and (5) student lack motivation within writing.</em>
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Surahwan, Subhan Wahyudi Ibnu. "Error Analysis in Using Simple Present Tense at Writing Descriptive Text in Eleventh Grade of MA Aqidah Usymuni Sumenep." Tafhim Al-'Ilmi 12, no. 2 (March 31, 2021): 272–84. http://dx.doi.org/10.37459/tafhim.v12i2.4456.

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Abstract In learning a new language, especially English, the Indonesian students are expected to master in all of English skill and also be able to communicate in English using correct structure, while in spoken or written. In other word, foreign language has different rules with first language which causes the students make some errors in their learning. In writing skill exactly, the students do some error forms in their sentence and it takes place because of some possibilities. There are two research focuses in this research. The first is what the students’ errors in using Simple Present Tense in writing Desriptive Text at the eleventh grade of MA Aqidah Usymuni Terate Pandian Sumenep are, then how do the errors take place in the students’ Desriptive Text is the second of research focus. While, it research is conducted on students’ eleventh grade of MA Aqidah Usymuni Terate Pandian Sumenep. This research will describe through of qualitative approach with descriptive analysis and cluster random sampling. In collecting the data, the researcher uses some techniques are test, documentation and interview. Then, after collected the data, the researcher analyzes it through Corder’s error analysis steps as follow: collection of samples of learner language, identification of errors, classification of errors, explanation of errors and evaluation of errors. Actually, learn English is not as easy as learn the own language, since it is foreign language. Therefore, many students make errors when they learn English, especially in writing. They make errors in four category errors are omission (be omission errors, verb omission errors, suffix –s/-es errors and auxiliary do errors), addition (be addition errors, double verb usage error, double be usage errors and time marker usage errors), misinformation (BE form errors, verb usage errors, pronoun usage errors, singular and plural form errors and auxiliary usage errors) and misordering (misplace of word). Finally, at the end of this research is the conclusion that describe the result of the study and then suggestion is offered to students especially Indonesian students and teacher special for English teacher. Keywords: Errors analysis, Simple Present Tense, Descriptive.
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Gray, Loretta S., and Paula Heuser. "Nonacademic Professionals' Perception of Usage Errors." Journal of Basic Writing 22, no. 1 (2003): 50–70. http://dx.doi.org/10.37514/jbw-j.2003.22.1.07.

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Obiegbu, Ifeyinwa. "Errors in Educated Nigerian English Usage." Language Matters 49, no. 2 (May 4, 2018): 107–27. http://dx.doi.org/10.1080/10228195.2018.1482561.

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Astri, Zul, Karmila Mokoginta, Fhadli Noer, Multazam Abubakar, and Nurul Hidjrah Hairuddin. "Analyzing Errors: An Examination of Simple Present Tense Usage in Descriptive Text." SELTICS 6, no. 1 (June 25, 2023): 24–38. http://dx.doi.org/10.46918/seltics.v6i1.1803.

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This study investigates the common errors made by students when using the simple present tense in writing descriptive texts. The aim of the study is to identify the specific types of errors that occur and to explore the factors contributing to these mistakes. The research adopts a descriptive qualitative method to gather data, employing a written test as the data collection tool. To categorize the errors, a surface strategy taxonomy is utilized, which includes four categories: omission, addition, misformation, and misorder. By analyzing the collected data, a total of 214 errors were identified, with 95 instances of omission errors, 22 addition errors, 75 formation errors, and 22 ordering errors. The findings highlight that the most prevalent type of error made by students is omission, while misformation, misorder, and addition errors are relatively less frequent. In addition to error analysis, the study explores the reasons underlying these errors, particularly focusing on interlingual and intralingual transfer. Interlingual transfer refers to the influence of a student's first language on their second language usage, while intralingual transfer refers to the influence of existing knowledge and patterns within the second language itself. These factors contribute to the occurrence of errors in the simple present tense usage within descriptive texts.
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Ingadapa, Nisanad, and Knavoot Jiamwattanapong. "EXPLORING PRONOUN USAGE ERRORS IN ENGLISH WRITING: A CASE STUDY OF THAI UNIVERSITY STUDENTS." International Journal of Education Humanities and Social Science 07, no. 02 (2024): 162–70. http://dx.doi.org/10.54922/ijehss.2024.0668.

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This research examines the errors in the use of personal pronouns in English writing by third and fourth- year students from the Faculty of Engineering, Rajamangala University of Technology Rattanakosin. The study focuses on 85 students who registered for the English Writing course in the second semester of the 2022 academic year. The objectives of the research are to identify the errors in pronoun usage among the students and provide recommendations for improving their English writing skills based on grammatical principles. The research findings reveal three main types of errors. The most common type of error is "misformation" which refers to cases when students construct incorrect pronoun patterns. This type of error accounts for 66.66% of the total errors and ranks first among all types. The second most prevalent error is "omission," which involves instances in which students skip or omit pronouns. This type of error occurs 25% of the errors and ranks second in frequency. The third type of error is "addition," which occurs when students add unnecessary pronouns. This type of error represents 6.94% of the errors and ranks third. The analysis of pronoun errors in the English writing of Thai students provides valuable insights into common issues in pronoun usage and offers suggestions for enhancing their writing skills.
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Linda, Linda, and Hanandyo Dardjito. "GRAMMATICAL ERRORS ANALYSIS OF THE THIRD SEMESTER STUDENTS’ RECOUNT ESSAYS." JELLT (Journal of English Language and Language Teaching) 4, no. 2 (December 31, 2020): 44–51. http://dx.doi.org/10.36597/jellt.v4i2.9460.

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Considering the importance of students’ errors in English learning process, this research was conducted to identify grammatical errors made by the third semester students of Universitas Sarjanawiyata Tamansiswa. Two research questions are put forward in this error analysis research. They are (1) What are the grammatical errors types made by the students when they write a recount essay? (2) What is the most grammatical error made by the students? This research applied a descriptive qualitative method with the students’ writing as the key data. The data were collected using the writing assignments of the writing lecturer. James’ theory of grammatical error categories and Corder’s theory of error analysis procedure became the main baseline theories in the data analysis. The data used in this research were collected from 16 scripts written by the third semester students. The findings show that there were 245 errors figured out in students’ recount essays. This research further revealed that 138 (56.3%) of the whole error were related to inappropriate usage of tenses. It was the most dominant error appearing in students’ writings. This category was followed by the errors of prepositions usage with a frequency of 31 (12.6%), poor usage of articles with a frequency of 29 (11.8%), errors of singular/plural with a frequency of 21 (8.6%), improper use of irregular verbs with a frequency of 11 (4.5%), poor usage of adjectives with a frequency of 7 (2.9%), inability to apply the rules of concord with a frequency of 6 (2.5%), and possessive case with a frequency of 2 (0.8%). These errors indicated students lacked of grammatical knowledge and had not been able to write an acceptable writing especially a recount text.
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Maria Olivia Christina Sianipar, Rina Octavia Simarmata, Salom Tampubolon, and Susi Era Lumbangaol. "AN ERROR ANALYSIS OF PREPOSITION USAGE IN WRITING PROCEDURE TEXT BY STUDENTS AT SMA HKBP SIDORAME." Jurnal Pendidikan dan Pengajaran (JUPEJA) 1, no. 1 (July 3, 2023): 30–33. http://dx.doi.org/10.69820/jupeja.v1i1.44.

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Writing is one of the important skills in studying English. Writing is an activity that is productive and expressive. The objectives of this research to identify the types of errors and most common errors made by the students’ in writing procedural text at SMA HKBP Sidorame. The research designed this study with mix qualitative and quantitative method with the data from students’ writing test. The findings show that: the dominant error were made by the tenth grade students of SMA Negeri 1 Barru was selection. The total incorrect error was 121. It consisted of three kinds of error, namely committed 54 errors or 47%, Then, error in omission consists of 38 errors or 31%, and the last insertion consisted of 26 errors or 22%.
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Dissertations / Theses on the topic "Errors of usage"

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Swanseen, Kimberly Dawn. "Effect of Belt Usage Reporting Errors on Injury Risk Estimates." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/76919.

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This thesis presents the results of a research effort investigating the effect of belt usage reporting errors of National Automotive Sampling System-Crash Data System (NASS-CDS) investigators on injury risk estimates. Current estimates of injury risk are developed under the assumption that NASS-CDS investigators are always accurate at determining seat belt usage. The primary purpose of this research is to determine the accuracy of NASS-CDS investigators using event data recorders (EDRs) as the baseline for accuracy, and then recalculating injury risk estimates based on our findings. The analysis of a 107 EDR dataset, from vehicle tests conducted by the National Highway Traffic Safety Administration (NHTSA) and the Insurance Institute for Highway Safety (IIHS), was conducted to determine the accuracy of Chrysler, Ford, GM and Toyota EDRs. This accuracy was examined by both EDR module type and vehicle make. EDR accuracy was determined for crash delta-V, seat belt buckle status, pre-impact speed, airbag deployment status and front seat position. From this analysis we were able to conclude that EDRs were accurate, within 4.5%, when comparing maximum delta-V of EDRs that recorded the entire crash pulse length. We also determined that EDRs were 100% accurate when reporting driver seat belt status for EDRs that completely recorded the event and recorded a status for the driver's seat belt. All GM, Ford and Chrysler EDRs in our database reported a pre-impact velocity less than 6 mph different than the NHTSA and IIHS reported pre-impact velocities. We also found that all but 2 (101 out of 103) of the GM, Ford, and Toyota EDRs correctly reported airbag deployment status. Lastly we were able to conclude that seat position status was useful in determining when a smaller sized occupant was the driver or right front occupant. EDRs reported seat position of 5% Hybrid III females as "forward" in every case that seat position was recorded for this smaller occupant size. Based on the analysis of seat belt status accuracy, a comparison of NASS-CDS investigator driver seat belt status and EDR driver seat belt status was conducted to determine the accuracy of the NASS-CDS investigators. This same comparison was conducted on reports of driver seat belt status provided by police. We found that NASS-CDS investigators had an overall error of 9.5% when determining driver seat belt status. When the EDR stated that the driver was unbuckled, investigators incorrectly coded buckled in of 29.5% of the cases. When the EDR stated that the driver was buckled, NASS-CDS error was only 1.2%. Police officers were less accurate than NASS-CDS investigators, with an overall error of 21.7%. When the EDR stated that the driver was buckled, police had an error of 2.4%. When the EDR stated that the driver's belt was unbuckled, police had an error of around 69%. In 2008, NASS-CDS investigators reported that drivers had an overall belt usage rate during accidents of 82%. After correcting for the errors we discovered, we estimate that the driver belt buckle status during a crash is around 72.6%. Injury risk estimates and odd ratio point estimates were then calculated for NASS-CDS investigator and EDR buckled versus unbuckled cases. The cases included only frontal collisions in which there was no rollover event or fire. Injury was defined as AIS 2+. The risk ratios and point estimates were then compared between investigators and EDRs. We found that injury risk for unbelted drivers may be over estimated by NASS-CDS investigators. The unbuckled to buckled risk ratio for EDRs was 8%-12% lower than the risk ratio calculated for NASS-CDS investigators.
Master of Science
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Sentance, Susan. "Recognising and responding to English article usage errors : an ICALL based approach." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/20176.

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Artificial Intelligence techniques are increasingly being used to enhance the area of Computer-Aided Instruction. This thesis is concerned with the area of Computer-Aided Language Learning, a subset of Computer-Aided Instruction, and demonstrates how various Artificial Intelligence techniques can be incorporated into a language system to produce an intelligent educational tool. In this thesis, the focus is on the use of English articles, which is a subtle area of the English language with which even advanced students of English have difficulty. This thesis describes Artcheck, an intelligent Computer-Aided Language Learning (ICALL) system which detects, analyses and responds to English article usage errors. This system has three main features: it has knowledge of the article usage domain; it dynamically creates a model of the student; and it adapts to the individual student. The system's knowledge of the domain consists of a set of article usage rules which reflect standard teaching practice. The information necessary to apply the rules is extracted at the natural language processing stage, and includes structural and contextual information. The system models the state of the student's knowledge at all times, in order to give informative explanations to the student about any errors which are made. It is able to generate mal-rules which account for consistent errors made by the student, using version spaces and the candidate elimination algorithm. The student model can be described as dynamic because the generation of mal-rules can create new parts of the student model, in response to student behaviour, which are not pre-determined by the system designer. The system responds to individual students by giving explanations of errors which are tailored to the student's level of ability and preferred learning style.
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Shin, Seong-Chul School of Modern Language Studies UNSW. "High frequency errors in KFL and pedagogical strategies." Awarded by:University of New South Wales. School of Modern Language Studies, 2006. http://handle.unsw.edu.au/1959.4/26162.

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The problematic areas of the teaching of Korean as a foreign language have been largely neglected in the past. Few studies combine the following three aspects: 1) an examination of learner Korean; 2) the provision of substantial linguistic and pedagogical explanations; and 3) the devising of teaching or learning strategies based on empirical evidence. By studying KFL learners and their language production, insights can be gained relating to the learning of KFL and instructors will be able to provide appropriate corrective measures. This study investigated errors produced by KFL learners, focusing primarily on high frequency orthographic, lexical and grammatical errors in written language production. The study attempts to identify key areas of difficulty in learning Korean, to investigate the possible cause of difficulties and to provide more adequate information for the teaching and learning of KFL. To this end the study uses two classes of textual data and employs both statistical and descriptive analyses. At an orthographic level the study has identified four main error categories: 1) mismatch in three series consonants, 2) mismatch in vowel sounds, 3) misuse of nasals and laterals, and 4) omission and addition of ???h???. Overall the cause of key error types correlates strongly with the differences in sound quality and sound patterns between Korean and English, with some intralingual features. At a lexical level, the study found nine types of errors including 1) semantic similarity, 2) lexical misselection and 3) overgeneralization. The findings suggest that learners have a great deal of difficulty in differentiating lexical items with similar meaning and in selecting words appropriate to particular contexts or situations. As for grammatical errors, the study identified the five most active error categories, which made up more than 80% of the total grammatical errors. An overwhelming majority of grammatical errors and case particle errors in particular were errors of substitution. Many high frequency grammatical errors had distinctive triggering factors such as particular types of verb and sentence construction. The findings of the study have several pedagogical implications. First, there are key common errors for English L1-KFL learners and these common errors need increased linguistic and pedagogical attention. Secondly, the results reinforce the need to pay more active attention to the usage of the main case particles, along with the triggering constructions causing substitutions. Thirdly, the findings suggest that different types of analysis should be done in order to facilitate a plausible description of the problematic KFL items. The study argues that despite being problematic, the items discussed in this thesis are learnable and worthy of being taught with explicit or intentional strategies and that there is a need for pedagogically effective and adequate instructional input to maximize the potential of the learner???s language development in Korean.
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Horvath, Veronika. "Errors and judgments : a sociolinguistic study of freshman composition." Virtual Press, 1996. http://liblink.bsu.edu/uhtbin/catkey/1027109.

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This study attempts to discover and describe patterns of variation in college students' overt attitudes toward a limited set of grammatical and lexical variables, the shibboleths of edited written American English usage. The basic instrument used in the study is a 115 item multiple choice questionnaire prepared by the researcher. Fifteen questions were designed to assess the respondents' social, economic, and demographic backgrounds, whereas the major part of the questionnaire elicited judgments about one hundred English sentences offering the choice between the attributes "good," "bad," and "I can't decide." This questionnaire was administered to 172 students in nine freshman composition classes during the spring semester of 1994 at Ball State University. The study sought to discover and describe systematic relationships between the answers to the first set of questions (extralinguistic data) and the second set of questions (linguistic data) by using various analytical methods and statistical techniques, such as correlation coefficients, chi-square tests, and multidimensional scaling.It was hypothesized that variation in subjects' overt judgments about linguistic variables would parallel the findings of numerous sociolinguistic studies about variation in linguistic production, and hence would pattern along the social and demographic characteristics of the subjects. However, although this study found considerable variation in the freshman students' judgments about the usage shibboleths, it did not find social or demographic correlates to the respondents' judgments.By investigating the nature of the variation in freshman composition students' notions about linguistic correctness, this study attempted to answer questions which have not been asked by traditional usage studies, sociolinguistics, or composition research. Moreover, this study has added support for linguists' claims that the traditional "mistakes" in usage handbooks have almost no empirical basis, even if they remain the favorites of most handbook authors and English teachers.
Department of English
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Whitus, Jerry D. (Jerry Dean). "Selective Versus Wholesale Error Correction of Grammar and Usage in the Papers of Adult Intermediate Level ESL Writing Students." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc504265/.

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Over 13-weeks a control group (n=7) had all errors corrected, while an experimental group (n=9) had only article and sentence construction (run-on sentences, fragments, comma splices) errors corrected. Separating the two types of errors is essential, since the latter (representing grammar) are subject to theories of acquisition and the former (representing usage) are not. One-way analyses of variance ran on pretest versus posttest found no significant difference in either groups' article errors; however, the experimental group had significantly fewer sentence construction errors, implying that teachers should be sensitive to both the correction technique and error type; researchers should not combine the two error types in gathering data.
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Rangel-Studer, Beatriz. "Self-repair in second language interaction: Dyad groups in action." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/2975.

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Describes the results of a research project that analyzes the interaction of a second language (L2) learners of English (non-native speakers (NNS)) with a native speakers (NS). The subjects of the study were four NNS and two NS of English at Imperial Valley College in Imperial, California. The first aspect of the analysis determines the way in which self-repair might be related to L2 development and the L2 learner's language proficiency level. The second aspect of the analysis determines whether the NNS use self-repair differently when the interlocutor is a NS or a NNS of English. Results of the study indicate that while there was not a correlation between overall frequency of self-repair and language proficiency, there was a relationship between frequency of particular types of repair and language proficiency.
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Mok, Yee Man Christabell. "What is revealed through errors? : a study of Hong Kong primary ESL learners." HKBU Institutional Repository, 2004. http://repository.hkbu.edu.hk/etd_ra/571.

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Jensen, Marie-Thérèse 1949. "Corrective feedback to spoken errors in adult ESL classrooms." Monash University, Faculty of Education, 2001. http://arrow.monash.edu.au/hdl/1959.1/8620.

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朱加信 and Karson Chu. "Written English errors: a case study of one secondary school in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31679808.

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Cancian, Sonia. "Una raccolta di lettere italiane inviate agli emigrati in Canada, 1954-1955." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0028/MQ50501.pdf.

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Books on the topic "Errors of usage"

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Brians, Paul. Common errors in English usage. 2nd ed. Wilsonville, Or: William, James & Co., 2009.

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Tobin, Richard L. Tobin's English usage. Indianapolis, Ind: R.J. Berg, 1985.

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Marriott, Sarah. Chambers common errors in English. Edinburgh: Chambers, 1992.

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Swan, Michael. Basic English usage. 2nd ed. London: OUP, 1987.

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Harry, Shaw. Errors in English and ways to correct them. 3rd ed. New York: Harper & Row, 1986.

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Yeager, Paul. Literally, the Best Language Book Ever. New York: Penguin Group USA, Inc., 2008.

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Yeager, Paul. Literally, the best language book ever: Annoying words and abused phrases you should never use again. New York: Penguin Group, 2008.

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Turton, N. D. Correct usage in written English. Hong Kong: Commercial Press, 1992.

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Boeuf, Dennis James Le. World talk, common errors in English from A to Z. Taipei: Cosmos Culture, 2003.

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Orellana, Marina. Buenas y malas palabras: Notas de redacción para el buen hablar y escribir. Santiago de Chile: Editorial Universitaria, 1994.

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Book chapters on the topic "Errors of usage"

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Immes, Luke, and Haim Levkowitz. "Detection of Common English Grammar Usage Errors." In Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis, 151–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19093-4_12.

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Mortimer, Bruce J. P., and Linda R. Elliott. "Identifying Errors in Tactile Displays and Best Practice Usage Guidelines." In Advances in Intelligent Systems and Computing, 226–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60384-1_22.

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Bilous, Vadym, J. Philipp Städter, Marc Gebauer, and Ulrich Berger. "Usage of Augmented Reality for Improved Human-Machine Interaction and Real-Time Error Correction of Laboratory Units." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021, 263–74. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_22.

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AbstractFor future innovations, complex Industry 4.0-technologies need to improve the interaction of humans and technology. Augmented Reality (AR) has a significant potential for this task by introducing more interactivity into modern technical assistance systems. However, AR systems are usually very expensive and thus unsuitable for small and medium-sized enterprises (SMEs). Furthermore, the machine's reliable data transfer to the AR applications and the user activity indication appear to be problematic. This work proposes a solution to these problems. A simple and scalable data transfer from industrial systems to Android applications has been developed.The suggested prototype demonstrates an AR application for troubleshooting and error correction in real-time, even on mobile or wearable devices, while working in a laboratory unit to simulate and solve various errors. The unit components (small garage doors) are equipped with sensors. The information about the state of the system is available in real-time at any given moment and is transmitted to a mobile or wearable device (tablet or smart glass) equipped with AR application. The operator is enabled to preview the required information in a graphical form (marks and cursors). Potential errors are shown and solved with an interactive manual. The system can be used for training purposes to achieve more efficient error correction and faster repairing.
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Naumann, Christian, Axel Fickert, Lars Penter, Carola Gißke, Eric Wenkler, Janine Glänzel, Philipp Klimant, and Martin Dix. "Evaluation of Thermal Error Compensation Strategies Regarding Their Influence on Accuracy and Energy Efficiency of Machine Tools." In Lecture Notes in Mechanical Engineering, 157–65. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_18.

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AbstractFriction, electrical losses, cooling systems and ambient conditions influence the thermal field of machine tools and cause a significant amount of positioning inaccuracies and production errors. Compensation strategies aim to reduce the thermal error in machine tools. The global urgency for energy-efficient production also affects the selection of specific compensation strategies, especially since some of them consume significant amounts of energy while others are potential energy savers. As of today, there is no method to select the optimal compensation strategy for thermal errors in machine tools. The main reasons are that the quality of any compensation strategy depends heavily on the examined machine tool and its intended usage. Besides this, there are several, often conflicting assessment criteria.This paper provides an overview of existing compensation strategies and presents an evaluation of their effect on the energy consumption. The investigated strategies comprise methods for reducing the heat losses, for decreasing the sensitivity of the tool center point to thermal influences, cooling strategies for removing heat from the machine tool, air conditioning and methods for controllable heat transfer and also various computational methods aimed at predicting and correcting the existing thermal positioning error in the machine tool control.As an addition to previous research, the rating of thermal error compensation strategies was extended by their effect on energy efficiency. The authors demonstrate that accuracy and energy efficiency must be considered jointly for each individual machine tool and manufacturing task.
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Stevens, Ian, and Frédéric Gilbert. "Experimental Usage of AI Brain-Computer Interfaces: Computerized Errors, Side-Effects, and Alteration of Personality." In Ethics of Medical Innovation, Experimentation, and Enhancement in Military and Humanitarian Contexts, 195–209. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36319-2_12.

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Han, Yingjie, Aiying Lin, Yonggang Wu, and Hongying Zan. "Usage-Based Automatic Recognition of Grammar Errors of Conjunctions in Teaching Chinese as a Second Language." In Lecture Notes in Computer Science, 519–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45185-0_54.

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Salsabila, Syefira, Agnes Mersatika Hartoyo, Rastika Dwiyanti Liaran, La Ode Liaumin, Akil Munawar, and Anugerah Febryan Alghi. "Characteristics of Junior High School Students with Refractive Errors: Descriptive Data on Nutritional Knowledge and Gadget Usage." In Advances in Health Sciences Research, 170–77. Dordrecht: Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-427-3_20.

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Politano, Mariano, Valeria Bengolea, Facundo Molina, Nazareno Aguirre, Marcelo F. Frias, and Pablo Ponzio. "Efficient Bounded Exhaustive Input Generation from Program APIs." In Fundamental Approaches to Software Engineering, 111–32. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30826-0_6.

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AbstractBounded exhaustive input generation (BEG) is an effective approach to reveal software faults. However, existing BEG approaches require a precise specification of the valid inputs, i.e., a , that must be provided by the user. Writing s for BEG is challenging and time consuming, and they are seldom available in software.In this paper, we introduce , an efficient approach that employs routines from the API of the software under test to perform BEG. Like API-based test generation approaches, creates sequences of calls to methods from the API, and executes them to generate inputs. As opposed to existing BEG approaches, does not require a to be provided by the user. To make BEG from the API feasible, implements three key pruning techniques: (i) discarding test sequences whose execution produces exceptions violating API usage rules, (ii) state matching to discard test sequences that produce inputs already created by previously explored test sequences, and (iii) the automated identification and use of a subset of methods from the API, called builders, that is sufficient to perform BEG.Our experimental assessment shows that ’s efficiency and scalability is competitive with existing BEG approaches, without the need for s. We also show that can assist the user in finding flaws in s, by (automatically) comparing inputs generated by with those generated from a . Using this approach, we revealed several errors in s taken from the assessment of related tools, demonstrating the difficulties of writing precise s for BEG.
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Marjai, Péter, and Attila Kiss. "A Survey on the Usage of Centrality Measures in Error Prediction." In Lecture Notes in Networks and Systems, 157–67. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62273-1_11.

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Mounter, William, Huda Dawood, and Nashwan Dawood. "The Impact of Data Segmentation in Predicting Monthly Building Energy Use with Support Vector Regression." In Springer Proceedings in Energy, 69–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_9.

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AbstractAdvances in metering technologies and machine learning methods provide both opportunities and challenges for predicting building energy usage in the both the short and long term. However, there are minimal studies on comparing machine learning techniques in predicting building energy usage on their rolling horizon, compared with comparisons based upon a singular forecast range. With the majority of forecasts ranges being within the range of one week, due to the significant increases in error beyond short term building energy prediction. The aim of this paper is to investigate how the accuracy of building energy predictions can be improved for long term predictions, in part of a larger study into which machine learning techniques predict more accuracy within different forecast ranges. In this case study the ‘Clarendon building’ of Teesside University was selected for use in using it’s BMS data (Building Management System) to predict the building’s overall energy usage with Support Vector Regression. Examining how altering what data is used to train the models, impacts their overall accuracy. Such as by segmenting the model by building modes (Active and dormant), or by days of the week (Weekdays and weekends). Of which it was observed that modelling building weekday and weekend energy usage, lead to a reduction of 11% MAPE on average compared with unsegmented predictions.
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Conference papers on the topic "Errors of usage"

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Murali, Vijayaraghavan, Swarat Chaudhuri, and Chris Jermaine. "Bayesian specification learning for finding API usage errors." In ESEC/FSE'17: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3106237.3106284.

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Pratiwi, Indry Julyanti, Dudung Gumilar, and Dante Darmawangsa. "Errors of Deixis Usage in French Narrative Texts." In 4th International Conference on Language, Literature, Culture, and Education (ICOLLITE 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.201215.052.

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Zhang, Jinbin, and Heng Wang. "Multi-Task Learning for Chinese Word Usage Errors Detection." In 2018 3rd International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2018. http://dx.doi.org/10.1109/iccia.2018.00024.

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Young, Richard M., and Joyce Whittington. "Using a knowledge analysis to predict conceptual errors in text-editor usage." In the SIGCHI conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/97243.97260.

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Teng, Zhongwei, Jacob Tate, William Nock, Carlos Olea, and Jules White. "Checklist Usage in Secure Software Development." In 10th International Conference on Natural Language Processing (NLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112322.

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Checklists have been used to increase safety in aviation and help prevent mistakes in surgeries. However, despite the success of checklists in many domains, checklists have not been universally successful in improving safety. A large volume of checklists is being published online for helping software developers produce more secure code and avoid mistakes that lead to cyber-security vulnerabilities. It is not clear if these secure development checklists are an effective method of teaching developers to avoid cyber-security mistakes and reducing coding errors that introduce vulnerabilities. This paper presents in-process research looking at the secure coding checklists available online, how they map to well-known checklist formats investigated in prior human factors research, and unique pitfalls that some secure development checklists exhibit related to decidability, abstraction, and reuse.
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Egorov, D. P., Ya A. Ilyushin, B. G. Kutuza, and Ya V. Koptsov. "Cloud Liquid Content Retrieval Errors Related to the Flat-layered Cloudfield Model Usage." In 2021 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2021. http://dx.doi.org/10.1109/piers53385.2021.9695037.

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Borell, Jonas, Anna-lisa Osvalder, and Bijan Aryana. "Evaluating the Correct Usage, Comfort and Fit of Personal Protective Equipment in Construction Work." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004812.

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Several factors contribute to the use, non-use, or inadequate use of personal protective equipment (PPE) in construction work. This study aimed to analyse correct usage of various PPE, such as helmet, ear protectors, goggles, respiratory mask, gloves, protective clothing, and a safety harness. Correct usage was assessed as guessability, which refers to human perceptions of how to don, adjust, use, and doff the equipment as intended. First an analytical evaluation was conducted using ECW (enhanced cognitive walkthrough) and PUEA (predictive use error analysis) to identify usability problems and use errors during handling. Then usability tests were performed with 13 persons of different heights and body constitutions. Observations, the think-aloud method, short interviews, and subjective estimations were employed. The analytical evaluation revealed most minor usability problems and use errors resulting in physical discomfort. Some safety harness-related errors emerged, particularly for novices, potentially leading to severe incidents. The usability tests demonstrated physical as well as functional discomfort when using a combination of PPE, intensifying over time. The combination of goggles and face mask caused pressure, chafing, heat rash and limited vision. The helmet, combined with goggles and ear protectors, did not fit well, and caused pressure. The guessability for donning and wearing the combination of PPE was moderate, requiring time for proper adjustment. The guessability of the safety harness was poor, lacking design cues for donning, adjusting, and positioning on skeletal bones. Physical discomfort arose when straps were overly tightened. Not all straps could be adjusted for some body constitutions, compromising safety. In conclusion, using several types of PPE together may lead to physical and functional discomfort and pain over time, potentially resulting in misuse, non-use, or reduced performance. The findings of this study can serve as a basis for redesigning PPE, particularly for scenarios involving combined usage.
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Shiue, Yow-Ting, Hen-Hsen Huang, and Hsin-Hsi Chen. "Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/p17-2064.

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Quintero Aguilo, Pedro O., Ricky Valentin, and Pablo Caceres Valencia. "Canaries Development via Combinatorial Materials Science Techniques for Prognostics and Health Management in Electronics Systems." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3860.

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The design of a canary in a system aims at the detection of failures without causing an error in the system. The idea behind a canary is to have a system that will provide an early warning in a way that a fault-tolerant system will continue its intended function despite the potential presence of hardware errors. This paper presents methods to collect and analyze life-cycle environmental and usage data for in-situ health assessments. The FARM method is also provided to develop a canary life cycle monitoring plan, that encompasses the selection of environmental and usage parameters. The multidimensional failure space of a system is analyzed with combinatorial material science. A case study is presented to illustrate the methodology.
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Oloke, David. "Improving Structural Safety in the Alteration and Refurbishment of Old Buildings." In IABSE Workshop, Helsinki 2017: Ignorance, Uncertainty, and Human Errors in Structural Engineering. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2017. http://dx.doi.org/10.2749/helsinki.2017.051.

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Building alteration and refurbishment continue to dominate the construction activities in the UK and many developed economies. This is because the need to upgrade older buildings to achieve better functional usage and energy (or even) structural performance standards are continuously required. However, due to the fact that in many cases, such older buildings usually have very little information available on the as-built (or historical modification) status; there is a need to plan the proposed works effectively to ensure that health and safety is not compromised in any way. Structural safety must be assessed before, during and after the works and the need to incorporate this into the work programme is highly essential. This research examines some recent projects in the UK where the author was consultant structural engineer and researcher. It explores the methods used to ensure that structural safety is achieved throughout the works. These principles were incorporated into the project cycles involving the: brief, initial assessment, initial design, initial strip out, construction stage 1, complementary designs, construction stage 2 and project completion and hand over. This strategy is innovative as it facilitated an integrated and systematic approach to the use of risk assessment for structural safety in the light of the dynamic nature of construction refurbishment sites. Key learning points are discussed with a view to contribute to knowledge and engender wider debate in the development of current Guides and Approved Codes of Practice. Issues for further research are also highlighted.
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Reports on the topic "Errors of usage"

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Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39699.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, for the first time, quantitative analysis of spatial model errors within the U.S. Army Corps of Engineers (USACE) Wave Information Study (WIS) 30+ year hindcast for coastal United States. The system is demonstrated on the WIS 2017 Atlantic hindcast, using a 1/2° basin scale grid and a 1/4° regional grid of the East Coast. Consistent spatial patterns of increased bias and root-mean-square-error are exposed. Seasonal strengthening and weakening of these spatial patterns are found, related to the seasonal variation of wave energy. Some model errors correspond to areas known for high currents, and thus wave-current interaction. In conjunction with the model comparison, additional functions for pairing altimeter measurements with buoy data and storm tracks have been built. Appendices give information on the code access (Appendix I), organization and files (Appendix II), example usage (Appendix III), and demonstrating options (Appendix IV).
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McKay, S., Nate Richards, and Todd Swannack. Ecological model development : evaluation of system quality. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45380.

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Ecological models are used throughout the US Army Corps of Engineers (USACE) to inform decisions related to ecosystem restoration, water operations, environmental impact assessment, environmental mitigation, and other topics. Ecological models are typically developed in phases of conceptualization, quantification, evaluation, application, and communication. Evaluation is a process for assessing the technical quality, reliability, and ecological basis of a model and includes techniques such as calibration, verification, validation, and review. In this technical note (TN), we describe an approach for evaluating system quality, which generally includes the computational integrity, numerical accuracy, and programming of a model or modeling system. Methods are presented for avoiding computational errors during development, detecting errors through model testing, and updating models based on review and use. A formal structure is proposed for model test plans and subsequently demonstrated for a hypothetical habitat suitability model. Overall, this TN provides ecological modeling practitioners with a rapid guide for evaluating system quality.
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Conery, Ian, Nicholas Olsen, Shannon Brown, and Katherine Brodie. Quantifying coastal evolution and project performance at beaches by using satellite imagery. Engineer Research and Development Center (U.S.), June 2024. http://dx.doi.org/10.21079/11681/48671.

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Accurately delineating the shoreline is crucial for tracking coastal evolution, community vulnerability, storm impacts, and for coastal management decision-making. However, existing shoreline measurement methods are often time-consuming and expensive and therefore, USACE Districts are often forced to narrow areas of interest or monitoring frequency, decreasing the likelihood of making data-driven management decisions, especially over regional scales. In the last decade, space-borne earth observations have captured images subweekly, and can potentially be used for shoreline monitoring. This work investigated the Python-based CoastSat toolkit and compared the shorelines derived from publicly available satellite imagery to ground truth surveys at 37 sites across the nation chosen in coordination with Districts. Mean horizontal errors ranged from 4.21 to 20.58 m with an overall mean of 11.32 m. Tidal corrections improved accuracies at 82% of sites. The CoastSat slope function was tested and there were negligible differences in shoreline accuracy when compared with user-defined slopes. Twenty-year satellite-derived trends generally align well with ground truth trends. The satellite approach identified quantifying storm impacts and recovery, beach nourishment equilibration, diffusion and decay, shoreline response to nearshore berm placements and decadal shoreline evolution at the evaluated district sites. Work is ongoing to transition to a user-friendly software tool.
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Rémy, Elisabeth, Romain Escudier, and Alexandre Mignot. Access impact of observations. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.8.

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The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be assimilated. In situ observations are complementary to satellite observations that are restricted to the ocean surface. Higher resolution model forecasts are required by users of the CMEMS global and regional ocean analysis and forecasts. To support this with an efficient observational constrain of the model forecast via data assimilation, an increase observation coverage is needed, associated with an improved usage of the available ocean observations. This work exploits the capabilities of operational systems to provide comprehensive information for the evolution of the GOOS. In this report, we analyse the use and the efficiency of the in-situ observations to constrain regional and global Mercator Ocean systems. Physical and biogeochemical variables are considered. The in-situ observations are used either to estimate physical ocean state at global and regional scale via data assimilation or to estimate BGC model parameters. The impact of the physical in situ observations assimilated in open ocean and coastal areas is assessed with numerical data assimilation experiments. The experiments are conducted with the regional 1/36° resolution and global 1/12° resolution systems operated by Mercator Ocean for the Copernicus Marine Service. For the global physical ocean, the focus is on the tropical ocean to better understand how the tropical mooring observations constrain the intraseasonal to daily variability and the complementarity with satellite observations and the deep ocean. The tropical moorings provide unique high frequency observations at different depth, but they are far away from each other, so part of the signal in the observation are decorrelated from one mooring to the others. It is only via an integrated approach, as data assimilation into a dynamical model and complementarity with other observing networks that those observations can efficiently constrain the different scales of variability of the tropical ocean circulation. As the satellite observations brings higher spatial resolution between the tropical moorings but for the ocean surface, we show that the tropical mooring and Argo profile data assimilation constrain the larger scale ocean thermohaline vertical structure (EuroSea D2.2; Gasparin et al., 2023). The representation of the high frequency signals observed at mooring location is also significantly improved in the model analysis compared to a non-assimilative simulation. The ocean below 2000 m depth is still largely under constrained as very few observations exist. Some deep ocean basins, as the Antarctic deep ocean, shows significant trend over the past decade but they are still not accurately monitored. Based on the spread of four deep ocean reanalysis estimates, large uncertainties were estimated in representing local heat and freshwater content in the deep ocean. Additionally, temperature and salinity field comparison with deep Argo observations demonstrates that reanalysis errors in the deep ocean are of the same size as or even stronger than the observed deep ocean signal. OSSE already suggested that the deployment of a global deep Argo array will significantly constrain the deep ocean in reanalysis to be closer to the observations (Gasparin et al., 2020). At regional and coastal scales, the physical ocean circulation is dominated by higher frequency, smaller scale processes than the open ocean which requires different observation strategy to be well monitor. The impact of assimilating high frequency and high-resolution observations provided by gliders on European shelves is analysed with the regional Iberic Biscay and Irish (IBI) system. It was found that repetitive glider sections can efficiently help to constrain the transport of water masses flowing across those sections. BGC ocean models are less mature than physical ocean models and some variable dependencies are still based on empirical functions. In this task, Argo BGC profile observations were used to optimize the parameters of the global CMEMS biogeochemical model, PISCES. A particle filter algorithm was chosen to optimize a 1D configuration of PISCES in the North Atlantic. The optimization of the PISCES 1D model significantly improves the model's ability to reproduce the North Atlantic bloom Recommendations on the in-situ network extensions for real time ocean monitoring are given based on those results, and the one also obtained in the WP2, Task 2.2 where data assimilation experiments but with simulated observations where conducted. Argo extension and the complementarity with satellite altimetry was also extensively studied. (EuroSea Deliverable ; D4.8)
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