An Assessment of Imbalanced Control Chart Pattern Recognition by Artificial Neural Networks

Manual detection of abnormality in control data is an annoying work which requires a specialized person. Automatic detection might be simpler and effective. Various methodologies such as ANN, SVM, Fuzzy Logic, etc. have been implemented into the control chart patterns to detect abnormal patterns in real time. In general, control chart data is imbalanced, meaning the rate of minority class (abnormal pattern) is much lower than the rate of normal class (normal pattern). To take this fact into consideration, authors implemented a weighting strategy in conjunction with ANN and investigated the performance of weighted ANN for several abnormal patterns, then compared its performance with regular ANN. This comparison is also made under different conditions, for example, abnormal and normal patterns are separable, partially separable, inseparable and the length of data is fixed as being 10,20, and 30 for each. Based on numerical results, weighting policy can better predict in some of the cases in terms of classifying samples belonging to minority class to the correct class.

Regulation of interference-sensitive crossover distribution ensures crossover assurance in Arabidopsis

During meiosis, crossovers (COs) are typically required to ensure faithful chromosomal segregation. Despite the requirement for at least one CO between each pair of chromosomes, closely spaced double COs are usually underrepresented due to a phenomenon called CO interference. Like Mus musculus and Saccharomyces cerevisiae, Arabidopsis thaliana has both interference-sensitive (Class I) and interference-insensitive (Class II) COs. However, the underlying mechanism controlling CO distribution remains largely elusive. Both AtMUS81 and AtFANCD2 promote the formation of Class II CO. Using both AtHEI10 and AtMLH1 immunostaining, two markers of Class I COs, we show that AtFANCD2 but not AtMUS81 is required for normal Class I CO distribution among chromosomes. Depleting AtFANCD2 leads to a CO distribution pattern that is intermediate between that of wild-type and a Poisson distribution. Moreover, in Atfancm, Atfigl1, and Atrmi1 mutants where increased Class II CO frequency has been reported previously, we observe Class I CO distribution patterns that are strikingly similar to Atfancd2. Surprisingly, we found that AtFANCD2 plays opposite roles in regulating CO frequency in Atfancm compared with either in Atfigl1 or Atrmi1. Together, these results reveal that although AtFANCD2, AtFANCM, AtFIGL1, and AtRMI1 regulate Class II CO frequency by distinct mechanisms, they have similar roles in controlling the distribution of Class I COs among chromosomes.

Deconstructing Learners’ Choices in Composing the Narrative Essay in Secondary Schools

This paper evaluated narrative essay writing practices in secondary schools. The major question the paper sought to answer was what choices did secondary school learners make in writing narratives based on their writing skills and competence? This was done through qualitative data in which learners’ narrative essays were evaluated to determine how faithful the learners were in sticking to the elements of the narrative. The compositions chosen were solicited from a group of students who had finished their secondary education and were waiting to join tertiary institutions. These students had attended various secondary schools and were thus suitable for the content of this paper as they manifested the different essay writing regimes adopted by different schools. These were compositions which they had written as part of their normal class exercises.

A case study into pupil perceptions of Latin, conducted with a mixed-ability Year 9 Latin class at a comprehensive faith school

This case study was prompted by the identification, in observations and in discussion with the normal class teacher, of pupil demotivation and disaffection during Latin lessons, and the fact that this represented a considerable barrier to attainment and progress. My observation of this phenomenon coincided with Year 9 submitting their GCSE options. The combination of apparently ambiguous attitudes towards the subject and the fact that these attitudes were being brought to the fore explicitly because of the options choices drew my attention to pupil perceptions of the subject. It seemed to me that understanding the way in which pupils perceive the subject might be instructive for my own teaching practice, allowing me to better understand what pupils enjoy about the subject, what they find difficult, what enthuses them and what turns them off. Furthermore, the place of Latin within schools in general, and the particular school in which I conducted this study, is not something that should be taken for granted. It seemed to me, therefore, that this case study might provide some insight into whether Latin is a subject that young people feel is relevant and perhaps might offer some insight into what can allow Latin to have as inclusive an appeal as possible.

Logical-Combinatorial Approaches in Dynamic Recognition Problems

A pattern recognition scenario, where instead of object classification into the classes by the learning set, the algorithm aims to allocate all objects to the same, the so-called "normal" class, is the research objective. Given the learning set L; the class K0 is called “normal”, and the reminder l classes K1, K2, ... , Kl from the environment K are “deviated”. The classification algorithm is for a recurrent use in a "classification, action" format. Actions Ai are defined for each “deviated” class Ki. Applied to an object x ∈ Ki, the action delivers update Ai(x) of the object. The goal is in constructing a classification algorithm A that applied repeatedly (small number of times) to the objects of L, moves the objects (correspondingly, the elements of K) to the “normal” class. In this way, the static recognition action is transferred to a dynamic domain. This paper is continuing the discussion on the “normal” class classification problem, its theoretical postulations, possible use cases, and advantages of using logical-combinatorial approaches in solving these dynamic recognition problems. Some light relation to the topics like reinforcement learning, and recurrent neural networks are also provided.

Adaptive Real-Time Method for Anomaly Detection Using Machine Learning

Anomaly detection is a sub-area of machine learning that deals with the development of methods to distinguish among normal and anomalous data. Due to the frequent use of anomaly-detection systems in monitoring and the lack of methods capable of learning in real time, this research presents a new method that provides such online adaptability. The method bases its operation on the properties of scaled convex hulls. It begins building a convex hull, using a minimum set of data, that is adapted and subdivided along time to accurately fit the boundary of the normal class data. The model has online learning ability and its execution can be carried out in a distributed and parallel way, all of them interesting advantages when dealing with big datasets. The method has been compared to other state-of-the-art algorithms demonstrating its effectiveness.

The Use of WhatsApp in Reading Lesson at the STMIK Pontianak, West Kalimantan, Indonesia

ABSTRACT: The aim of this study is to figure out the effects of WhatsApp mobile learning in teaching reading to students in the 2nd semester of Informatics Technique Program at the STMIK (College of Computer Science Management) Pontianak, West Kalimantan, Indonesia. Experimental study is the research design applied to figure out more the effect of WhatsApp usage by the learners in reading lesson. The classes are grouped into experimental and control groups. Students in experimental group have additional learning activities, besides the normal class in the classroom, that is additional learning using WhatsApp mobile learning; but students in control group just have the normal class as usual in the classroom. Questionaires, WhatsApp platforms, and Pre-post tests become the sources of data collection used. The results indicated that WhatsApp mobile learning usage in learning reading skill to the 2nd semester students of Informatics Technique Program at the STMIK Pontianak shows an insignificant results of this study. So, it is needed to support from other institutions for the ease and decent WiFi (Wireless Fidelity) access for using WhatsApp in mobile phone assisted learning.KEY WORD: Mobile Phone Assisted Learning; Reading Lesson; Using WhatsApp. ABSTRAKSI: “Penggunaan WhatsApp dalam Pelajaran Membaca di STMIK Pontianak, Kalimantan Barat, Indonesia”. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh aplikasi “WhatsApp” pada telefon genggam didalam pembelajaran membaca pada mahasiswa Program Teknik Informatika semester 2 di STMIK (Sekolah Tinggi Manajemen Ilmu Komputer) Pontianak. Studi eksperimen adalah desain penelitian yang digunakan untuk mengetahui lebih jauh pengaruh penggunaan “WhatsApp” oleh para mahasiswa dalam pelajaran membaca. Kelas dikelompokkan menjadi kelas eksperimen dan kelas kontrol. Para mahasiswa di kelas eksperimen mempunyai aktivitas belajar tambahan, selain belajar rutin di kelas, yaitu tambahan belajar menggunakan aplikasi “WhatsApp” pada telefon genggam; tetapi para mahasiswa di kelas kontrol hanya belajar seperti pada umumnya didalam kelas. Kuestioner, program “WhatsApp”, dan pra-pasca tes menjadi sumber pengumpulan data. Hasil penelitian menunjukkan bahwa penggunaan “WhatsApp” pada telefon genggam dalam pembelajaran keterampilan membaca pada mahasiswa semester 2 Program Teknik Informatika di STMIK Pontianak menunjukkan hasil yang tidak memuaskan. Jadi, diperlukan dukungan dari lembaga lain untuk kemudahan dan akses WiFi (Jaringan Internet) untuk menggunakan “WhatsApp” dalam pembelajaran berbantukan telefon genggam. KATA KUNCI: Pembelajaran Berbantukan Telefon Genggam; Pelajaran Membaca; Penggunaan “WhatsApp”.About the Author: Susanti, M.Pd. is a Lecturer of Information System at the STMIK (Sekolah Tinggi Manajemen Ilmu Komputer or College of Computer Science Management) Pontianak, Jalan Merdeka Barat No.372, Kota Pontianak, West Kalimantan, Indonesia. For academic interests, the Author is able to be contacted via e-mail address at: [email protected] Suggested Citation: Susanti. (2020). “The Use of WhatsApp in Reading Lesson at the STMIK Pontianak, West Kalimantan, Indonesia” in MIMBAR PENDIDIKAN: Jurnal Indonesia untuk Kajian Pendidikan, Volume 5(1), March, pp.57-74. Bandung, Indonesia: UPI [Indonesia University of Education] Press, ISSN 2527-3868 (print) and 2503-457X (online).Article Timeline: Accepted (January 9, 2020); Revised (February 28, 2020); and Published (March 30, 2020).

Improving Students’ Critical Mathematical Thinking Skills Through SAVI Approach on Number Theory Lectures At Mathematics Education Department of Malikussaleh University

The research aimed to see whether SAVI learning approach is better than a normal class in improving students’ critical mathematical thinking skills due to number theory lectures of mathematics. This research used a quantitative research approach with experimental method in the form of quasi-experiment. The population of this research was all the fourth semester of mathematics department students of Malikussaleh University. The sampling used was a purposive sampling that consisted of students in class A1 and A2. The research design used a non –equivalent control group design. The instrument used in this research was a set of questionnaire of critical thinking that had been validated by several validators. Then, the analysis of the improvement score of students’ critical mathematical skills used a normalized gain data which shows the improvement of students’ score classification compared to the ideal maximum score. However, the n-gain score data of students’ critical mathematical skills of control class was not normally distributed. so a non-parametric test was conducted, namely the Mann Whitney U Test. Form Test results, the Asymp. Sig. (1-tailed) value was obtined around 0.008 < α = 0,05. This shows that H0 is rejected.Hence, it means that the improvement of students’ critical mathematical skills of experimental class is significantly better than a control class. Thus, it is also proven by the hypothesis that applying SAVI approach in learning is better than a normal class without any treatment in improving students’ critical mathematical thinking skills.