Investigation of maritime accidents in the strait of Istanbul in the perspective of navigational safety: İSTANBULMAX ship type recommendation

In this study, maritime accidents that occurred in the Strait of Istanbul over a 10-year period were evaluated in terms of ship-based risk factors. The frequency analysis was performed using the R - Studio program language. In this context, the accident data obtained from the Ministry of Transport and Infrastructure Main Search and Rescue Coordination Center were matched with the ship information accessed from Türk Loydu database. Thus, ship origin risk factors to be used within the scope of the study were determined and 10 different criteria were included in the analysis. These are ship length, ship breadth, ship draught, ship age, ship DWT, turning point, turning radius, L/B ratio, B/T ratio and number of propellers. The process of creating a data set was completed by spatially filtering the data and classifying of the ship-based causes accidents. The variables were examined with frequency analysis in the perspective of the Law of Large Numbers. With the results obtained, optimum characteristics based on ship origin risk factors have been revealed for each ship type that will pass through the Strait.

Robot-Enhanced Language Learning for Children in Norwegian Day-Care Centers

In a case study, we transformed the existing learning program Language Shower, which is used in some Norwegian day-care centers in the Grorud district of Oslo municipality, into a digital solution using an app for smartphones or tablets with the option for further enhancement of the presentation by a NAO robot. The solution was tested in several iterations and multiple day-care centers over several weeks. Measurements of the children’s progress across learning sessions indicated a positive impact of the program using a robot as compared to the program without a robot. In situ observations and interviews with day-care center staff confirmed the solution’s many advantages, but also revealed some important areas for improvement. In particular, the speech recognition needs to be more flexible and robust, and special measures have to be in place to handle children speaking simultaneously.

The Effect of Combining Attention Training Program into Language-based Treatment of Anomia on Word Retrieval: A Case Report

Introduction: The present study is a case report of a 50-year-old man (SM) with aphasia whose word retrieval was severely impaired. The aim of the study was to compare the effect of a combined treatment program (attention training and language treatment) and a single program (language treatment alone) on the naming picture materials. Materials and Methods: This case was affected by a hemorrhagic cerebrovascular accident in the territory of Middle Cerebral Artery branches of the left hemisphere. Two naming treatments, i.e. the single and combined treatments sequentially, were provided for SM; during each of them a 50-item wordlist was practiced (Lists A and B). 12 treatment sessions were implemented for him during each treatment program. These two lists along with another list (List C), left for assessment of generalization of treatments to untrained items, were probed 6 times during and after each program. The whole picture set was normalized in another study described in the text. Results: Our patient’s naming ability progressed during the treatment programs. However, this progression was more salient in combined treatment program. More specifically, List B had the mean score of 34.25 in combined treatment program that was higher than mean of List A in single treatment program (14.5). The slope of List B scores was also higher than that of List A (3.7 vs 1.2). List C showed more generalization of combined treatment to untrained items than single treatment based on its mean scores (27 vs 18.5). Conclusion: the observed improvements of naming ability were felt to be the result of combining attention training into the language treatment which is lead to sustained attention, less distraction and more concentration.

Mathematical Modelling and Study of Stochastic Parameters of Computer Data Processing

The main goal of dispatching strategies is to minimize the total time for processing tasks at maximum performance of the computer system, which requires strict regulation of the workload of the processing units. To achieve this, it is necessary to conduct a preliminary study of the applied model for planning. The purpose of this article is to present an approach for automating the investigation and optimization of processes in a computer environment for task planning and processing. A stochastic input flow of incoming tasks for processing is considered and mathematical formalization of some probabilistic characteristics related to the complexity of its servicing has been made. On this basis, a software module by using program language APL2 has been developed to conduct experiments for analytical study and obtaining estimates of stochastic parameters of computer processing and dispatching. The proposed model is part of a generalized environment for program investigation of the computer processing organization and expands its field of application with additional research possibilities.

Implementation Of Bubble Sort Algorithm On 2 Fruit Models Of Data Selection Using The Java Program Language

There are various kinds of data sorting methods that we know of which are the Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Shell Sort, Heap Sort, and Radix Sort methods. All of these methods have advantages and disadvantages of each, whose use is determined based on needs. Each method has a different algorithm, where different algorithms affect the execution time. One interesting algorithm to be implemented on 2 variant models of data sorting is the Bubble Sort algorithm, the reason is that this algorithm has a fairly long and detailed process flow to produce an ordered data sequence from a previously unordered data sequence. Two (2) data sorting variant models that will be implemented using the Bubble Sort algorithm are: Ascending data sorting variants moving from left to right, and Descending data sorting variants moving from left to right. And the device used in implementing the Bubble Sort algorithm is the Java programming language.

Robot-Enhanced Language Learning for Children in Norwegian Day-Care Centers

We transformed the existing learning program Language Shower, which is used in some Norwegian day-care centers in the Grorud district of Oslo municipality, into a digital solution using an app for smartphone or tablet with the option for further enhancement of presentation by a NAO robot. The solution was tested in several iterations and multiple day-care centers over several weeks. Measurements of the children’s progress across learning sessions indicate a positive impact of the program using a robot as compared to the program without robot. In-situ observations and interviews with day care center staff confirmed the solution’s many advantages, but also revealed some important areas for improvement. In particular, the speech recognition needs to be more flexible and robust, and special measures have to be in place to handle children speaking simultaneously.

Rancang Bangun Sistem Informasi Keuangan Badan Ta’mirul Masjid Nursalam Bantik Beo Kabupaten Kepulauan Talaud

The role of computers in data processing to produce an information system is very influential in an organization or institution. The involvement of computer technology tools is very helpful in carrying out data processing activities, especially the making of financial reports at BTM at the Nu Salam Bantik Mosque. In recording the receipt and expenditure of shalawat money, problems often occur such as missing or scattered data, torn, and takes a long time. As a result, financial information becomes inaccurate because it is still done manually without involving computer technology. The research conducted discusses the Making and Development of the Financial Information System for the Ta'mirul Mosque of Nur Saalam Bantik. In designing an application, it is carried out by means of insight techniques, observation and literature study. This study is to create an application for the Development of Financial Information Systems for the Ta'mirul Mosque of Nur Salam Bantik using Microsoft Visual Basic 6.0 (VB). Microsoft Visual Basic apart from being referred to as a programming language (Program Language), Visual Basic is also often referred to as a tool (Tool) to produce windows application programs. In general, there are several benefits that can be obtained from using the Microsoft Visual Basic program itself. Computer at Mosque using OS Windows, So the applications created are programming tools that make it easy to use controls for database design.

Visualizing the cultural landscape gene of traditional settlements in China: a semiotic perspective

China has a deep traditional culture and a very long history, and is very rich in traditional settlements (designated as “Famous Historic-Cultural Villages/Towns”, “China Traditional Villages” by China Government). To help people develop the traditional settlements to achieve the great goal of Chinese National Rejuvenation, Chinese scholar put forward the Cultural Landscape Gene Theory of Traditional Settlements (CLGTS) in 2003. Since then, CLGTS has been employed to solve the issues of Chinese traditional settlements, such as the identification and regionalization of cultural genes in traditional settlements, and the understanding of architectural features. Although CLGTS has made great strides in many fields, there is still a lack of scientific findings in exploring the symbol mechanism from a perspective of semiotics. To explore this, we first examine the core features of CLGTS through a dialectic perspective. We analyze two features of CLGTS in depth. First, CLGTS is the dialectic combination of macro settlement image and micro cultural factors of traditional settlements, material appearance and inherent traditional cultural implications, overall features and local self-renewal mechanisms, qualitative and quantitative methods, superiority of cultural factors and rich cultural connotation. Second, CLGTS is famous for its nonlinearity, self-organization, and self-iteration due to various spatial shape and complex structures. Based on the above, we present the concept of a CLGTS Symbolization Method. Then, we further elaborate the key features, classification methods, and corresponding representation methods of CLGTS symbols. Finally, by using Visual C#.net program language, we develop a prototype system of the Traditional Landscape Genetic Symbol Database (TLGSD) to create and manage CLGTS symbols. Test results show that TLGSD can meet the needs of constructing a CLGTS symbol database for a given region. This study is of great significance to explore and contribute to the CLGTS Symbolization Method.

PENERAPAN STRATEGI RELATING, EXPERIENCING, APPLYING, COOPERATING, DAN TRANSFERRING UNTUK MENINGKATKAN KESADARAN POLITIK DAN MOTIVASI SISWA KELAS 11 BAHASA DAN SASTRA INDONESIA SMA GLOBAL JAYA [THE APPLICATION OF RELATING, EXPERIENCING, APPLYING, COOPERATING, AND TRANSFERRING STRATEGIES TO INCREASE THE POLITICAL AWARENESS AND MOTIVATION OF GRADE 11 INDONESIAN LANGUAGE AND LITERATURE STUDENTS AT THE GLOBAL JAYA SCHOOL]

<p class="Normal2">The course curriculum of Bahasa Indonesia Diploma Program Language and Literature Year 11 expects students to obtain political awareness to analyse text in objective manner. This awareness supports students in doing assessments especially Paper 1, which always contains political texts. Observation, questionnaire, and pretest evident the low, even the non-existence of awareness. The fact that students were not exposed to political news and Indonesian context, hindranced students from comprehensing political texts. The solution for this is to exercise political socialization through class action research and contextual learning, to help students see the relevance of studied material with their lives. Relating Experiencing Applying Cooperating Transferring (REACT) strategy were implemented to support contextual learning to raise political awareness through media literacy, language analysis, and motivation. Data is gathered from observation, questionnaires, and writtens tests against media literacy and language analysis rubrics. Whilst motivation is seen through observation against Attention Relevant Confidence Satisfaction (ARCS) design of motivation rubric. Data is processed in qualitative descriptive way, in which results demonstrated that political awareness and motivation are improved. Media literacy mastery for each indicator, reaches 67% to 89%. The mastery for language analysis reaches 67% for all indicator, while for motivation reaches 67% to 100%.</p><p class="Normal2"><strong>BAHASA INDONESIA ABSTRACT: </strong>Kurikulum kelas Bahasa Indonesia Program Diploma Bahasa dan Sastra kelas 11 mengharapkan siswa memiliki kesadaran politik untuk menganalisis teks secara objektif. Kesadaran ini mendukung siswa ketika mengerjakan asesmen, terutama <em>Paper</em> I yang selalu mengeluarkan teks bermuatan politik. Observasi, kuesioner, dan pretes ujian tertulis menunjukkan bahwa bahwa kesadaran itu sangat rendah, bahkan tidak ada. Fakta bahwa siswa tidak banyak terekspos dengan berita politik dan konteks masyarakat Indonesia mempersulit pemahaman mereka terhadap teks politik. Untuk mengatasi masalah ini, sosialisasi politik diimplementasikan melalui Penelitian tindakan kelas, dengan pembelajaran kontekstual yang berfungsi untuk menyadarkan siswa akan relevansi materi terhadap kehidupan sehari-hari. Strategi <em>Relating Experiencing Applying Cooperating Transferring </em>(REACT) mendukung pembelajaran kontekstual dalam rangka meningkatkan kesadaran politik melalui literasi media, analisis bahasa, dan motivasi. Data didapatkan dari observasi, kuesioner, dan ujian tertulis berdasarkan rubrik literasi media dan analisis bahasa. Sedangkan aspek motivasi dilihat melalui observasi yang didasarkan pada Desain motivasi <em>Attention Relevance Confidence Satisfaction</em> (ARCS). Data ini kemudian diolah secara kualitatif deskriptif, dan hasilnya menunjukkan peningkatan kesadaran politik dan motivasi. Indikator variabel literasi media mencapai ketuntasan belajar antara 67% sampai 89%. Pada variabel analisis bahasa, setiap indikator mencapai ketuntasan belajar 67%. Variable motivasi mencapai tingkat keberhasilan pada setiap indikator dengan rentang 67% sampai 100%.</p>

Neutron: an attention-based neural decompiler

Decompilation aims to analyze and transform low-level program language (PL) codes such as binary code or assembly code to obtain an equivalent high-level PL. Decompilation plays a vital role in the cyberspace security fields such as software vulnerability discovery and analysis, malicious code detection and analysis, and software engineering fields such as source code analysis, optimization, and cross-language cross-operating system migration. Unfortunately, the existing decompilers mainly rely on experts to write rules, which leads to bottlenecks such as low scalability, development difficulties, and long cycles. The generated high-level PL codes often violate the code writing specifications. Further, their readability is still relatively low. The problems mentioned above hinder the efficiency of advanced applications (e.g., vulnerability discovery) based on decompiled high-level PL codes.In this paper, we propose a decompilation approach based on the attention-based neural machine translation (NMT) mechanism, which converts low-level PL into high-level PL while acquiring legibility and keeping functionally similar. To compensate for the information asymmetry between the low-level and high-level PL, a translation method based on basic operations of low-level PL is designed. This method improves the generalization of the NMT model and captures the translation rules between PLs more accurately and efficiently. Besides, we implement a neural decompilation framework called Neutron. The evaluation of two practical applications shows that Neutron’s average program accuracy is 96.96%, which is better than the traditional NMT model.