Reviewerly/exHarmony huggingface dataset:
Autonomous wheelchair under a predefined environment

This research work proposes a prototype of low-cost smart wheelchair design.The significance of this model of the wheelchair is to move autonomously around a known environment, following a definite path.Existing systems include control action using a joystick, voice recognition, head movements, and eye motion.However, these systems include limitations in terms of operating complexity, the environment in which it is used and cost.Most importantly, the limitation of the existing system is the need for the continuous effort of the user in controlling the wheelchair.Hence, this work targets to aid the physically challenged persons to have improved mobility without much of human effort.An automatic wheelchair model is proposed that empowers navigation without continuous steering of a wheelchair by the user in a known environment.The model includes a set of sensors, infrared, ultrasonic, RFID reader and tags.The other significant components are the compass module, ATmega microcontroller, and motors.This system was designed and developed to enable low cost, reduced time and effort of the user.This paper provides a comprehensive overview of the design and validation of the autonomous wheelchair system.Further, the sophistication towards the GPS enabled autonomous system could be extended, which works well in different new environments.
EFEKTIFITAS SISTEM TEMU KEMBALI ARSIP DIGITAL UNIVERSITAS LANCANG KUNING PEKANBARU

The research objective was to find out how the effectiveness of Digital Archive 2.0 software uses recall-precision equations as a means of retrieving the Lancang Yellow University digital archive system. This research was conducted from April to June 2016. The population and samples in the study were all archives that had been managed in the Lancang Kuning University archive management room with a total of 2,446 documents. This research uses qualitative methods by analyzing data, namely the process of arranging data sequences, organizing them into a pattern, category and basic unit description. Then after the data is processed and analyzed until it can be interpreted as a whole. In presenting this data the author makes it in tabulation form. All data is then used to answer the problems that have been formulated previously. From the results of the study, it was found that the recall value obtained was quite high while the precision value was also quite high, but the number of relevant documents found in the file cabinet decreased. This shows that the Digital Archive 2.0 software has a pretty good performance, but there are findings that the order or arrangement of documents on the shelves is not good, as well as the ability of human resources that are less thorough in the archive management process.
Development and Implementation of Intelligent Mathematics Teaching System Based on Individualized Learning Model

This paper inherits the advantages of the existing intelligent teaching system for mathematics and improves it by individualized learning model. A personalized intelligent teaching system of mathematics in primary schools based on EGL is studied and designed. First, the whole process of WEB2.0 program based on EGL language design is discussed based on in-depth learning, and its rationality and feasibility are analyzed. Then the specific business needs of personalized intelligent teaching are discussed and analyzed. Finally, by the implementation of the system, a relatively comprehensive system function and performance test is carried out, which proves that the scheme can effectively enhance the human-computer interaction experience of the system and improve the real-time performance of system.
Implementasi Data Mining Menentukan Game Android Paling Diminati Dengan Algoritma Apriori

- Game play at this time is greatly increased among children, teenagers and Parents . various types of games continue to emerge and steal the hearts of enthusiasts. he role of the game quite effective to eliminate saturation, fatigue, sadness, or just want to fill the free time, From starting paid games to free games. To meet The desire of gamers needs to be made an information So that fans can find out. A priori algorithm includes the type of association rules in Mining data. One stage of association analysis, which attracts many researchers to produce an efficient algorithm is the analysis of high frequency patterns (frequent pattern mining). Important or not a buffer association that is known by two benchmarks, namely: support and confidence. Support (support value) presents a combination of items in the database, while confidence (recognition capacity) is a strong correlation between items and a priori algorithm association rules can help determine specialization in a class or group. It can be concluded that the algorithm can facilitate the researcher apriosi to produce output that is measured accurately with the value of the value that has been set. The game support support value is 50%, and the results of the study can produce 80% confidence value for game Shadowrun (Dragonfall) dah Knight of pen &amp; paper 2 , while for game women the support value is 50% and the results of the research can be 66,7% for game Candy Crush Saga and other games in demand. From these data it is stated that more men like game-and-woman games. Keywords: specialization, game type, priori algorithm i
A Two-phase Ranking Method for the Relational Databases

With the extensive application of keyword query in relational database, the ranking algorithm has become an important research topic.Most existing ranking methods have adopted IR-style ranking models without considering the effects of semantic relevancy and diversity on the ranking results.In this paper, we propose a novel ranking method on the basis of semantic relevancy and diversity.First, we define the concepts of basic semantics and complex semantics and then add them to the ranking function.Next, aiming at the generation of redundancy, we design the diversity strategy to re-rank query results.Experimental results demonstrate that our method has better performance in terms of precision and recall.
A conjugate gradient based method for Decision Neural Network training

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased.The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore, decision makers can simply guess the necessary data. In this paper, for increasing the Decision Neural Network training efficiency, a conjugate gradient based method has developed for network training. The key point in decision neural network training is to keep the same structures and parameters of the two sub network (multilayer perceptron) through training process. The efficiency of the proposed method is evaluated by estimating linear and nonlinear utility function of multi-objective decision problems. The results of the proposed method are compared with previous existing method and show that in the proposed method, convergence is faster than previous methods and the results are more favorable.
Introduction to 2018 Special Libraries Association (SLA) Annual Conference Presentations on ACRL Frameworks in STEM Fields

As part of the 2018 Special Libraries Association (SLA) Annual Conference held in Baltimore, MD, seven STEM librarians participated in the lightning talk session “Putting a Frame around STEM Instru...
Memory system optimization for graph processing: a survey

Containing a variety of information, a graph is a complex data structure comprising vertices and edges. Graph processing or graph computing is the abstraction of the relation and properties of graph structures in real-life situations and performing some complex computations. Owing to the bottlenecks in the performance of the central processing unit, many coprocessors and domain-specific accelerators have been designed to improve running speed and to save energy. Considering the strong data dependence of graphs, improving the efficiency of memory access is a critical issue to improve system performance. In particular, memory management and optimization have become extremely important due to the expansion of graph data scale and the acceleration of various graph processing. This study aims to propose a memory architecture and management methods in graph processing on heterogeneous architecture. We describe the graph data layout that can improve the efficiency of memory access, analyze recent work on memory optimization and features of GPU, FPGA, ASIC, PIM, among others. Furthermore, we summarize relevant research progresses in recent years in China, and conclude the opportunities and challenges of graph processing in memory.
The Technology for Forming Students' Corporate Culture in an Educational Environment of the University

The article is dedicated to the topical problem of modern pedagogical educationformation of the students' corporate culture in the educational environment of the university.The essential features of the concepts «technology», «pedagogical technology», «personality's corporate culture » have been revealed.The author's definition of the concept «technology of the university students' corporate culture formation» has been provided.The technologizing of the students' corporate culture formation process in the educational environment of the university has been characterized.The technology of its formation in students using the potential of the auditorium and extramural activities of the university has been grounded.
Smart Urban Street Advertising Pattern Using Internet of Things Based on Environmental and Traffic Conditions

&lt;p&gt;&lt;em&gt;The rapid development of communications together with the growing usage of Internet of Things have recently provided an opportunity for transformation of information and created a new generation of advertising, called smart advertising. The main aim of this research work is to develop a pattern on smart urban street advertising to offer a meaningful connection between the &lt;/em&gt;&lt;em&gt;“&lt;/em&gt;&lt;em&gt;parameters received from the environment&lt;/em&gt;&lt;em&gt;”&lt;/em&gt;&lt;em&gt; and the &lt;/em&gt;&lt;em&gt;“&lt;/em&gt;&lt;em&gt;planned messages” displayed by smart billboards. The main idea behind the proposed pattern is to use a billboard which is capable of sensing parameters through environmental, thermal, visual and magnetic sensors. In order to investigate the existing relations between the advertisement patterns, a questionnaire has been developed and used to collect audiences’ viewpoints for selecting ads according to the criteria sensed by smart billboard. Using a sample size of 107, collected data have been analyzed to evaluate the overall vision on how to select ads through measurable criteria. Research results revealed that there is a significant relation between environmental and traffic parameters and the advertising contexts suggested by smart billboard. Therefore proposing smart billboards by detecting the environmental and traffic parameters can improve ads performance to attract the audiences.&lt;/em&gt;&lt;/p&gt;
Service Packaging: A Pattern Based Approach Towards Service Delivery

Authentication, authorization, billing and monitoring are all common service delivery functions that are generally required to be added on to core business services in order for them to be delivered online commercially. Extending core services with these service delivery functions requires considerable effort if implemented ground-up and can be subject to limitations if outsourced to a service broker or a conventional middleware platform. Because of the ubiquitous nature of these service delivery functions, we see them as reusable patterns for service delivery. In this paper we have introduce an approach to implementing and applying these patterns in business to consumer e-commerce. We name the approach Service Packaging. Through the approach, generic implementations (or service packages) of the various service delivery patterns can be incrementally applied to core services, thus enabling flexible and systematic service delivery. A core service, regardless of its business domain does not require any structural or behavioral modifications in order to conform to a specific service delivery requirement and hence can be used out of the box. We also present a prototype middleware platform for the design-time modeling and implementation of service packages as well as their runtime execution.
IMPROVING SPEAKING SKILL THROUGH INSIDE-OUTSIDE CIRCLE TECHNIQUE OF THE TENTH GRADE STUDENTS OF SMA N 8 DENPASAR

The objective of the present study is to find out whether or not speaking skill of the tenth-gradestudents of SMA N 8 Denpasar can be improved through Inside-Outside Circle. This also helps the students to think critically about a topic. A scientific research should have an objective of study because it can make the research being useful and directed. The objective of the present study is to find out whether or not speaking skill of the tenth-grade students of SMA N 8 Denpasar can be improved through Inside-outside circle. The present study was a classroom action research (CAR) as a research design which concerns with teaching speaking through Inside-outside Circle. In the present study, the teaching and learning process was a cyclical process and divided into some cycles where each cycle consisted of some interrelated activities such as planning, action, observation, and reflection. The research instruments which were used in this study were a test (pre-test and post-test), and questionnaire. Based on the findings, the pre-existing data showed that the subjects still had low skill in English especially in speaking. The result of the pre-test showed that only 9 subjects can pass the minimum passing grade. In line with the post-test of the cycle I, the data showed that 22 subjects could pass the minimum passing grade. Finally, the post-test of cycle II showed that there were 32 subjects who passed the minimum passing grade. The increasing mean score showed that the subjects’ speaking skill could be improved by implementing Inside-outside Circle.
The Discrete Test vs the Communicative Test in Measuring the Indonesia Language Competence of Foreign Students

This study aims to compare the effectiveness of discrete test instruments with communicative test instruments as a measure of Indonesian language competence of foreign students.The method applied in this research is descriptive qualitative.The subjects of this study are foreign students which are studying Indonesian language in Indonesia whom categorized as beginner level learners.Data collection was collected by test technique then analyzed its functionality as a measure of Indonesian language competence of foreign students.The results of the analysis show that: (1) the form of discrete tests is effectively used to measure the receptive language competence, i.e. listening and reading; (2) the form of communicative test is effectively used to measure the competence of productive language, i.e. writing and speaking; (3) grammar and vocabulary competence tests are more effective if they are integrated in listening, reading, writing and speaking competency tests.Thus, it can be concluded that the discrete tests and the communicative tests can be collaborated as a measuring instrument to deeply explore the competence of Indonesian language for the foreign students as the beginner level.
Video images compression and restoration methods based on optimal sampling

The study proposes video images compression and restoration methods based on multidimensional sampling theory that provide four-fold video compression and subsequent real-time restoration with loss levels below visually perceptible threshold. The proposed methods can be used separately or along with any other video compression techniques, thus providing additional quadruple compression.
Super-resolution techniques in aerial images for remote sensing

Super-resolution algorithms, specially when applied in remote sensing, are widely used for many purposes as defense and agricultural research. Classical super-resolution algorithms use multiple low-resolution (LR) images of the target to extract information and use them to build a new image of superior resolution. The LR sources must differ in the sub-pixel range. In contrast, this paper applies an iterative process, using a single LR image to produce a high resolution image.
Iterated Region for Interactive Image Segmentation on Dental Panoramic Radiograph

Image Segmentation is a process to separate between foreground and background. Segmentation process in low contrast image such as dental panoramic radiograph image is not easily determined. Image segmentation accuracy determines the success or failure of the final analysis process. The process of segmentation can occur ambiguity. This ambiguity is due to an ambiguous area if it is not selected as a region so it may have occurred cluster errors. To solve this ambiguity, we proposed a new region merging by iterated region merging process on dental panoramic radiograph image. The proposed method starts from the user marking and works iteratively to label the surrounding regions. In each iteration, the minimal gray-levels value is merged so the unknown regions significantly reduced. This experiment shows that the proposed method is effective with an average of ME and RAE of 0.04% and 0.06%.
The analysis of evaluation items of CPNS k1/k2 pre-service training participants group III DKI Jakarta Province 2018

The analysis of evaluation items is performed to determine the quality of the final evaluation instrument for pre-service training participants. This research is conducted using the Anates version 4.00 application with quantitative approaches and descriptive methods. The subjects of the study are CPNS K1/K2 Group III pre-service training participants of DKI Province, class 131-132 in 2018 as many as 60 people with 50 items of multiple choice evaluation items. The results of the analysis show that out of 50 items, there are 26 valid questions based on the correlation coefficient of 0.354 at the 1% significance level, and the correlation coefficient of 0.273 at the 5% significance level. Based on the results of the overall recap, 26 questions (52%) can be used. Those consist of questions 18 items (36%) that can be directly used and 8 items (16%) questions that can be used but must be corrected, while those that cannot be used or dropped are 24 items (48%).
An Exploratory Study on Key Issues and Expected Benefits from the Introduction of Financial Literacy Assessment in PISA in Economic Education

본 연구에서는 대표적인 국제역량평가인 국제학업성취도평가(Programme for International Student Assessment: 이하 PISA)의 금융소양 영역에 대해 소개함으로써 경제교육 관련자들의 관심을 촉구하고, 이에 대한 우리나라와 주변국의 적극적인 참여를 요청하고 있다. PISA 금융소양 영역은 학생들이 오늘날 사회에서 직면하는 금융 분야의 문제 상황에 대해 자신이 가지고 있는 지식을 어떻게 활용할 수 있는가를 평가하는 것에 초점이 맞추어져있다. 우리나라는 예산의 부담, 시행 상의 어려움, 주요 비교대상국의 부재 등의 문제로 PISA 금융소양 평가에 참여하지 않고 있다. 하지만 PISA 금융소양 평가에 참여함으로써 얻을 수 있는 이득은 적지 않다. PISA 결과에 나타난 국가 내 심층 분석 자료는 교육 정책 개선의 방향을 제시하며, 국가 간 비교 자료는 정책을 구체화시킬 수 있는 아이디어를 제공한다. 또한 경제교육과 정이 지식뿐만 아니라 실제 경제생활과 관련된 문제 해결 능력이나 지식 적용 능력을 길러줄 수 있는 방향으로 개선될 수 있도록 하는 데 도움을 줄 수 있다. 마지막으로 금융교육에 대해 미온적인 일반의 인식을 개선하고 학교 및 학교 밖 금융 및 경제교육을 활성화할 수 있는 계기로 삼을 수 있다는 점에서 의미가 있다.This study introduced the financial literacy assessment in PISA(Programme for International Student Assessment), one of the best international competence assessment, and called for the concerns and interests of the authorities concerned with financial education as well as the participation of Korea and neighboring countries in PISA. The financial literacy assessment in PISA focuses on how to assess the students utilizing their knowledge to address the financial problems they face daily. Korea currently does not participate in this PISA assessment due to several reasons: budget constraints for the payment of participant dividends, class absence, loss of focus due to additional assessment hour, and the absence of comparative countries. Nonetheless, this study believe that the following benefits by introducing and participating in the financial literacy assessment in PISA. The national data analysis of PISA test results can suggest the ways to improve financial education policies, while inter-national analysis will provide us of the more specific ideas to realize those policies. It also can help to reform the national curriculum on financial and economic education to cultivate not only economic knowledge but competencies for economic problem-solving and knowledge application in an actual economic life. Lastly, it can be an opportunity for us to invigorate social as well as school financial education, and to modify the public indifferences toward financial education.
Formalization of mathematics through proof assistants

The formalization of mathematics in practice relies heavily on proof assistants and automatic theorem provers, therefore we studied what are the state of the art proof assitants and their limitations to understand what are the main challenges in making formalized mathematics common practice among mathematicians. We found out that curretly the two major dificulties in formalizing mathematics with proof assistants are due to steep learning curves in how to use these tools and due to a wide gap between the notation employed in these proof assistants and the currently used mathematical notation. We also developed a C++ library to develop proof assistants with great notational flexibility.
Evaluation of OCR free software applied to old books

This project compares state-of-the-art Free Software Optical Character Recognition (OCR) programs. Particularly, their results over old books pages were evaluated. Moreover, in order to optimize the recognition for this kind of data input, methods that are not implemented in the programs were proposed and their results were analyzed as well.
Distortion Correction Method of Zoom Lens Based on Vanishing Point Geometric Constraint

In order to solve the problem that the nonlinear distortion of the zoom lens varies with the focal length changes, a fast correction method for zoom lens based on the minimum fitting error of vanishing points is proposed. Firstly, based on the radial distortion model, the equation between the vanishing point and the radial distortion coefficient is established according to the geometric constraint of the vanishing point. And then, according to the principle of the deviation error minimization, use the least squares to fit the equation of straight line of the corrected points. Finally, the variation of distortion parameters with focal length is analyzed, the distortion parameter table between distortion parameter and focal length and the empirical formula of fitting are established. The results of images correction show that the proposed method can effectively correct the nonlinear distortion of zoom lens.