Reviewerly/exHarmony huggingface dataset:
The Influence of Letter Card Play to The Recognition of Letters for Children Aged 5-6 Years In TK Salsa Percut Sei Tuan

The purpose of this study was to determine the effect of letter cards on letter shape recognition in group B children at Salsa Percut Sei Tuan District Kindergarten.This research is a post test only control group design study.Class determination is carried out randomly with a total of one class for BI 27 children and BII 28 children, data analysis using a t-test.Based on data analysis obtained an average value in the experimental class 84.71, the highest value 121, the lowest value 49, while the average value in the control class 48.51, the highest value 100, the lowest value 25, so that the cognitive development of children in the control class obtained a significant difference (t-count> t-table was 5.487>1.688).Thus it can be concluded that there is a significant effect of playing letter cards on the introduction of letter shapes in children aged 5-6 years in Salsa Percut Kindergarten, Sei Tuan District.
Key Differences & Overlaps Between PCI and GDPR

Both PCI compliance and the General Data Protection Regulation (GDPR) are designed to enhance end-user safety and to secure personal data, but ...
STRATEGI PEMBELAJARAN PAKET C & B DENGAN MENGGUNAKAN MODEL PAKEM (PARISIPATIF, AKTIF, KREATIF DAN MENYENANGKAN) DALAM RANGKA MENINGKATKAN MUTU UNGGULAN PESERTA DIDIK (Studi Kasus UPT Pasar Sukatani Depok)

National Education should ensure educational equity, improvement of quality, relevance and efficiency of education. According to the Law no. 20 in 2003, article 17 and 18 with regard to National Education System, it’s mentioned that Paket A Program is equal to Primary Education (SD/MI), Paket B Program is equal to Lower Secondary Education (SMP/MTs) and Paket C is adequate to Upper Secondary Education (SMA/MA). Relating to that matter. Facing the barriers and challenges of this millennium era, PAKEM Model Learning Strategy rooted from learning concept, should be based on student centred learning to create fun learning environments so that students are continually motivated to learn which eventually lead the to become qualified and competent. as such current research objectives are to observe and analyse learning strategies of Paket B and C Program to gain the insight on the extent of academic result andskills of students participating in Paket B and C Program if associated with both current learning strategy and PAKEM Learning Model. Lastly, as for the design, this research customs qualitative method with Rolling Cloud Approaches
THE EFFECTIVENESS OF SUPPLEMENTAL EXERCISES TEXT BOOK ON COMPREHENDING MORPHEMES

This research is taken during the researcher has a subjects of Morphology in the classroom. The aim of this research is to find out whether supplemental exercises textbook is effective to be implemented on comprehending morpheme as well as gaining high achievement on learning morphology. All data were collected through questionnaire and test given to twenty five college students. From twenty five students, there were two students did not join the exercise, but in final test there were twenty four students took part of final exam. All data gained were analyzed by using descriptive quantitative study. The result shows that supplemental exercises textbook was effective to be implemented. It can be seen from the result of questionarrie which can be called as high category level. Further, the result of students’ learning achievement was 83%. It means that students have improved their learning achievements. Key words : Morpheme, Supplemental, Word Power
LibGuides: Library Support for Faculty: Article Linking

Information about University Libraries resources for instructional use in the classroom, online courses, and Blackboard
Sign Language Recognition

Human-Computer Interaction pushes ahead in the field of signal-based communication interpretation.Signal (Gesture) based correspondence (SL) Interpretation structure is an OK strategy to help the conference hindered people to connect with conventional people with the help of PC.When contrasted with other gesture-based communications, SL translation has got more consideration by the scientist.Some verifiable foundation, need, degree, and worry of SL are given.A vision-based hand signal affirmation system has been discussed as the hand plays a vital correspondence mode.Motion acknowledgment confronted numerous difficulties over conventional equipment-based methodology by effective usage of PC vision and example acknowledgment, it is possible to manage such a system which will be normal and recognized, by and large.In this task, the significant significance is given to hand motion development acknowledgment.These days, Interaction with the consultation disabled individuals becomes simpler when the PCs are associated with the procedure of communication and the calculations dependent on neural system models, for example, Convolutional Neural Networks (CNN) and the objective of the Convolution Operation is to evacuate the noteworthy level features, edges, from the data picture.CNN models were created for picture gathering, in which the model recognizes twodimensional data addressing an image's pixels and concealing channels, in a strategy called highlight learning.This equal method can be applied to one-dimensional courses of action of data.The model concentrates incorporates groupings data and maps within the highlight of the plan.An exceptionally new field that was attempting to conquer the obsolete issues is HUMAN-COMPUTER INTERACTIONS which are executed by AI and profound learning
Increasing Competence of Student with Special Needs Use a Decision Support System Application

This study aimed to improve student competence in conducting identification and assessment of children with special needs. The subjects of this study were the 4th semester students of FKIP UNS PLB in Orthopedagogic subjects with emotional and behavioural obstacles. There were 35 students in total. The method used in this study was qualitative comparative. The data was collected by filling out the self-evaluation instrument about the students’ understanding of identification and assessment material in the pre-test and post-test. The data obtained were then analysed in a qualitative descriptive way. Assessment includes seven aspects, namely (1) understanding of identification, (2) understanding of assessment, (3) differences of identification and assessment, (4) importance of identification and assessment of children with special needs, (5) ways of identifying and assessment, (6) implementation of identification and assessment of children with special needs, (7) identification with the Decision Support System. Based on the results obtained by the data that the seven aspects have an increase in student understanding of identification and assessment, so it can be concluded that there is an increase in student competence in the identification and assessment of children with special needs through the use of the Decision Support System (DSS) application.
RANCANG BANGUN APLIKASI SISTEM PENJADWALAN KULIAH DAN KEHADIRAN DOSEN MENGAJAR BERBASIS ANDROID MENGGUNAKAN REST SERVER

The lecture scheduling system and the presence of teaching lecturers on the XYZ campus have been carried out manually so that it often interferes with the effectiveness of the lecturer and student learning process. This prompted the writer to design and build an application for lecturing scheduling systems and the presence of Android-based teaching lecturers using Rest Server technology. The method used in designing this application is Unified Process (UP) while its implementation uses the Firemonkey Framework. This system is expected to overcome problems that often arise in the manual scheduling system for lectures on the XYZ campus.
A College-Industry Research Partnership on Software Development for Undergraduate Students

Collaboration means working together for a special purpose.When industry and academia collaborate, their purposes may be very different, e.g., academia focuses on education and theoretical research, and industry in general focuses on products and process efficiency.Therefore, it is not easy for faculty members in engineering programs to find collaboration projects that represent a win-win situation for both industry and academia.Such projects can represent a major contribution to the education of our engineering students.In this paper, we present the case of an on-going college-industry research partnership on software development and testing.The students involved in this partnership are undergraduate students from the electronics and telecommunications engineering technology program at Texas A&M.The industry sponsoring this partnership is the IP Communications Business Unit at Cisco Systems, which develops the software for voice over internet protocol (VoIP) systems, such as IP Private Branch Exchange (IP-PBX) systems or call managers.
Search-Aware Conditions for Probably Approximately Correct Heuristic Search

The notion of finding a solution that is approximately optimal with high probability was recently introduced to the field of heuristic search,formalized as Probably Approximately Correct Heuristic Search, or PAC search in short. A big challenge when constructing a PAC search algorithm is to identify when a given solution achieves the desired sub-optimality with the required confidence, allowing the search to halt and return the incumbent solution. In this paper we propose two novel methods for identifying when a PAC search can halt. Unlike previous work, the new methods provided in this paper become more knowledgeable as the search progresses. This can speedup the search, since the search can halt earlier with the proposed methods and still keeping the desired PAC solution quality guarantees.Experimental results indeed show a substantial speedup of the search in comparison to the previous approach for PAC search.
Precomputed-Direction Heuristics for Suboptimal Grid-Based Path-finding

This paper describes BubbleDragon, an entry in the 2012 Grid-based Path-Planning Competition. We aim to solve path-finding problems in the minimum time possible by precomputing paths from states in a region to its frontiers. Experimental results show that suboptimal paths for 1024x1024 grids can be retrieved in less than 1ms on average.
Development Of An Iso 9000 Implementation Quality Decision Support System

An expert system was developed to assist engineers, managers, and educators with ISO (International Standard Organization) 9000 series implementation.The decision support system is a viable learning tool for first time engineers and students involved with ISO 9000.ISO 9000 is an international quality system standard, which was released in 1987.Companies, which need greater access to the European Common market and other emerging global marketplace, must have a quality system certified to the ISO standards.By far, the most time consuming and costly step in ISO implementation is in documenting the quality system.Documentation must be performed first, before implementation, assessment, and registration.Documentation of a company's quality system is usually delegated among employees with little or no knowledge of the ISO 9000 standards.Most engineering curriculums do not include introduction to ISO standards and procedure for certification.Employees involved in the certification process must have a good understanding of the elements of ISO 9000 and the steps required to implement a quality system.An instructional decision support system has been developed to:• Familiarize the user with the ISO 9000 quality standard and its elements.• Provide general guidelines regarding the implementation of an ISO 9000 quality system.• Provide guidance and recommendations in all aspects of certification.• Assist the user in documenting a quality system.• Provide examples of quality system documentation.• Give a contact list of registrars and other reference sources related to ISO 9000.The Decision Support System will help to save time in the quality system implementation process, assist users in documentation of the quality system, and provide an ISO 9000 learning tool for engineers and managers.It could also be recognized as a viable teaching tool in academia.
A Scalable Enterprise Wide Data Gathering And Reporting System

Modern manufacturing methods require that products be assembled in the most cost efficient method available.In many cases, this includes separating the manufacturing process across several locations.Even though manufacturing takes place in several locations connections, it is necessary to provide a method to track work in process (WIP) and provide these reports to appropriate divisions of management without indicating the geographic diversity.The solution to this problem has three main parts.First, the data gathering equipment must be scalable, so as to allow virtually unlimited expansion without expensive upgrades.This is accomplished through the use of a network of barcode scanners and decoders.This barcode network communicates with a local PC that contains a database that holds new information.Unlimited scalability is achieved since each network only interfaces with one PC.Secondly, main data storage is contained on main database server.Each of the PCs running the barcode network connects periodically and adds new information from the local database to the main database.If the network is inoperable at any point, the information is not lost, since it is held in the local database.We have developed a system that provides an interactive World Wide Web (WWW) front end to the main database storage and provides management with the appropriate work tracking tools.The main database storage is refreshed at regular intervals to reflect the contents of each local database.The local database contains information from a small number of barcode decoders running on a dedicated network.Utilizing this system, it is possible to track product in real time at various locations around the world.
Capabilities in Heterogeneous Multi-Robot Systems

Groups of robots are often able to to accomplish missions that no single robot can achieve by themselves. Teamwork is a very important factor in complex, dynamic domains. In heterogeneous teams, robustness and flexibility are increased by the diversity of the robots, each contributing different capabilities. In such heterogeneous Multi-Robot Systems it is reasonable to explicitly take the robots' capabilities into account when determining which one is best suited for a task. In this paper I present a framework that formalizes robots' capabilities and provides a means to estimate their suitability for a task. In highly unpredictable domains, accurate predictions of the outcomes of a robot's actions are virtually impossible. Approximate models and algorithms are required which help to estimate the outcome with highest possible confidence. The proposed architecture can provide estimates of task solution qualities at three levels of confidence: the lowest level only taking the mere existence of capabilities into account, the middle level considering task-specific details with approximate parameters of the capabilities, and the highest confidence level considering more elaborate planning algorithms.
AI vs. IP

Most legal systems protect IP rights through criminal law, amongst various legal protections. This legal situation reflects the society's wide interest in protecting IP rights. When IP rights are violated, and the violation fulfils the basic requirements of the relevant offense, the society may indict the violator, regardless the violator's identity (corporation or human). But what if the violator is an AI entity? Most modern AI entities do have the technological capability of violating IP rights. Illegal copying of software is a common example. Could the AI entity itself be criminally liable, beyond the criminal liability of the manufacturer, end-user or owner, and beyond their civil liability? The proposed research suggests the examination of a positive answer. Using the current definitions of criminal liability, the imposition of criminal liability upon AI entities for committing IP offenses is quite feasible. The proposed research suggests feasible solutions for sentencing AI entities as well.
Factor Effects Testing for Mixture Distributions with Application to the Study of Emergence of Pontomyia Oceana

In this work, testing of factor effects to the observed data from finite mixture distributions are discussed.Likelihood ratio tests are used to test whether factors of interest have significant effects to the mixture distribution model.To carry out the likelihood ratio tests, different methods about the computation algorithm for the maximum likelihood estimation (MLE) of the parameters in the mixture models are studied.These methods are applied to the data obtained from a laboratory study on emergence of Pontomyia oceana, where the effects of factors, such as sex and temperature, to the distribution of the dates that Pontomyia oceana emerged are investigated.From the results obtained, in some cases, three-component logistic distributions are fitted to the data with two peaks very close to each other.This is somewhat surprising as merely from the histogram, it is not easy to see and usually not expected to say there are two very close peaks.From the practical point of view, as the laboratory conditions excluded the possible effects related to semi-lunar tidal fluctuations that may have a dominating influence in nature.Thus the laboratory results helps to identify all the possible factors that have minor effects.Based on the results of this study, the difference between males and females, nevertheless, suggests that sex hormone may be involved in affecting the emergence dates.The suggestion of a third peak is unexpected from our point of view and it implies that there are factors we never suspected.It is worth noting that through rigorous statistical analysis presented here, it helps to provide an objective estimation on the distribution of the emergence dates as well as the corresponding proportions and the peak synchronous emergence dates in each period under different factor effects.We only start to speculate its possible adaptive meaning after the differences have been established as a true phenomenon.From this study, it reveals some additional biological phenomena worthy of more investigations.
Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem

The main interest of the cytogenetic dosimetry is the prevision of an unknown radiation dosage based in cytogenetic analysis.In this paper the dosimetry problem is formulated as a linear calibration problem for binary response data.Two approaches are considered for inference on the quantity of interest, which is expressed as a calibration parameter in a discrete response variable situation.One is based on the maximum likelihood approach, which depends on large sample results and the second one is based on a Markov chain Monte Carlo (MCMC) simulation approach using BUGS.Application to a data set obtained from blood cultures exposed in vitro to Cobalt 60 (. 60 Co) at the Energetic Nuclear Research Center (IPEN -Brasil) is considered.
Security of PHR in Cloud Computing by Using Several Attribute Based Encryption Techniques 

Personal health record is an emerging trend in the health field for the exchange and use of personal health information. This record is now a days stored in the third party storage areas like in the cloud providers. To reduce the storage space needed and for the cost reduction, the cloud service applied. There are lots of security issues related with the storage of sensitive personal health information in the clouds. The privacy and confidentiality of personal health information have challenges when cloud storage and applications used. Here the advanced encryption methods like attribute based encryption and its variations are used. Secure sharing of personal health record is assured in this system.
Variable Selection and Computation of the Prior Probability of a Model via ROC Curves Methodology

Nowadays, extensive amounts of data are stored which require the development of specialized methods for data analysis in an understandable way. In medical data analysis many potential factors are usually intro- duced to determine an outcome response variable. The main objective of variable selection is enhancing the prediction performance of the predictor variables and identifying correctly and parsimoniously the faster and more cost-eective predictors that have an important inuence on the response. Various variable selection techniques are used to improve predictability and obtain the \best model derived from a screening procedure. In our study, we propose a variable subset selection method which extends to the classi- cation case the idea of selecting variables and combines a nonparametric criterion with a likelihood based criterion. In this work, the Area Under the ROC Curve (AUC) criterion is used from another viewpoint in order to determine more directly the important factors. The proposed method re- vealed a modication ( BIC) of the modied Bayesian Information Criterion (mBIC). The comparison of the introduced BIC to existing variable selec- tion methods is performed by some simulating experiments and the Type I and Type II error rates are calculated. Additionally, the proposed method is applied successfully to a high-dimensional Trauma data analysis, and its good predictive properties are conrmed.
Engineering and Engineering Education as Spiritual Vocations

is a contagiously enthusiastic hacker, writer, and educator with over a decade of teaching and curriculum development experience and a track record of leadership in Free, Libre, and Open Source Software (FLOSS) communities.Raised Catholic, she deliberately walked away from
Learning A Web Based Course Through Macromedia Breeze

What is the pedagogical ideal to advance web-based students' learning?There is no simple one-size-fits-all solution to this question, because in order to answer this question, there are three aspects that need to be addressed.The first aspect is: our customer.Every student is different; some learn more efficiently through visualization, some more efficiently through auditory assimilation, while others more efficiently through ability to feel, and ability to rationalize the information presented to them.The second aspect is the dimensions of learning: learning consists of the ability to understand, the ability to recall, and the ability to apply the knowledge meaningfully.The third aspect is the web technology; how much classroom interaction can it replicate?Hence we think the question could be easier answered if it is phrased this way: is there any web-based instructional technique that could catered to all types of learners in a way that they could very efficiently understand, retain, and then meaningfully applied for problem solving.We suspect there is, and we believe Macromedia Breeze has been helping our visual, auditory, kinesthetic, and logical students to understand, recall, and then apply the material they learned from warehouse management class (IT 332) more effectively than students whom have not had the experience via distance at Purdue University.Since web-based learning communicates through the Internet, which is generally a oneway transaction, instructors do not receive real-time response from students as in a classroom.This limitation can be eliminated by the software, Macromedia Breeze.Macromedia Breeze offers many functions that would increase the learning efficiency.In this paper, we will be introducing what Breeze is, what advantages it brings to the four different types of learning experiences, why and how it enhances understanding, retention, and meaningful application.The goal of this study is to raise awareness of Breeze so that future researchers will support or contest these pedagogical hypotheses through follow up empirical analysis.This paper will also present how this experiment was conducted, and what hypotheses were set up.