Reviewerly/exHarmony huggingface dataset:
Evaluation of online team-based game development using SNS tools

Online game development activity using multi-cultural team-based learning (TBL) was examined in order to identify contributing factors to learning activities by analysing the participants' characteristics, communications, and reflections. In this study, 12 collaborating participants from two countries were divided into three teams. The main collaborative task was to develop a game and improve it is usability for users. Participants' characteristics and information literacy were measured as parameters for learning activity as well as developing a product for assessment. A learning reflection questionnaire was conducted to evaluate the participants' efficacy, satisfaction and sense of achievement in learning, and any difficulties they experienced. Participants' social media communications were classified into four categories: proposal, permission, encouragement, and acknowledgement, based on the participant's type of communication activity. These relationships were analysed to summarise participants' activities and to develop supporting procedures.
Evaluation of Classification Accuracy with Original and Compressed Images

The extent of communicated information through internet has augmented speedily over the past few years. Image compression is the preeminent way to lessen the size of the image. JPEG is the one the best technique related to lossy image compression. In this paper a novel JPEG compression algorithm with Fuzzy-Morphology techniques was proposed. The efficacy of the proposed algorithm compared to JPEG is presented with metrics like PSNR, MSE, No of bits transmitted. The proposed approaches lessen the number of encoded bits as a result tumbling the quantity of memory needed. The Planned approaches are best appropriate for the images corrupted with Gaussian, Speckle, Poisson, Salt &amp; Pepper noises. In this paper the effect of compression on classification performance was envisaged, Artificial Neural Network, Support Vector Machine, and, KNN classifiers performance is evaluated with original image data, standard JPEG compressed data and the compressed image data with the proposed method.
Independence Action Recognition using Self Similarities

Exploring Self-Similarities Of Action Sequences Over Time And Observing The Striking Stability Of Human Action Recognition. Developing An Action Descriptor That Captures The Structure Of Temporal Similarities And Dissimilarities Within An Action Sequence. Self-Likeness Descriptors Are Demonstrated To Be Steady Under Execution Varieties Inside A Group Of Activities When Person Haste Changes Are Overlooked. Changes Between Two Unique Occurrences Of A Similar Class Can Be Unequivocally Recouped With Dynamic Time Traveling. Adequate Activity Separations Are As Yet Held Along These Lines To Construct A View-Autonomous Activity Acknowledgment Framework. Strangely Self-Likenesses Are Registered From Various Picture Highlights Have Comparable Properties And Can Be Utilized In A Corresponding Manner. It Depends Powerless Geometric Properties And Joins Them With AI For Proficient Cross-See Activity Acknowledgment. It Has Comparative Or Better Execution Looked At Than Related Techniques And It Performs Well Even In Outrageous Conditions, For Example, Well Perceiving Activities From Top Perspectives.
COMPETENCE FRAMEWORKS PROTOTYPING FOR PROJECT TEAM MEMBERS

A team of competent employees is one of many factors that determine the success of a project.Many approaches have been described in the literature to help decision-makers plan competence frameworks to complete project portfolios.Few of them take into account the disruptions that may occur during the project realization caused, for example, by employee absenteeism, employee fluctuations, etc.In this area, there is still a lack of solutions (methods and implementing them IT environments) that could be used to support decision-makers in planning so-called competence frameworks robust to the disruptions, that guarantee the completion of planned project portfolios.The possibility of the practical application of the proposed method was illustrated in the example of a university.
PLACE THE CONTROLLERS WHEREVER YOU WANT: USABILITY AND USER EXPERIENCE OF CUSTOMISABLE MUSICAL DEVICES

The current study investigates how different types of multi-effects guitar devices can affect users' evaluations of usability and user experience.Participants were asked to interact with three different multi-effects devices while playing an electric guitar.Typically multi-effect pedalboards are used by musicians to modify an instrument sound.These tools allow us to distort notes or to change the duration of the produced sounds.The main difference between the three devices pertains to the placement of their controllers: fixed-pedals on the ground; movable-pedals on the ground; movable and wireless pedals that can be freely placed, at the discretion of the user (e.g., on the guitar, the user's body).The second and third devices were both prototypes designed and developed by the first author.Several usability dimensions (e.g., ease of use, enjoyment, etc.) were evaluated (i.e., ad hoc questionnaire).Besides the musical experience also the attitude towards novel technologies (i.e., personal innovativeness) was collected.Overall, the two prototypes appeared as easier to use and enjoyable compared to the fixed-pedals device.Furthermore, participants with high levels of personal innovativeness perceived the devices as more controllable.The opportunity of customizing the placement of the pedals positively affected the evaluations.The study outcomes lay the foundations for the implementation of new prototypes that could be tailored based on musicians' needs.The result will be an increment in usability and a more positive user experience.
Scheduling project resources 2

The critical path through the network plan will drive the end date of the project. There are many project and departmental managers who simply attempt to begin all project tasks at the earliest dates predicted by the critical path network. The criticality of each project as a whole can be determined by fixed dates imposed on its start and finish milestones. The computer will calculate where there are too many or too few resources available and reschedule the activities accordingly. Resource levelling is used to optimize the distribution of work among resources. Schedule compression is used to find ways of bringing activities that are behind into alignment with the plan. The bold horizontal line in the histogram in the lower half of the illustration shows the level of resources normally available. Most organizations will be able to provide access to Microsoft Project through their corporate licensing arrangements so this option will often be considered.
Research on link blocks recognition of web pages

The link block is a typical type of block structure of web pages; it is an important research object in the fields of web data mining. Firstly, block and block tree are proposed as the basic concepts of subsequent explorations, and then an approach of building block trees is put forward. Secondly, four rules for link block discrimination and two indicators for recognition results evaluation are put forward based on the concept of block. Finally, a strategy named forward algorithm for discovery of link block (FAD) is proposed and a corresponding experiment with different parameters is performed to verify the strategy. The results show that the FAD can be flexible to achieve recognition of link blocks under different granularity conditions. Concepts and approaches presented in this paper have a good prospect in the fields of web data processing such as advertising block recognition and web content extraction.
Writing Literacy Based on the Game Toward Children in Minangkabau

Writing literacy was one of the earliest known literacies in the history of human civilization.Writing literacy is classified as functional and great useful literacy in daily life, especially for low-grade students.The obstacle, the habit of writing in low class becomes a boring thing because the activities are carried out monotonously without any variation in learning.Moreover, in an increasingly modern era, lower class students are more preoccupied with technology, and it is feared that students will not be literate and do not recognize Minangkabau children's games, one of which is the finger game.Therefore, the main objective of this research was to improve writing skills based on Minangkabau children's games, namely by playing the finger.The results showed the emergence of the view that the game of finger as one of the cultures of Minangkabau children who were able to deliver early writing learning to realize writing literacy in the digital era.Early writing learning based on finger games was able to bring students into a pleasant writing habit.
Understanding the relationship between content knowledge of music teaching and music teaching efficacy of early childhood teachers

본 연구의 목적은 유아교사의 배경변인에 따른 음악교수 효능감과 음악교수 내용지식과 음악교수 효능감의 상관관계에 기초하여, 음악교수 효능감에 있어 유아교사의 배경변인과 음악교수 내용지식의 상대적 설명력을 검토함으로써 유아교사의 음악교수 효능감의 중요성을 파악하는데 있다. 어린이집과 유치원에 근무하는 유아교사 187명을 대상으로 자료를 수집하여 분석한 결과, 통합음악연수를 받은 유아교사는 통합음악연수 경험이 없는 유아교사보다 음악교수 효능감이 높게 나타났다. 또한, 석ㆍ박사 졸업 이상의 학력과 12년 이상 경력을 지닌 유아교사의 음악교수 효능감이 높게 나타났다. 유아교사의 음악교수 내용지식과 음악교수 효능감에 대한 상관분석 결과, 유아교사의 음악교수 내용지식이 높을수록 음악교수 효능감이 높았다. 음악교수 효능감에 대한 동시적 회귀분석 결과, 유아교사 학력과 경력, 음악교수 내용지식의 상대적 설명력이 유의하게 나타났다. 종합하면, 음악교수 효능감 증진을 위하여 음악교수 내용지식 향상을 위한 노력이 요구되며 이를 위해 통합음악 교사연수 프로그램의 필요성이 제기된다.To study the importance of teacher s music teaching efficacy in early childhood music education, the relationship between content knowledge of music teaching and music teaching efficacy was examined. A survey of 187 early childhood teachers was conducted. Results are as follows; First, the content knowledge of music teaching and music teaching efficacy of early childhood teachers with more than 12 years of teacher experience and in-service teacher training in the integrated music education was higher than those who did not. In addition, early childhood teachers with master s and doctoral degrees had greater content knowledge of music teaching and music teaching efficacy than other early childhood teachers. Second, music teaching content knowledge was positively related to music teaching efficacy. Finally, the simultaneous regression analysis of music teaching efficacy revealed that education level, teacher s career and content knowledge were important predictors. As a result, efforts to improve the content knowledge of musin teaching of early childhood teachers are needed to increase the effect of music education, and the necessity of an integrated music teacher education program is raised.
Enhanced Homomorphic Re-Encryption using Laplacian for Preserving the Privacy in Big Data Analytics

Big data offers various services like storing sensitive, private data and maintaining the data. Big data users may upload encrypted data rather than raw data for preserving data. Processing and analyzing the encrypted data is the primary target for attackers and hackers. Homomorphic Re-Encryption to supports access control, processed cipher-text on encrypted data and ensure data confidentiality. However, the limitation of Homomorphic Re-Encryption is the single-user system, which means it allows the party that owns a homomorphic decryption key to decrypt processed cipher-texts. Original Homomorphic Re-Encryption cannot support multiple users to access the processed cipher texts flexibly. In this paper, propose a Privacy-Preserving Big Data Processing system which support of a Homomorphic Re-Encryption using laplacian phase that extends partially from a single-group user system by offering cipher text re-encryption that allows accessing processed cipher-texts. Through the cooperation of a Data Provider, to increase the flexibility and security of our system, However apply multiple Services to take in charge of the data from their users and design computing operations over cipher-texts belonging to multiple Service. The analysis completed on proves that our Preserving the Privacy of Big Data Processing method’s to performance in terms of security is good on some datasets, inefficiency this also ensures the security and user privacy.
Secured Wireless Data Transmission using Encryption and Frequency Hopping Technique

This work aims at developing wireless communication medium a mid two nodes by using Encryption and Frequency Hopping techniques. Data Encryption is done by using Cryptography. One of the major challenges in data communication network is security. This issue becomes more critical if there is connectivity during resource sharing. In our paper, we discuss data encryption using RSA algorithm to make certain that data is confidential. Using this algorithm, sender is allowed to generate public keys to encrypt the information and receiver is been shared with a private key using a protected database to decrypt the same. An erroneous private key will decrypt the protected data but to a different form from the actual data. The data we choose for being a key, method of distributing it are vital issues in algorithms. Hence Cryptography is used to convert the message block into a private key and Frequency Hoping is done by using the Spread Spectrum technique. Also the classification of cryptographic algorithms is outlined in this paper.
The impact of economic decline on the satisfaction and productivity of the public employees in the Jordanian public-sector

Economic crisis has different consequences on economy such as bankruptcies, generalised inflation and economic decline. Accordingly, economic decline has had a notable and wide-ranging affect in terms of employee conditions and outcomes. Current paper seeks to explore the influence of the economic decline on the productivity of employees and their satisfaction in their role. Data were gathered through the completion of 435 questionnaires by the public-employees, administered randomly across the public-financial institutions in Jordan, notably making up 5% of all workers across this domain. Benchmark and deductive analysis were carried out through the application and recognition of such standard frameworks. The findings emphasised economic decline as negatively affecting both the productivity and job satisfaction of employees, with staff recognised as viewing job security as paramount when contrasted with other factors. Importantly, when considering the problematic economic conditions experienced by Jordan as a developing country, such a conclusion would be reasonable.
Capacity Side of the Point Evaluation Utilizing Programming Item Estimation

In programming industry FPA is utilized for assessing the highlights of programming ventures. The highlights are cost, span, exertion and so forth. The product achievement elements are quicker, better and less expensive. In programming improvement process, the achievement depends on undertaking arranging and estimation. Estimation is the determined guess of the aftereffect of explicit issue. It lead significant job is task arranging. One of the real estimation and measuring procedure is FPA. It is useful for evaluating the highlights of created ventures. In any case, it isn't precise for evaluating the highlights of activities to be created. So here the idea of similarity estimation and PERT are included with FPA and present another method EFPA. It can give progressively precise appraisals. It is valuable for the product business for assessing the highlights of programming.
Chatbot and its Practical Applications in the Materialistic World

These days Chat has become the new way of conversation and changed the way of life and the view that the world used to see before and due to Industrial revolution 4.0 , the gradual increase in machine learning and artificial intelligence fields has gone to higher and many companies are reaching customers to get their products with more ease . This is where chatbots are used. It all started with one question! can machines think? The concept of chatbots came into existence to check whether the machines could fool users and make them think that they are actually talking to humans and not robots. On the Other hand, with the Successes Rate of Chat bots, Different companies Started using machines for having conversations with their customers about everything which made their work simpler and reduced the need of man power. There are many different types of building a chatbot but this paper will mainly concentrate on building a Chatbot using TensorFlow API in python
K-Nearest Neighbor Based Enhanced-CBIR System

In content based image retrieval is the most widely recognized feature utilized are shape, hues, surface and so on. To improve the exactness of retrieval, it must look on the far side the old style features. The features which could without much of a stretch be extracted from information could be considered. One of such feature is directionality of the picture surface. Directional data can be spoken to in a minimized way by utilizing transform like wavelet, Gabor, Radon and so on. In this proposal, we address this issue of utilizing directional data to build exactness of enhanced-CBIR. Picture retrieval execution is assessed by utilizing Precession and Recall. These calculations are most appropriate for retrieval of textural pictures. Our proposed Enhanced-CBIR system which works combine with KNN algorithm, provides better quality of result compare than the existing CBIR framework.
An Efficient Spatial Temporal Provenance Mechanism for Adhoc Mobile Users

Location-based services rectangle measures quickly changing into vastly in different style. Additionally to services supported users' current location, several potential services believe users' currentlocation history, or their spatial-temporal place of origin.Malicious users might idle their spatial-temporal place of originwhile not a rigorously designed security system for users toprove their past locations. during this system, we tends to gift theSpatial-Temporal place of origin Assurance with Mutual Proofs theme. STAMP is meant for ad-hoc mobile usersgenerating location system proofs for every different in an exceedinglydistributed settings. However, it will simply accommodate trustyworthy mobile users and wireless access points. STAMP ensures theintegrity and non-transferability of the placement proofs andprotects users' privacy. A semi-trusted Certification Authority isemployed to distribute specific keys in addition as guard users against collusion by a light-weight entropy-based trust analysisapproach. Our image implementation is based on the Andriod platformshows that STAMP is low cost in terms of procedure and storageresources. Intensive simulation experiments show that ourentropy-based trust model is in a position to attains high collusion to detects the accuracy.
Hand Gesture Controlling using Artificial Intelligence

Presently multi day's robot is constrained by remote or mobile phone or by direct wired association. In the event that we pondering expense and required equipment, this things builds the unpredictability, particularly for low dimension application. Presently the robot that we have structured is not quite the same as over one. It doesn't require any kind of remote or any correspondence module. it is a self-enacted robot, which drives itself as indicated by the position of a client who remains before it. It does what the client wants to do. it makes a duplicate, all things considered, development of the client remaining before it. Equipment required is little, and henceforth minimal effort and little in size. Of late, there has been a flood in enthusiasm for perceiving human Hand signal controlled robot. Hand motion acknowledgment has a few uses, for example, PC amusements, gaming machines, as mouse substitution and apparatus controlled robot (for example crane, medical procedure machines, apply autonomy, counterfeit intelligence
Student evaluation system of comprehensive practical courses in Vocational Colleges Based on Fuzzy Analytic Hierarchy Process

The fuzzy analytic hierarchy process uses the membership degree of the evaluation set to represent the comprehensive evaluation results, realizes the quantitative calculation of the problems with unclear boundary to determine the nature, and realizes the objective overall evaluation of the evaluation objects restricted by many factors. By analyzing the problems of the existing student evaluation system of comprehensive practical courses, this paper determines the evaluation indexes in the student evaluation system. Using the fuzzy analytic hierarchy process, firstly, the membership matrix is established, then the weight matrix is obtained by normalizing the weight coefficient of experts, and the fuzzy evaluation matrix is synthesized. Finally, the evaluation result is obtained by multiplying the weight matrix and the fuzzy evaluation matrix. This paper selects the single chip microcomputer comprehensive practice course as the starting point to verify the feasibility of the evaluation system, and continuously improve the connotation of the system through practice. The course experimented shows that the student evaluation system of the comprehensive practice course has a good effect in the whole of week training single chip microcomputer technology.
Perception of Teenage Internet Users on Cyber Crimes (An Empirical Examination on Intermediate College Level Students in Guntur District of A.P)

(The dependence and behavior of the citizens on information security and internet activities deeply affect the route that intend for using the information technology. It is a well known factor that the growth of cyber crimes in India is a resultant factor of issues such as lack of proper training and education and the low awareness levels of Indians towards punishment for cyber crimes. This paper aims at studying the perception levels of teenage internet users towards the aspect of cyber crimes based on statutory and ethical perspectives. Descriptive research design was adopted for this study in the sample size was fixed at 120 involving the intermediate college level students of Guntur district in Andhra Pradesh. The data analysis was carried out with the help of statistical tools like t-Test and ANOVA. The findings of the study shows that there is no difference in the perception levels among male and female teenage internet users and the study further shows that there exists the significant difference in the perception levels of the respondents based on their level of education and perspectives based on statutory and ethical issues.
Trajectory planning of an autonomous mobile robot

The latest moves in trajectory planning for autonomous mobile robots are directed towards a popular investigation work. This paper introduces modified particle swarm optimisation technique called as adaptive particle swarm optimisation (APSO) and particle swarm optimisation (PSO) for trajectory length optimisation. For estimating the trajectory length of the robot, nine numbers of obstacles is selected between start and goal point in a static environment. Lastly a comparison is established between these two approaches, to identify the approach that affords shortest trajectory length in a least computation time and shortest possible travel time. Simulation result shows that APSO contributes towards curtail trajectory length at a lesser computational and travel time as compared to PSO.