Reviewerly/exHarmony huggingface dataset:
A Survey on Trajectory Privacy in Participatory Sensing Applications

The predominance of GPS equipped mobile and navigation devices results in the accumulation of huge trajectory data in a massive scale. The collection and distribution of these huge trajectory data may jeopardize the privacy of the participators. By knowing and tracking the user trajectories by the malicious parties could possibly endanger the user’s private information like religious habits, daily routines, health issues etc. The fear of privacy leakage may certainly to have a rethink among the participators for being the part of participatory sensing system and this will surely degrade the success of the system. In this survey, we identify the various participatory sensing privacy protection methods used in the existing participatory sensing applications and also analyses the threats from the adversaries that may affect the user privacy. We also investigate and discuss the effectiveness of various existing trajectory privacy preserving methods and checks the suitability of these methods in real-world situations. As a concluding part, we suggest the possible solutions to counter the open issues and maximize the privacy of participators in this system.
Biometrics-based User Identification for Internet Use

Internet security services such as confidentiality, authentication, integrity, and non-repudiation rely on the public-key cryptography services as well as on the user's identification techniques. Traditional user identification techniques such as passwords, personal identification numbers (PIN's), card keys, etc. cannot differentiate between an authorized person and a fraudulent impostor. Biometrics is an emerging technology, which identifies users by their physical and/or behavioural characteristics, inherently requiring that users to be identified are physically present at the point of identification. This paper survey biometrics-based user identification techniques, and shows how identification systems based on verification of user signature, voice, face, fingerprints, hand and palm geometry, etc. can be used to authenticate users for e-commerce applications or to restrict access to web pages.
An Example of Empirical and Model Based Methods for Performance Descriptors: English Proficiency Test

Great emphasis is given to the development of high-stake tests all around the world and in Turkey. However, limited emphasis is given to adequate score reporting. Too much emphasis on rankings and almost no emphasis on performance level descriptors (meaning of the scores) have leaded a “ranking culture” in Turkey. There is an immense need to raise awareness about score reporting and performance level descriptions in Turkey. This study aims to raise awareness about the use of performance level descriptors in a high-stake exam in Turkey, an English proficiency exam. The study sample is consisted of 630 undergraduate students who took the 2016-2017 English proficiency exam of a public university in the southwest of the Turkey. In order to identify the potential exemplars, two types of item mapping methods (i.e. experimental based method and model-based method) were used in the present study. Item grouping for performance level descriptors provided hierarchical and interpretable structure. Using these performance level descriptors, it is possible to give criterion referenced feedback to each student about his/her reading abilities.
ANALISA PENGARUH KUALITAS SINKAD DAN LAYANAN TERHADAP KEPUASAN MAHASISWA LEMBAGA PENDIDIKAN WEARNES EDUCATION CENTER MALANG

This research intends to analyze student satisfaction that is influenced by the quality of information and the SINKAD system, academic and non-academic services where the research was conducted at the Malang Wearnes Education Center Education Institute.&#x0D; This research used a probability sampling approach with purposive sampling “sampling technique”. The research instrument used questionnaires.The research data is processed quantitatively with multiple linear regression analysis techniques using SPSS 25.0. Results of the research are supported by qualitative data used to strengthen the results of the research.&#x0D; The results of this research showed that: (1) The relevance of the information presented by SINKAD has an influence on student satisfaction at Wearnes Education Center Malang (2) the quality of the SINKAD system does not have an influence on student satisfaction at Wearnes Education Center Malang (3) Reliability of academic services has an influence on student satisfaction at Wearnes Education Center Malang (4) Reliability of non-academic services has an influence on student satisfaction in Wearnes Education Center Malang (5) Information quality of SINKAD, quality of SINKAD system, quality of academic services and non-academic service quality together have an influence on satisfaction college student.
AUTOMATED ATTENDANCE SYSTEM FOR EFFICIENT EMPLOYEE MANAGEMENT : A BIOMETRY BASED APPROACH

Process of maintaining attendance of employees has significant impact on the Payroll Management System of an organization. Employee payroll is a considerable share of the profit earned by an organization. Attendance system plays a crucial role to ensure adequate staffing and kindles positive employee morale resulting in delivery of expected productivity standards throughout the organization. The system attempts to embrace the accountability of employees to adhere to their workplace schedule. Several prominent organizations maintain manual attendance systems as a part of their Human Resource Management System (HRMS) which is tedious and error prone. It leads to major discrepancies in maintaining the professional attendance record of the employees which in turn adversely affects the revenue of the organization. This is because of the role of analytics in attendance system which is responsible to sanction the payroll. Most of the organizations have almost 1/4th portion of its revenue sanctioned for payroll of employees. Additionally, the stipend of interns and trainees holds 1/10th of the total cost. Hence, there is a need to develop an automated attendance management system for proficient execution of the task. Integration of biometry in an HRMS based attendance systems can help in achieving this goal of automation.The automated system of attendance thus becomes enabled to analyze large amount of employee data per month by using automated tools and techniques. It is useful for analysing the working pattern and extracting the data of the associates almost immediately. This paper has analysed the contribution of automated biometric based attendance system for efficient management of the employee attendance. It has proposed incorporation of biometry in HRMS to reduce human error which in turn has a positive impact on the revenue of the organization.
Moving Object Detection from Surveillance Camera Image using Change of DCT Signs

The purpose of this research is to confirm that moving object detection is possible from surveillance camera image using change of DCT signs. First, change of DCT signs are detected between the current frame and the background image. Then, only the changed DCT signs were inversely transformed and binarized. As a result, it was possible to detect the edge part of the moving object. In conclusion, it was found that moving object detection is possible from the change of DCT signs of the surveillance camera image.
Differential evolution with k-nearest-neighbour-based mutation operator

Differential evolution (DE) is one of the most powerful global numerical optimisation algorithms in the evolutionary algorithm family and it is popular for its simplicity and effectiveness in solving numerous real-world optimisation problems in real-valued spaces. The performance of DE depends on its mutation strategy. However, the traditional mutation operators are difficult to balance the exploration and exploitation. To address these issues, in this paper, a k-nearest-neighbour-based mutation operator is proposed for improving the search ability of DE. The k-nearest-neighbour-based mutation operator is used to search in the areas which the vector density distribution is sparse. This method enhances the exploitation of DE and accelerates the convergence of the algorithm. In order to evaluate the effectiveness of our proposed mutation operator on DE, this paper compares other state-of-the-art evolutionary algorithms with the proposed algorithm. Experimental verifications are conducted on the CEC '05 competition and two real-world problems. Experimental results indicate that our proposed mutation operator is able to enhance the performance of DE and can perform significantly better than, or at least comparable to, several state-of-the-art DE variants.
Evaluasi Implementasi Knowledge Management System Penerapan E-Learning di Sekolah Menengah Atas

Abstractâ€” Knowledge Management system is an organization of knowledge that is owned by individuals in an organization. With Knowledge Management, an individual's knowledge will become an organization's knowledge so that it is beneficial for an organization. With the many Knowledge Management systems that have been implemented in several organizations in Indonesia, the researchers want to evaluate the implementation of Knowledge Management systems in the learning process by e-learning in public high schools. The background of this study is to analyze the evaluation of learning outcomes in e-learning as a medium in the learning process in public high schools. In this study, using the model applied by Tiwana regarding the implementation of knowledge management by referring to the evaluation phase based on the measurement of performance evaluation. The research method used is quantitative evaluative with purposive sampling technique.
Implication of Catchment Morphometric on Small River Discharge of Upper Citarik River, West Java

Upper Citarik River is the Inter Mountainous Valley of Volcanic Denudational Landform in the eastern part of Bandung basin, West-Java. The research area compounds of several degraded small catchments with very low water flow in dry season. This research aims  to understand the implications of morphometric characteristics (Slope, Cr, Dd, Hi) on average river flow discharge of small sub-catchments of Upper Citarik River. Discharge data collected based on measurements, while catchments morphometric identified and analyzed based on topographic map using GIS techniques.  Correlation graphs were used to understand the relationship among the morphometric parameter and the average river flow discharges. The result were as follow  the steeper the slope, the more elongated the shape of catchment, the more distant was the river density,  meaning the more younger the erosion cycle of the landform.  The younger the erosion cycle of the landform, the smaller was the average river discharge per areal unit of catchments.
Modern Forms and Methods of Analysis (Self-Analysis) and Evaluation (Self-Assessment) of Pedagogical Activity of the Teacher

The article deals with modern forms and methods of analysis and self-analysis, evaluation and self-evaluation of teachers’ pedagogical activity. The theoretical and practical experience of the application of modern forms and methods of analysis and evaluation of pedagogical activity of teachers, which are designed to solve a number of important problems of improving the educational process, is analyzed.
EUSP: An Easy-to-Use Semantic Parsing PlatForm

Semantic parsing aims to map natural language utterances into structured meaning representations.We present a modular platform, EUSP (Easy-to-Use Semantic Parsing Plat-Form), that facilitates developers to build semantic parser from scratch.Instead of requiring a large amount of training data or complex grammar knowledge, in our platform developers can build grammar-based semantic parser or neural-based semantic parser through configure files which specify the modules and components that compose semantic parsing system.A high quality grammar-based semantic parsing system only requires domain lexicons rather than costly training data for a semantic parser.Furthermore, we provide a browser-based method to generate the semantic parsing system to minimize the difficulty of development.Experimental results show that the neural-based semantic parser system achieves competitive performance on semantic parsing task, and grammar-based semantic parsers significantly improve the performance of a business search engine.
MOTIVASI BELAJAR DAN INTERAKSI SOSIAL ANAK “GIFTED”, PERAN GURU, ORANGTUA, KONSELOR, DAN SEKOLAH

The world of education is characterized by the variety of behaviors and individual differences of each child, one of which is children with learning abilities above the average of their age, or what we commonly call gifted. The uniqueness of gifted children can be seen from the way they absorb lessons and develop their thinking. However, this uniqueness is usually accompanied by decreased learning motivation and lack of ability in social interaction. The purpose of this paper is to explain the importance of the role of teachers, parents, counselors, and schools in working together and helping gifted children in facing the difficulties they face, both inside and outside the classroom.
Another Look at the Perceptron

The article explores a method for classifying elements of linearly separable sets using the Perceptron algorithm and implemented with Python. Experimented in two-dimensional space with the following sets: linearly separated, linearly separated by elements close to the line and merging elements into one another. The optimal weights of the linear predictive function weights are searched using a Stochastic Gradient Descent. The purpose is to find the weights with reference to error of the minimum predictive function minus the real value of the class, following the changing weights of the moving of the gradient. The aim of the article is to show an opportunity to solve classification problem using a single neural network. Because the classification method is limited to linearly divisible sets, and often we do not know whether the sets are such previously a variant of the perceptron algorithm is offered which, in case of impossibility of further detection of more optimal weights, stops automatically and possibly use other classification algorithms for a more accurate classification.
Irradiation and DC yield potential of solar highways in the Netherlands

With cities getting more densely populated and more energy demanding, infrastructure integrated PV technology has gained more interest from researchers, companies and governmental institutions. Among the many urban surfaces that have been studied to be used to generate solar energy, roads are one of the most enticing but controversial as well. It is first of all crucial to understand if their energy potential will be sufficient to make solar road installations a reasonable investment to begin with. As rooftop irradiation maps start to become the hotspot in the branch of solar energy modelling, the same attention should be directed to solar roads. This research aims to develop a modelling methodology to easily and quickly estimate the potential of solar roads and provide the first irradiation and DC yield potential map of solar highways in the Netherlands. The map could serve as a useful tool for advisory of research, private industry and governmental projects that helps to individuate optimal sites for solar road installation in the Netherlands. The average irradiation along highways is found to be around 880 KWh/ m2/y, 35% less then the potential of an optimally tilted conventional PV installation in South Holland. The most irradiated highways result to be A31, A5 and A200, with an average irradiation between 980 and 1000 KWh/ m2/y. The analysis of the sky view factor along the highways, discloses that in most of the cases highways are in almost free horizon conditions. This makes them an appealing location for PV installations. The DC yield potential of solar highways is obtained assuming three different technologies: mono crystalline silicon, poly crystalline silicon and CIGS. The scenario of having the entire Dutch highways network renovated into solar roads is considered unrealistic. Therefore, a glueable solar road technology is assumed. Solar highways can generate on average a DC yield of 138 kWh/m2/y in the Netherlands if poly crystalline silicon is assumed. This value can increase up to 174 kWh/ m2/y if mono crystalline silicon technology is implemented. In total, covering the entire Dutch highways network with solar road modules could generate between 3.4 and 6.6 TWh/y of electricity. This could be used to power 36% of the national street lighting demand. In addition to that, a model is developed that aims to address another compelling question regarding solar road feasibility: what is the impact of traffic? Two case studies are conducted on two of the four busiest roads in the Netherlands, the A12 and A16, based on real traffic data. It is found that traffic accounts for an average of 3% reduction of solar road irradiation potential, with maximum reduction of 7% in particular locations, such as bridges and in the nearby of ramp roads. The value does not drastically impact on the output power but still needs to be taken into consideration when designing the PV system of a solar road.
Semantic based entity retrieval and disambiguation system for Twitter streams

Social media networks have evolved as a large repository of short documents and gives the greater challenges to effectively retrieve the content out of it. Many factors were involved in this process such as restricted length of a content, informal use of language (i.e., slangs, abbreviations, styles, etc.) and low contextualization of the user generated content. To meet out the above stated problems, latest studies on context-based information searching have been developed and built on adding semantics to the user generated content into the existing knowledge base. And also, earlier, bag-of-concepts has been used to link the potential noun phrases into existing knowledge sources. Thus, in this paper, we have effectively utilized the relationships among the concepts and equivalence prevailing in the related concepts of the selected named entities by deriving the potential meaning of entities and find the semantic similarity between the named entities with three other potential sources of references (DBpedia, Anchor Texts and Twitter Trends).
Analisis Kebutuhan Materi Audio berdasarkan Kurikulum Pembelajaran Bahasa Indonesia Kelas XII Australia

Indonesian Language for Foreign Speaker (BIPA) has shown good development every year.One country with high number of Indonesian Language learners is Australia.As a close neighbour of Indonesia, Australia has special attention to Indonesian language.Some schools in Australia even require students to learn Indonesian language.Based on the initial interview with one of the teacher, it reveals that Indonesian learning materials for class XII in form of audio is still needed.Therefore, researchers are interested in conducting needs analysis to get an overview of the learning material needed as a
MRU Library Website: Spaces & Technology - Teaching & Learning: Maker Studio

The MRU Maker Studio is a creative space for students, faculty, staff and community users to explore ideas and concepts. Come in and experiment with new equipment, tools, and software to approach projects in a hands-on way. Users can design and produce cr
[PDF] NCERT Solutions for Class 4 English Unit-10 Pinocchio

NCERT Solutions for Class 4 English Unit-10 Pinocchio, are part of  NCERT Solutions for Class 4 English. Here we have given NCERT Solutions for Class 4 ...
PENGUASAAN KALIMAT BAHASA INDONESIA MURID PAUD DI KECAMATAN TAMALANREA KOTA MAKASSAR: KAJIAN TRANFORMASI GENERATIF

This research aims to analyze a single sentence of Indonesian Language mastery of Paud student in district Tamalanrea Makassar city and  analyze the compound sentence mastery Indonesian Language Paud students in district Tamalanrea city of Makassar. This descriptive study using Generative Transformation approach. The data of this research in the form of a single sentence and sentence compound diujarkan Paud studentss in district Tamalanrea city of Makassar. Method used, i.e. methods refer to the method and ably. The technique used on the method refer to the technique of elisitasi, i.e., while the techniques used in the method of recording techniques, namely, ably and noted. The results of this research show that the Paud students sentence consists of two types of sentences, i.e. a single compound sentence and sentence. Transformation of single sentences, among others, the transformation of addition, subtraction, the turn, and permutasian, the merger of the two processes of transformation, and the transformation process of the four. Compound sentences Paud studentss in district of Tamalanrea, i.e. the compound sentences and compound sentences koordinatif subordinatif. Koordinatif compound sentences based on the relationship of contradiction between clauses and additive compound sentences while subordinatif based on a relationship of causation, agricultural, suppositions, and advanced.
Skräppost eller skinka? : En jämförande studie av övervakade maskininlärningsalgoritmer för spam och ham e-mailklassifikation

Spam messages in the form of e-mail is a growing problem in today's businesses. It is a problem that costs time and resources to counteract. Research into this has been done to produce techniques a ...
Subject and Course Guides: Your Personal Librarian: Your Personal Librarian

Your Personal Librarian is your own information concierge service. Use this guide to learn about the program and to connect with Your Personal Librarian to get the most out of your UTA Libraries experience.
LibGuides: Editing and Proofreading: Online study guide

An online study guide from the Skills Centre, including guidance and electronic resources on how to efficiently edit and proofread your own work before submission.
Uma Plataforma para a Extração, Integração e Análises de Dados Científicos em Acesso Aberto

A new generation of services available mainly on the Web is changing the way of disseminating and making scientific and technological production available. There is now a trend that reinforces the exchange of information and collaboration between people. With the increasingly intense competition among research institutions, it is important for its members to determine the scope of their publications and the quality of their work compared to those of other groups, as well as to identify potential collaborators with the intention of doing work in collaboration with a view to boosting their scientific production and obtaining better results in their research. However, the large volume of scientific production data available in different formats and in different repositories makes it difficult to carry out studies and queries by users who need a unified view of this data, for example, to enable the identification of groups of individuals who are working with a particular theme in different institutions or regions. In addition, the growth and evolution of the Web gave rise to a large amount of unstructured, heterogeneous and stored textual data, with no concern for standardization in different repositories. Bibliometric studies, especially in large bibliographic repositories, are not trivial tasks considering the amount of data to be analyzed and the characteristics of the repositories, which, for the most part, do not have a defined standard. Therefore, it is evident the difficulty that exists to carry out comprehensive studies that can present in a comprehensive way analyzes on all the scientific production of a large group of individuals that are linked to different institutions or who work in different areas, such as the of all researchers in a given country. In this way, this work presents a study about the scientific production registered in the curricula registered in the Lattes Platform, thus enabling the framework proposed in this work, can also be used in different sources of data in open access for bibliometric studies based on scientific collaborations.