Reviewerly/exHarmony huggingface dataset:
Finest Round Robin Scheduling Algorithm using Effective Time Quantum

Scheduling is a most important task of operating-system function. Almost all computer resources are scheduled before use. CPU scheduling is the main task of multi -programmed operating systems. By switching the CPU among processes, the operating system can make the computer more effectively [1]. The CPU is one of the primary computer resources so its scheduling is central to operating-system design. In a simple computer system, the CPU then just sits idle. All this waiting time is wasted, no useful work is accomplished. With multiprogramming, we try to use this time productively. Several processes are kept in memory at one time. When one process has to wait, the operating system takes the CPU away from that process and gives the CPU to another process. Every time one process has to wait, another process can take over use of the CPU. In this paper, we have proposed an Finest Round Robin scheduling algorithm using Effective Time Quantum (FRRETQ) for Efficient CPU Utilization, less average waiting time and turnaround time of each process and minimum number of context switches taken to complete all processes than compare to Simple round robin and Adaptive round robin scheduling algorithms. Keywords : Scheduling, Multiprogramming, Simple round robin, Adaptive round robin, waiting time, Context switch, Turnaround time
QUANTIZED NEIGHBORHOOD LOCAL INTENSITY EXTREMA PATTERNS FOR IMAGE RETRIEVAL

Technological advancements in the field of multimedia and digital electronics enable the users create millions of images every moment.Many researchers across the world developed algorithms to retrieve the images from a database.However, obtaining the better accuracy is still an open issue in image retrieval.Texture descriptive features like Local Binary Pattern (LBP) depend on the comparison of central pixel and its neighbors.However, the impact of the adjacent pixels is ignored in encoding the binary information.Our approach primarily relies on the fact that neighbors around a specified pixel hold considerable textural .A Horizontal-vertical-diagonal-anti diagonal structure is created from the image.Sign of difference in the intensity of pixels is used to form the patterns.We propose a novel texture descriptor, termed Quantized Neighborhood Local Intensity Extrema Pattern (QNLIEP).Retrieval efficiency of QNLIEP method is evaluated in the form of Precision as well as Recall.Standard image repositories such as ImageNet-25, Brodatz are used to evaluate the efficiency.
Hybrid Reversible Data Hiding in Encrypted Satellite Images Using Fluctuation Modification Extraction and Reed-Solomon Code Embedding

In conventional hybrid reversible data hiding in encrypted images (RDHEI), the error-free extracted-bit rate condition in recovered images cannot be fully achieved (reversible) as the block size decreases because of the fluctuation function used, which cannot reduce the bit error, as indicated by the high extracted-bit error rate (EER) and low peak signal-to-noise ratio (PSNR). Therefore, this work proposes improving the accuracy of hybrid RDHEI performance for remote sensing satellite images by modifying the fluctuation function in the data extraction process with and without the Reed-Solomon (RS) codes in the data embedding process. The proposed fluctuation function takes the absolute difference in the actual value of two adjacent pixels in horizontal and vertical pixels. The modified fluctuation function algorithm in the extraction process both with and without RS codes in the embedding data process is derived, and performance results are obtained through simulations of SPOT-6, SPOT-7, and Pleiades-1A satellite images. The simulation results show that the proposed hybrid RDHEI algorithm with modification of the fluctuation function without an RS encoder can achieve error-free extracted-bit and maximum PSNR (infinity) values at a block size of 18 × 18 for SPOT-6 and SPOT-7 test images, as well as a block size of 20 × 20 for the Pleiades-1A test image. It is proven that the proposed hybrid RDHEI succeeds in reducing the minimum block size from reference systems. In addition, it can also be seen that the proposed hybrid RDHEI with modification of the fluctuation function and RS coding in data embedding can reduce the minimum block size to achieve error-free extracted bits to 9 × 9 for SPOT-6 and SPOT-7 test images and 10 × 10 for the Pleiades-1A test image.
Randomized Mini-publics, Popular Will Formation and the Societal Conditions of Deliberative Learning Processes

This essay is part of a dossier on Cristina Lafont's book Democracy without Shortcuts.
LibGuides: Art and Design: New Resources

A guide to all the Library Services resources to help you with your studies. A selection of resources, recently purchased for your subject area.
Estrategias didácticas en entornos virtuales de enseñanza-aprendizaje universitarios

The new systems of teaching learning implemented on the base of telecommunications and the interactive technologies, they require a pedagogic model with bigger levels of flexibility and adaptability. Learning, like virtual spaces where they offer different services and tools that allow to the participants the construction of knowledge, the cooperation and the interaction with other ones systematizes the job of didactic strategies at the virtual surroundings of teaching itself in the scientific article. The didactic strategies for virtual surrounding of teaching knowledge and the virtual platform for himself do not generate learning in the higher education for himself alone very not you create an attractive space of learning, the imperious need makes that a competent teacher that mediate evident out of the pedagogic activity.
Developing English interactive learning multimedia of listening and speaking for the tenth-grade students

This research aims to develop a computer-based interactive learning multimedia for the teaching of English Listening and Speaking for the tenth grade students in Pelabuhanratu. This study adapted the development model suggested by Sugiyono (2014), the steps are: (1) exploration (2) development of the prototype, (3) expert validation and revision, and (4) try-out and final revision. The findings indicate that the appropriate learning multimedia for the tenth grade students in Pelabuhanratu are the learning multimedia that: (1) gives students a lot of oral cycle practice, (2) generates low pressure learning, (3) promotes student-centred learning, (4) trains students to practice micro skills of listening and speaking and (5) provides Bahasa Indonesia translation in the learning instruction. This product is rated as “very good”. Experts scored the product 3.22 and 3.28, whereas users scored the product 3.61 and 3.79 for its content and appearance respectively. The results indicate that the developed product is considered “appropriate” for the teaching of English.
Separating the Signal from the Noise: Predicting the Correct Entities in Named-Entity Linking

In this study, I constructed a named-entity linking system that maps between contextual word embeddings and knowledge graph embeddings to predict correct entities. To establish a named-entity linki ...
STUDENTS’ VOCABULARY LEARNING STRATEGIESAT THE SECOND SEMESTER OF ENGLISH DEPARTMENT IN STKIP YPM BANGKO ACADEMIC YEAR 2019/2020

This study aims to determine how were the students’ vocabulary learningstrategies at the second semester of English department in STKIP YPM Bangko. It found that, the students lack of vocabulary but they still had their own strategies when learning vocabulary, namely by reading, writing, listening, and memorizing. The researcher was interested to conduct this research because the researcher wants to know what strategies that students used when mastering vocabulary. This research is a descriptive quantitative research. This research used method intended to describephenomena by numerical data that is reinforced with the source data. The research subject were 24 students at the second semester of English department. Data collection of this research using questionnaire, or rather closed-ended questionnaire. The researcher used online questionnaire and used the adopt questionnaire from Gu. The result showed that the students’ vocabulary learning strategies at the second semester of English department in STKIP YPM Bangko was in the high category with a percentage of 31.81%. Vocabulary learning strategies has two major strategies, namely metacognitive strategies and cognitive strategies. Metacognitive strategies that include beliefs about vocabulary learning and metacognitive regulation. And for cognitive strategies that include inferencing, using dictionary, taking notes, rehearsal, encoding, and activation. Based on the calculation results of all indicator vocabularylearning strategies, the indicator beliefs about vocabulary learning was the most vocabulary learning strategies that used by student with the percentage which is 54.54% and the most rarely was using dictionary, it only reaches 27.27%. This study was suggested that the lecturer would be better to understand that each students has their own strategy and it is better to know and use the right strategy while teaching
LibGuides: Faculty Guide: Finding Permanent Links to Articles in Gateway Databases: Permalinks in Databases

This guide will help Gateway instructors find the permanent links in various databases so they can easily share articles with their students.
Planned Behavior in Overcoming Cognitive Dissonance in Ritual Activities of Homecoming (Case Study of Homecoming Travelers Using Motorcycle)

Homecoming in Indonesia has become national traditions. One of transportation for homecoming is a motorcycle. Homecoming by motorcycle has many limitations and raises quite a high risk, as well as an appeal not to go home on a motorcycle from the government, but many still go home on a motorcycle. This study aims to find out what dissonances appear in the travelers who ride motorcycles, and how the travelers' behavioral, normative and control beliefs in dealing with this dissonance.&#x0D; This research uses qualitative case study methods and data collection techniques through in-depth interviews, with analysis using Theory of Cognitive Dissonance and The Theory of Planned Behavior. Research activities on homecoming are included in the single case category, which researchers carry out on homecoming activities during the Eid al-Fitr homecoming moment in 2019 instead of May-June 2019, with research 18 informants.&#x0D; The results showed that found cognitive dissonance conditions in the homecoming activities they live. This Dissonance is indicated from the finding that there is denial of one element which is then followed by or following other elements. This research also reveals the effort to eliminate dissonance using 3 (three) elements of The Theory of Planned Behavior, namely Behavioral belief, control belief, and normative belief, which are in line with the methods used by TCD in eliminating dissonance. This research also reveals elements of behavioral belief to overcome cognitive dissonance.
Does Organisational Climate Improve Quality Management Practice? Empirical Evidence from Egyptian Higher Education

This study investigated the influence of organizational climate on quality management practices in Egyptian public universities.The study used a quantitative research design method.The sample consists of 150 respondents selected through both stratified sampling and simple random sampling to get a real population representation and minimization of the sampling bias.The research used the questionnaire as an instrument that involved 23 items, distributed to four disciplines: staff freedom, resource adequacy, decision making participation, and quality management practice for data collection by the researcher.The instrument was validated by experts from the Department of Education, Utara Malaysia University, through the face and content validation.Data collected were analyzed using Structural Equation Modelling (SEM) which was employed for data analysis method through AMOS statistical software based on the parametric SEM in AMOS 22.0.Findings from the study revealed that resource adequacy has a significant and positive effect on quality management practices.Meanwhile, decision-making participation has no significant effect on quality management practices.Furthermore, the study indicates that male academic staffs have a significantly higher level of organizational climate than female academic staffs in the Egyptian Higher institution.It was recommended that the university management systems be developed and it is the climate in the light of quality management stander and giving academic staff a clear role in expressing their opinion as conducting discussion plans on decision making with the participation of all employees' levels at the university.
Study of Affecting Factors of Meteorological Parameters on Solar Radiation in Kathmandu Valley

Solar radiation data are great significance for solar energy systems. This study aimed to estimate monthly and seasonal average daily global solar radiation on a horizontal surface in Kathmandu (27.7oN, 85.5oE, 1350 masl), Nepal, by using CMP6 pyranometer in 2012. The influence of the global solar irradiation from different physical as well as meteorological parameters was analyzed. Besides this, the research highlighted that there is high level of fluctuation of the measured value of global solar irradiance due to local weather conditions. As a result of this measurement, the maximum, minimum monthly and yearly mean solar radiation values were (21.32 ± 4.14) MJ/m2/day in May,(10.93 ± 2.03) MJ/m2/day in January and (16.68 ± 4.60)MJ/m2/day found respectively. Annual average of clearness index, maximum temperature, minimum temperature, relative sunshine hour, air mass are 0.51 ± 0.12, (26.23 ± 4.96)oC, (12.38 ± 6.83)oC, 0.57 ± 0.165 and 1.54 ± 0.42 respectively. There is positive correlation of maximum temperature and negative correlation of air mass with global solar radiation.
A method to convert non-numeric characters into numerical values in dynamic time warping for string matching

Dynamic time warping (DTW) is one of the well-known algorithms for measuring similarity between two temporal sequences, and it can be used for character matching. It uses a distance of two character strings. However, since the characters are non-numeric, it must be assigned to numerical values to calculate a distance between two character strings. Therefore, in this paper, we propose a method to convert non-numeric characters into numerical values in dynamic time warping for string matching. The proposed method uses normalized correlation coefficient, and it makes DTW gives more accurate results. Experimental results show that the proposed method gives excellent results.
Monitoring of Photovoltaic Systems: A case study URERMS Adrar

The electrical energy generation via the Photovoltaic system is widely utilized in the world especially in the countries where it is characterized by considerable potential of solar energy. PV systems are affected by several factors that can reduce its efficiency such as PV generator aging, failures. Photovoltaic systems monitoring is a important task for guaranteeing the reliability and stability of PV system operation. This paper addresses the monitoring of PV systems in renewable energy research unit in the Saharan region (URERMS) Adrar, through to give an insigth about the methods of measuring, acquisition, data storage of monitored parameters. In addition, the existing problems for insuring the suitable solution.
MEDIAN AND KURTOSIS BASED BI-HISTOGRAM EQUALIZATION FOR IMAGE ENHANCEMENT

In the present paper, kurtosis and median based bi-histogram equalization algorithm has been suggested for contrast enhancement of images under poor light condition.Histogram clipping threshold value is computed through the kurtosis on an image histogram to control the over enhancement rate.After histogram clipping process, it is separated into two sections, through histogram subdivision limitation constraint founded on the median value of the histogram.Histogram of particular sub-image is equalized autonomously and then integrated into one output enhanced image.The output image is further processed for more improvements and transformed into HSV colour space to have the saturation value of the colour channel and some modification is done.The HSV image is converted back to RGB colour as a final enhanced image.The quantitative evaluation has shown that the proposed kurtosis and median based bi-histogram equalization algorithm produce a superior quality of image in comparison to the other image enhancement algorithm in terms of image quality metric FSIM.Therefore, proposed image enhancement algorithm warrants more investigation.
Incentivizing Truthfulness Through Audits in Strategic Classification

In many societal resource allocation domains, machine learning methods are increasingly used to either score or rank agents in order to decide which ones should receive either resources (e.g., homeless services) or scrutiny (e.g., child welfare investigations) from social services agencies. An agency's scoring function typically operates on a feature vector that contains a combination of self-reported features and information available to the agency about individuals or households. This can create incentives for agents to misrepresent their self-reported features in order to receive resources or avoid scrutiny, but agencies may be able to selectively audit agents to verify the veracity of their reports. We study the problem of optimal auditing of agents in such settings. When decisions are made using a threshold on an agent's score, the optimal audit policy has a surprisingly simple structure, uniformly auditing all agents who could benefit from lying. While this policy can, in general be hard to compute because of the difficulty of identifying the set of agents who could benefit from lying given a complete set of reported types, we also present sufficient conditions under which it is tractable. We show that the scarce resource setting is more difficult, and exhibit an approximately optimal audit policy in this case. In addition, we show that in either setting verifying whether it is possible to incentivize exact truthfulness is hard even to approximate. However, we also exhibit sufficient conditions for solving this problem optimally, and for obtaining good approximations.
Dialogical Communication in Psychological Support of Students’ Learning

The derivative function of dialogical communication in the psychological support of learning is intensification of activity, which is especially clearly manifested in group dialogue. Dialogical communication is presented from the standpoint of the methodology of communication, communication, relationships. These aspects of the study of dialogical communication presuppose productive and dynamic interpersonal interaction, mutual understanding and mutual knowledge. This approach is logically presented in the consideration of dialogical communication in the psychological support of learning. The correlation between increased effectiveness of dialogical communication in psychological support of learning and increased productivity of the activity, which is clearly traced in the polylogue, is revealed. Dialogical communication in psychological support of students’ learning can be presented as the unity of all participants of communication in achieving the goal, taking into account psychological factors of the dialogue and conditions of dialogization of relationships between the teacher and the student.
SOLVING N-QUEEN PROBLEM USING PROBABILITY COLLECTIVE

Many types of research solve N-Queen Problem by using various techniques as Genetic algorithm (GA), particle swarm optimisation (PSO), and simulating annealing (SA). This paper motivates and describes the use of probability collectives (PC) with coordination multi-agent system to solve the N-Queen Problem. The main challenge is to make the agents work in a coordinate a way, optimising the local utilities and contributing the maximum towards optimisation of the global objective.
Research Guides: Basic Library Search: Primo: Off Campus Access

Information and guides about how to effectively use our search service, Primo, to find resources at Moon.
Rancang Bangun Sistem Pengelolaan Laundry menggunakan Metode Waterfall

Laundry is one of the businesses engaged in laundry and clothes ironing services that are starting to develop. This laundry business provides kilogram washing services, including washing and drying services, dry cleaning and ironing, washing bed covers, washing thin blankets to thick blankets. Laundry management is done manually and simply so that mistakes often occur due to human errors in recording information and not a few missing records and quite a long recording time. Therefore, in the development of information technology today, one of the efforts to overcome this problem is to create a website-based laundry application. The purpose of this study is to build a website-based laundry application to facilitate businesses in the field of laundry, namely laundry using the programming language PHP, HTML, CSS, JavaScript, and MySQL database as data storage. The system is built in stages using the waterfall method which consists of the stages of analysis, design, implementation, and system testing. The result of this research is a website-based laundry application that can facilitate each employee's job in handling customers as well as customers getting convenience in transactions for using laundry services.Keywords:Information Systems, Laundry, Web, PHP, MySQL.
LibGuides: Library Resources for Katz PhDs: PittCat & Library Services

This guide is intended to be a central landing page for Katz School of Business PhD students.
Digital economy: between human brains and artificial intelligence

This chapter analyses the notion of AI, in particular in terms of an autonomy and consciousness of AI. It elaborates on whether intelligent machines may be considered autopoietic systems and what implications AI may have for the social relationships of people. It further analyses the theory of Adam Smith in order to show that the data economy has not brought any drastic economic changes that would beg for fundamental changes in the law. It then critically assesses the “free flow of data” initiative of the European Commission, particularly as regards three aspects: the lack of the analysis of economic incentives, an unclear distinction between personal and non-personal data and the lack of distinction between the processing of data in the public and in the private sectors, i.e. where economic incentives of the processing of data may be entirely different.
A Way to Identify Everything

If you’re interested in blockchains and cryptocurrencies, then you’ve probably heard of hashing (or hashes). The idea of hashing is crypto-bedrock—a crucial ingredient in blockchain infrastructure. In this chapter you’ll gain a working knowledge of hashing and why it’s so important.
Quality Improvement with Fault Tree Analysis &amp; Failure Mode Effect Analysis

Defect reduction is a constant challenge for quality improvement in any organisation. The research was a case study in a small firm performing chroming process for variety of plastic end-cups. The chroming process uses combination of paint spraying and metalising. To improve their quality assurance process, the study assisted in identifying major failure modes and their root causes using fault tree analysis. It was then continued with failure mode and effect analysis for quantifying risk priority for each failure modes. The results recommended the studied company to focus on failure mode 'uneven spraying', 'incorrect setting of paint output', 'incorrect setting of spray pressure', 'dusty production area', and 'dusty oven', and suggested some control improvements against them.