Reviewerly/exHarmony huggingface dataset:
Rancang Bangun Sistem Informasi Penjualan Pada PT. Picotel Nusantara Menggunakan Metode Waterfall

Repeater Sales Information System is a management information system that produces various information that can be useful to support sales activities at PT. Picotel Nusantara. The manifestation of the development of the Repeater's sales information system is the making of computer applications that are able to represent the whole designed information system. Produced sales information system applications are able to manage sales data, which includes sales transactions, cash receipt transactions, item data, data purchase orders, account data, and customer data in an organized manner, and produce complete, accurate and always current reports for each level of management . In writing this final assignment, the author uses the waterfall methodology, in this method there are several stages, namely the survey stage, the system design stage, the coding stage, the testing stage, the maintenance stage. From the method that I use, the authors build applications that can be used for the sales process, as well as promotions to customers, so that this application can be expected to be implemented by PT. Picotel Nusantara. The information system approach method used in this information system uses object-oriented methods (object oriented) which emphasize problem solving software based on objects. The system design uses Java and the database design uses MySql Server. The results of the design of sales information system applications show that the role of computer applications in information systems is very important as a support in improving the quality of sales and service activities in the company environment.
Jittered Exposures for Light Field Super-Resolution

Camera design involves tradeoffs between spatial, temporal, and angular resolution. Microlens-based light field cameras, for example, trade a fixed proportion of a sensor’s spatial resolution for angular resolution in order to enable refocusing, perspective change, and depth estimation. In this paper, we exploit stabilizing optics already included in many lenses to efficiently trade temporal resolution and regain some of the lost spatial resolution. Since temporal resolution loss is a function of both the image capture time and image processing, we emphasize our reduced algorithmic complexity compared to existing light field superresolution methods while still providing the same level of optical fidelity. We quantify performance with improved depth estimation and improved optical quality, measured on real images captured with a prototype 3D light field camera.
Building an annotated corpus for the Albanian language using bilingual projections and regular expressions

We present research done on creating an annotated corpus for the Albanian language. This corpus is achieved combining unsupervised part-of-speech tagging using bilingual projections with regular expressions. Albanian-English text from a free parallel corpus for the Balkan languages is used as a basis. The annotating process is based on the universal part-of-speech tag system. As the result of the projected tagging, we gained a tagged corpus in Albanian for 60,000 sentences. We investigate the main pitfalls in the output gained from the parallel projection and use this analysis to define replacement rules for part of our tagged corpus, which will change 18% of the initial text. We investigate the effectiveness of the tagged corpus using four different part-of-speech taggers, the best result of which is of 94% accuracy. We discuss further improvements to this corpus, which to our knowledge is the biggest annotated corpus in Albanian.
Building Single-Page Web Applications with REST and JSON

In Chapter 4 we talked about creating multi-page web applications via Java server faces (JSF). The central paradigm of JSF is the communication between the user (browser) and the server via forms, although using the <f:ajax> tag makes a more fine-grained communication possible because only the form part needs to be transmitted to the server.
Hand Model Estimation Considering Two Objectives Using EPD-Based Multi-objective Particle Swarm Optimisation

This chapter tackles the problem of hand posture estimation considering two objectives to minimise the computational cost and maximise accuracy (minimising error) simultaneously. This problem was formulated in Chap. 3 . A variety of experiments are conducted to prove the merits of multi-objective formulation and optimisation of this problem.
Study on Various Approaches used by Security as a Service Model in Cloud Computing

Cloud computing is the way of using remote servers placed on the Internet for storing, managing, and processing data, rather than using a local server or a personal computer.In cloud computing, security and privacy are the major issues.However, there are many challenges for securing the cloud from various attacks.The main responsibility of the Security as a Service model is to provide flexible security to its users to prevent these attacks.The approaches used by the Security as a Service model are SLA based approach via SPECS and Crypto Coprocessor approach for providing flexible security to its users.In this paper, we do a study on various approaches used by the Security as a Service model and to propose a system which provides maximum security to the cloud users.
Anomaly detection in code base

Any product when under development, goes through numerous changes before finally being released to the customer. While these changes are being done, it adds new features, modifies existing ones. How do we know if a product is in good shape to be released? Yes, we test the product, run the existing unit, functional, performance tests etc. What if the number of tests is in 10000s. How do we analyse each test result? Is there an automated way to detect the overall health of the product using the results of regression tests? Anomaly Detection using machine learning algorithms gives us a way to find out the overall health of the product. Using Anomaly Detection, we can quickly find out about the code base and if new changes should be allowed in before the existing code base is stabilized. It helps to determine, how far the existing code base is away from being released to the customer. It can help the code base to be almost always stable irrespective of the number of code changes that are merged into it.
Analysis of Low Bit Rate Audio Compression System using Linear Predictive Coding

Abstract The point of the task is to build up a framework for encoding great quality discourse at a low bit rate. To execute this, we have utilized the most dominant discourse investigation system called Linear Predictive Coding (LPC). It utilizes tenth request Levinson-Durbin Recursion calculation to achieve the errand. It gives amazingly exact evaluations of discourse parameters and is moderately effective for computation. The discourse flag of guys and females were coded. The tradeoffs between the bit rates, start to finish delay, discourse quality and multifaceted nature was broken down. The outcomes demonstrate that venture was effective in coding the discourse motion at moderately low piece rates with great quality. Keywords: Audio compression, bit rate, LPC, sub-band coding, waveform coding Cite this Article: B.Satish Chandra, T.Sheela. Analysis Of Low Bit Rate Audio Compression System Using Linear Predictive Coding. Current Trends in Signal Processing. 2019; 9(1): 1–6p.
THE RELATIONSHIP BETWEEN ORGANIZATIONAL CYNICISM AND JOB SATISFACTION: A RESEARCH ON BANK EMPLOYEES

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LibGuides: UG CamGuides: How do I find books and articles from a reading list?: Other types of resources

Break down a reading list into different types of resource and know how to recognise them from their reference.
Automation of collection and data analysis of user experience in interactive mobile prototypes usage

The paper describes the developed platform for data collection and data analysis of user experience in interactive prototypes usage. The platform allows to organise permanent and fast feedback between the target audience and interface designers. The system includes desktop and mobile applications, and the web-server for data analysis, information storage and connection between the client applications.
SISTEM PAKAR UNTUK MENGANALISA PENYAKIT TANAMAN PADI BERDASARKAN GEJALA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

Many cases of rice farmers have difficulty coping with various types of diseases due to lack of knowledge and rarely counseling about the types and characteristics of rice diseases and how to overcome them. and the disease can cause losses to rice farmers. To overcome the above problems, the need to build a system that acts as a tool for rice farmers to analyze diseases that attack rice plants. The system in question is an expert system. The method used is Forward Chaining. From the results of the study, this system of rice disease experts was able to analyze the disease of rice plants based on their symptoms as a substitute tool for an expert. But for the results of the diagnosis can not provide solutions or suggestions that are really appropriate in handling it.
Effect of Major Commitment on Major Satisfaction for Students in College of Engineering

본 연구는 강원지역 공학계열 대학생들을 대상으로 전공몰입도가 전공만족도에 미치는 영향을 알아보고자 하였다. 구조화된 설문지를 사용하여 350명의 공학계열 대학생들을 대상으로 전공몰입도와 전공만족도에 대한 자가 보고식 조사를 실시하였다. 공학계열 학생들의 전공만족도는 전반적으로 ‘중간 범위’ 로 학년에 따른 차이는 나타나지 않았다. 전공몰입도는 ‘중간 범위’ 또는 ‘낮음 범위’ 수준이었고 1학년에서 가장 낮았고 4학년에서 가장 높게 나타났다. 전공몰입도가 전공만족도에 영향을 미치는 것으로 나타났는데 전공몰입도 하위요인 중 전공자부심이 전공만족도에 가장 큰 영향을 주고 있었다. 전공몰입도의 하부 요인 중 흥미분야는 전공 만족도의 네 가지 하부 요인인 교과만족도, 전공학습만족도, 교수-학생만족도, 전공 자부심에 영향을 주고 있었고 목표집중은 전공학습만족도, 교수-학생만족도에 영향을 미치고 있었다. 진로확신은 전공만족도의 하부 요인에 어떠한 영향도 미치지 않고 있었다. 그러므로 흥미 분야는 전공 만족도에 영향을 주는 가장 주요한 요인으로 보인다. 따라서, 공학계열 학생들을 대상으로 전공만족도가 진로결정몰입도 정도를 향상시킬 방안이 필요하며 이때, 흥미분야를 활용한 방안을 강구하는 것이 필요한 것으로 보인다.The purpose of this study would like to investigate the effect of major commitment on the major satisfaction for students in college of engineering. Using the structured questionnaire we perform the self-report survey for 350 students. As a result, the degree of major satisfaction for students is found to be middle-range, and there was no difference according to grade. The degree of major commitment was middle-range or low-range , the lowest in the first grade and the highest in the fourth grade. The results showed that major commitment had an effect on major satisfaction. Major pride that among sub factors of major commitment had the greatest effect on major satisfaction. Among the sub factors of major involvement, the interest field was influenced on sub factors of satisfaction of subject, major learning satisfaction, professor-student satisfaction and pride of major and target concentration was influenced on satisfaction of subject. Confidence in career did not have any effect on the factors of satisfaction of major. There is a need to improve the degree of career decision commitment using the field of interest.
Graphical Password Authentication System for Mobile Application

Smart mobiles are essential devices in our life today. Various Applications on the device can be accessed with it. Moreover, if the mobile device is unlocked, it is also easy for sophisticated attackers to steal the owners sensitive information, such as identity, account and phone calls to overcome from this drawback we are giving security for android application using graphical password. In this paper we are representing graphical security to mobile applications by giving grid of images which are changing randomly at every login phase. Not only added the random graphic pattern authentication method indeed increase the personal secret information being stolen difficulty and complexity, it provides more security level than the traditional graphic pattern authentication in keypad lock screen as well.I.
Digital Document Sharing Securely Using Enhance QR Code

These days, technology has mostly influenced numerous systems that are used.Several organizations are creating efforts in developing a system for saving people's time, efforts and giving comfort.Organizations around the world are interested in delivering numerous services through the web.In the existing system, we submit documents for checking procedure for that we have to submit verified copies of original documents.This procedure involves large numbers of paperwork and makes not any use of technology.The proposed system aim is altering this current approach into a straightforward approach of document verification.AES for encoding the information, DSA to digitally sign the documents and Encoded QR-code for sharing the documents within the system.Therefore the user is going to be able to share the necessary documents to third-party organizations (school, college, hospital, etc.) simply by sharing associated encoded QR code.The third party will be able to verify the trustworthiness of documents with the utilization of digital signatures.
Course Setting and Folk Music Inheritance of Music Major in Colleges and Universities

Music majors in Colleges and universities play an irreplaceable role in cultivating excellent music talents and promoting the development of China's music industry. In the process of deepening the implementation of University reform, the education reform of music specialty in Colleges and universities is also in full swing, which brings new opportunities for students to develop, and also puts forward high requirements for teachers to optimize and adjust music specialty courses. The rationality and validity of music curriculum directly affect the education effect of music specialty and the training effect of music talents. Therefore, in order to carry out the reform of music education, we need to start with optimizing the professional curriculum, and pay attention to keeping pace with the times in the curriculum arrangement. It should not only insist on innovation, but also pay attention to the inheritance of folk music and art. We should combine inheritance with innovation, improve the establishment of music majors in Colleges and universities, and enhance the effectiveness of music education reform in Colleges and universities.
Cyclic codes of length <inline-formula><tex-math id="M1">\begin{document}$ 2p^n $\end{document}</tex-math></inline-formula> over finite chain rings

We use group algebra methods to study cyclic codes over finite chain rings and under some restrictive hypotheses, described in section 2, for codes of length $ 2p^n $, $ p $ a prime, we are able to compute the minimum weights of all possible cyclic codes of that length.
Using T –Chart Technique To Improve Students’ Reading Comprehension

This research aimed to describe the use of T –chart Technique to improve students’ reading comprehension. This Classroom Action Research was conducted at the first grade students of MA NW PUTRI NARMADA with 27 students where the all of students are female.  This research focus on the students reading comprehension. It consists of two cycles which is in the cycle consisting of planning, action, observation, reflecting. The data gathering used multiple choice and analyzed the data are using qualitative and quantitative approach, in the first cycle wasn’t improve students reading comprehension where the mean score of pre-test was 61 with the percentage 14% and the post-test was 69 with the percentage 33%, the result of the second cycles where the mean score of pre-test was 70 with the percentage 44% and the mean score of post-test was 86 with percentage 85%. The result of students’ achievement in cycles II with passing scores in the first were 33% (not good) and the second test were 85% (very good) indicated the target of 75 of the minimum criteria has been achieved. Based on the result of the study, it can be concluded that the use of T –chart technique to improve students’ reading comprehension at MA NW PUTRI NARMADA in academic year 2018/2019 are success
Modelling non-stationary functions with Gaussian processes

Gaussian processes (GP's) are a central piece of non-parametric Bayesian methods, which allow placing priors over functions in settings such as classification and regression. The prior is described using a kernel function that encodes a similarity between any two points in the input space, and thus defines the properties of functions that are modelled by the GP. In applying Gaussian processes the choice of the kernel is crucial, and the commonly used standard kernels often offer unsatisfactory performance due to making the assumption of stationarity. This thesis presents approaches in modelling non-stationarity from two different perspectives in Gaussian processes. First, this thesis presents a formulation of a non-stationary spectral mixture kernel for univariate outputs, focusing on modelling the non-stationarity in the input space. The construction is based on the spectral mixture (SM) kernel, which has been derived for stationary functions using the Fourier duality implied by Bochner's theorem. The work done in this thesis extends the SM kernel into the non-stationary case. This is achieved by two complementary approaches, based on replacing the constant frequency parameters by input-dependent functions. The first approach is based on modelling the latent functions describing the frequency surface as Gaussian processes. In the second approach the functions are directly modelled as a neural network, parameters of which are optimized with respect to the variational evidence lower bound (ELBO). Second, this thesis presents a kernel suitable for modelling non-stationary couplings between multiple output variables of interest in the context of multi-task or multi-output GP regression. The construction of the kernel is based on a Hadamard product of two kernels, which model the different aspects of dependencies between the outputs. The part of the kernel modelling the input-dependent couplings is based on a generalized Wishart process, which is a stochastic process on time-varying positive-definite matrices, in this case describing the changing dependencies between the outputs. The proposed Hadamard product kernel is applied in a latent factor model to enrich the latent variable prior distribution, that is, to model correlations within the latent variables explicitly. This results in the latent correlation Gaussian process model (LCGP). This thesis additionally considers novel, flexible models for classification of multi-view data, specifically one based on a mixture of group factor analyzers (GFA). The model has a close relationship to the LCGP that builds a classifier in the latent variable space, while the classifier in the GFA mixture is based on the mixture assignments. GFA also allows modelling dependencies between groups of variables, which is not done by the LCGP. Applying Gaussian processes and adapting the proposed multi-output kernel would make the multi-view model even more general. The methods introduced in this thesis now allow modelling non-stationary functions in Gaussian processes in a flexible…
YANG Data Model for Dynamic Flooding

This document defines YANG data models that can be used to configureand manage Dynamic Flooding for IS-IS and OSPF.
Guides: Borrow and Request Materials: Purchase Request

Borrowing UNCSA materials, lending policies, and billing; Purchase Requests and Interlibrary Loan.
Effectiveness of Mathematical Learning Devices Based on Verbal Linguistic Intelligence and Mathematical Logical Intelligence

2013 curriculum has mandated the importance of teachers and paying attention to aspects of diversity of students in learning, including intelligence. Based on the type of intelligence proposed by Gardner (2003), linguistic-verbal intelligence and mathematical logical intelligence are two intelligences that need to be considered by the teacher in mathematics learning, for example when the teacher prepares a mathematics learning tool. This study aimed to determine the effectiveness of mathematical learning tools based on linguistic-verbal intelligence and mathematical logical intelligence on material equations and linear inequalities. This study used the Plomp development model which consists of three phases, namely initial investigation, design, and assessment. The trial was carried out four times for students of class VII-8 in SMP Negeri 2 Banda Aceh. To determine the effectiveness of learning devices, criteria Kemp was applied, et al (1994). The results of the development showed that the mathematics learning tools based on linguistic-verbal intelligence and mathematical logical intelligence were effective. Because of that, this learning tool is worthy of being used by teachers in mathematics learning, especially in similarities material and linear inequalities.
Optimal Tumor Segmentation for Pet and CT Images using Neuro Fuzzy Contour let Transform Technique

Image fusion is the process of merging useful information from two or more images to a single image. The image fusion algorithm rooted in wavelet transform is proposed to improve the resolution of the images aim of diagnostic imaging is to evaluate the true extent of disease to best determine surgical and therapeutic options for lung cancer staging including the evaluation of the size, location and surrounding vascular. To enhance the spatial and spectral resolution from several low resolution images, image fusion based on Discrete Wavelet Transforms (DWT) is cast-off. Fuzzy C-means algorithm is used to segment target tumor from the fuse image (PET-CT) even from the noisy image. But it cannot accurately segment the tumor. So, in order to overcome this Contourlet transform and Convolutional Neural Network are integrated to exploit the classification capabilities of neural networks which can fuse the PET and CT image and more accurately extract the target tumor.
Rohrbach Library Home: OpenAthens: OpenAthens

This guide provides information about OpenAthens, the library's authentication system for electronic resources.
Knowledge Management Practices as an Antecedent for enabling Work Performance of Employees : Empirical Evidence from Pump and Motor Manufacturing Cluster in India

Organisations are continuously striving to improve the work performance of employees. The comprehensive literature review identified the importance of knowledge management practices including creation, acquisition, sharing, storage and use of knowledge. The aim of this study is to understand the relationship between knowledge management practices and work performance of employees. The study was conducted among 102 firms in the pump and motor manufacturing cluster. A 70-item questionnaire was administered among the middle level managers. The data was analysed using partial least squares. The results revealed that there is positive relationship among the five knowledge management practices except the knowledge that is created is not effectively stored in repositories. The results further found that knowledge management practices positively influence the work performance. This study posited strong evidence for academicians and practitioners that prevalence of knowledge management practices can be leveraged for the betterment of employees' performance.