Reviewerly/exHarmony huggingface dataset:
A Testbed for QoS-Based Data Analytic Service Selection in the Cloud

With the emergence of Big Data and Cloud Computing, more and more data analytic software services have become available through a Cloud platform. Compared to the traditional service selection problem, selecting this type of services has additional challenges, which requires new selection models being proposed. It is the purpose of this work to “create a testbed” to benefit the research community in this area so that different selection models with consideration of different performance-influencing factors such as algorithms implemented, datasets to be processed, hosting infrastructure, can be tested and compared. We created a cloud-based platform for publishing and invoking analytic services as well as monitoring service performance during invocation. We implemented various data mining algorithms from different packages as example analytic services and hosted them on different infrastructure services. We also ran these services on some real datasets to collect a sample dataset of their Quality of Service (QoS) values.
Makespan Map Reduce Architecture for Efficient Memory Utilization

Makespan is referred to the total execution time taken to process the tasks or the jobs to the completion time.The High performance infrastructure in cloud computing provides extensive applications. These applications are preferred in Big Data. The existing Hadoop Map Reduce network incurs the input output memory overhead. The parallel Map Reduce network provides a parallel scheme to reduce makespan times in computing environments. The outcome provides improvement in the coefficient correlation and makespan time. The various challenges in computing dataset is handling large dataset efficiently and providing large amount of datasets with ease. The comprehensive method is to enhance data analyzation techniques. Massive large amount of data which are spread across the large number of machines needs to be parallelized.
Formation of Functional Competencies of University Students

The universal technology of work with the formation of functional competencies of future professionals is described. The authors proposed methodology for the formation of functional competencies of university students, which consists of Functional card and Integrative model (model for improving the quality of education: block "management of the development of competencies of specialists in the system of continuing education"; block "certification and accreditation of specialists on the basis of the Institute of Postgraduate Education as a quality management center for continuing professional education"; block “Integration of the scientific potential of the university and the practical base as a factor in improving the training of specialists”) is due to the principles of consistency and constructive integrity. For clarity, the authors presented examples of two functional maps: consolidated group and summary functional card compared to the reference.
PENGARUH PERILAKU GURU DAN MOTIVASI BELAJAR SISWA TERHADAP NILAI MATA PELAJARAN EKONOMI SISWA KELAS XI IPS SMA MURNI DI PADANG TAHUN AJARAN 2018/2019

Abstract: This study aims to determine the Effect of Teacher Behavior on Learning Motivation, Effects of Learning Motivation on the Values of Economic Subjects of Social Sciences Class XI in Padang Pure High School and the Effect of Economic Subject Values in Class XI IPS in Padang Pure High School on Teacher Behavior. The population in this study were the eleventh grade students of SMA Murni Padang Academic Year 2018/2019 totaling 19 students. Data collection with questionnaires or questionnaires. The trial of the research instrument with validity test and reliability test was carried out on 19 students in Pure Padang High School. The data analysis technique used was using the SPSS program ver. 22.0. The results of this study are: First, there is a positive and significant influence of Teacher Behavior on Learning Motivation of Social Sciences Class XI Students in Padang Pure High School Academic Year 2018/2019, meaning that the better the Teacher's Behavior in learning process will increase students' motivation. Secondly there is a positive and significant influence of Teacher Behavior on Economic Subject Values of Social Sciences Class XI Students at Murni Padang High School Academic Year 2018/2019, it can be interpreted that the better the Teacher's Behavior in the learning process will increase Economic Subject Value of Class XI IPS in Pure High School Padang. Third, there is a positive and significant influence of Student Learning Motivation on the Eye Value of Economic Pelajran Students in Social Sciences Class XI in Padang Pure High School Academic Year 2018/2019 which shows that the higher students' learning motivation will also increase the results of economic class XI IPS in Pure High School Padang Academic Year 2018/2019.Keywords: Teacher Behavior, Learning Motivation and Economic Subject Value
Wavelet Transform Based Estimation of 1 Dimensional Signal

The key idea of this manuscript is denoising of noisy biological signals. For this wavelet thresholding technique is suggested. To eliminate the noise existing in the signal, mixed thresholding function is considered which is the median of Hard, Soft and Garrote functions. The mixed thresholding function is applied by degraded white gaussian noise Electrocardiogram signal. Two methods that are used to calculate the threshold value is FDR technique and Visu shrink technique. The outcomes of mixed functions are compared with remaining functions using Signal to Noise Ratio (SNR) and Mean Square Error (MSE). It is obvious that the mixed function performs superior than remaining functions using Visu shrink technique and performs better than only Hard function using FDR technique.
CUSTOMER COMPLAINT RESPONSE STRATEGY IN SERVICE FAILURE: STUDY OF ONLINE SHOPPER IN INDONESIA

&lt;em&gt;The shifting pattern of shopping habit into a digital nowadays perceived by the business players as the trigger of the growth in e-commerce and e-marketplace. Indonesia is currently one of the largest markets in Southeast Asia for online shopping. On the other hand, it is inevitable that there are still many obstacles and problems that defer the optimized growth of e-marketplace in Indonesia. There are customer concerns about issues that may arise when they do online shopping. Service failures that often arise eventually encourage customers to complain. Failure in service that lead to the emergence of various complaints from customers is an inevitable thing. Each company must prepare an optimal strategy to manage those complaints. The objective of this research is to find out whether there is a difference effect of service failure explanation in the form of excuse, justification, reference and apology on customer satisfaction and repurchase, in the high level of problem condition compared to the low level of problem condition, for the case of online shopper e-marketplace in Indonesia. Furthermore, this research is conducted with the purpose to build the best strategy of giving response using service failure explanation (i.e. excuse, justification, reference and apology). Researchers use a scenario-based experiment as the method and then all the data were analysed using T-test and ANOVA. Total 325 respondents of online shoppers in Indonesia were collected, and the results revealed that apology and justification are the best choices for responding customers’ complaints.&lt;/em&gt;
Mobile Based Multi-Factor Authentication Algorithm for Secure Online Transaction

In today’s world, online payment system is one of the essential requirements of people. Security in online transactions is still a major challenge for the researchers. This work is emphasizing on providing highly secure environment for online transactions to user. One time password is one of the mechanisms to reduce online fraud, still many cases of fake transactions are happening frequently. It requires more attention to establish the faith in E-banking services. The present research article is proposing a multi-factor based secure algorithm which enhances the security for the online transaction services. To increase the authenticity, the proposed algorithm is working on two strategies: a) One Time Password Based Authentication and b) Dedicated Hardware Based Authentication.
Implementation of Pipeline Integrity Management in a Large Pipelines Network in India

Hydrocarbon pipelines are one of the key elements of the energy security system of a country, especially in a large country like India hydrocarbon pipelines are the backbone of the energy distribution system. While the operational reliability of such a system is important to ensure a sustained supply of hydrocarbon energy across the country, the continued structural integrity of the network is vital for public safety. Generally, pipelines are the safest mode of transportation of bulk hydrocarbon energy, but pipeline failure is not uncommon. Recent global databases on pipeline failure indicate that third party damage and corrosion are two major causes of pipeline failure though there are other reasons like poor construction quality; an incorrect operation etc., may also lead to pipeline failure. The extent of damage that a pipeline failure can cause depends on the extent of the release, for example, a small leak may not cause much damage if detected with a short period, while a rupture of the pipeline can release a significant amount of pipeline content and may cause significant damage to property and life. With a higher degree of public awareness and stricter regulatory regime, pipeline operators are having a relook into their integrity management system to prevent any untoward incident. Majority of the pipeline operator now realize that holistic approach taking together as much factor as possible could be a better approach to manage the integrity of the pipeline network especially a large network of pipeline spread across a vast country like India. This realization has led many pipeline operators to implement computer-based pipeline integrity management system. While this is a welcome change but implementation of PIMS across a vast network of pipeline built over a long period, with various technologies and having diverse engineering requirements have come of the challenges that the pipeline operator must overcome. This paper discusses one such case of implementation of the Pipeline Integrity Management System (PIMS) in a large and diverse network pipeline in India and the challenges faced in the course of implementation. Authors feel that the case could be a good learning ground for those operators who are contemplating implementation of PIMS in their respective pipeline network.
Rancang Bangun Sistem Inventory Gudang Menggunakan Metode Waterfall Studi Kasus Di Cv. Aqualux Duspha Abadi Kudus Jawa Tengah

Information technology is increasingly advanced and continues to develop rapidly with the times. Information technology covers almost all areas of life, including industry. CV. Aqualux Duspha Abadi is a water treatment &amp; water purifier company based in Kudus, Central Java. This research was conducted to build an Inventory System application that aims to overcome several existing problems. The problems that occurred with the previous inventory system were monitoring the entry and exit of goods as well as the discrepancy between the number of goods and the data. This research uses the waterfall development method, this method has very sequential steps so that the development of a system will be more structured. In this study, researchers tested the functionality of the system using black-box testing, and to test the level of satisfaction of users, researchers used the user acceptance test (UAT). The result of this research is an android based inventory system application. Data from black-box testing is 100% valid and UAT test data shows a satisfaction rate above 90%.Keywords: Inventory System, Android, Waterfall, Black Box Testing, User Acceptance Test (UAT)
Resource allocation for multimedia services over cloud computing

Cloud-based multimedia application has emerged as a popular service, delivering on demand media computing and storage to millions of users. Though widely deployed, the quality of service (QoS) in current cloud-based multimedia service is not satisfying, due to the varying user demands and strict response time requirements. This thesis investigates resource allocation approaches to improve QoS for cloud-based multimedia services. A service model is desired to quantify the user demands and resource allocation. To meet this need, we propose a queueing model to characterize the cloud service process, based on which we investigate the response time minimization problem and the resource cost minimization problem in single-service scenario, multi-service scenario, and priority service scenario, respectively. Dynamic workload causes the unbalanced resource utilization and local congestion in multimedia cloud. To address this issue, we propose a two-time-scale resource configuration (TRC) scheme to dynamically allocate virtual machines (VMs) to adapt to varying workload. Based on the TRC scheme, we solve the optimal VM configuration problems to minimize the resource cost or minimize the average response time for the single-site cloud scenario and the multi-site cloud scenario, respectively. We propose optimal workload scheduling schemes at user level and task level, respectively. At user level, we optimize the workload assignment to minimize the response time or minimize the resource cost. At task level, we introduce a directed acyclic graph to model the precedence constraints among tasks, and then solve the execution time minimization problems for sequential structure, parallel structure, and mixed structure, respectively. Cloud gaming is an emerging interactive multimedia service. However, current cloud gaming suffers from a high bandwidth consumption and a large response delay. We propose a hybrid streaming framework to provide a high quality cloud gaming experience. We solve the delay-rate-distortion (d-R-D) optimization problem to minimize the overall distortion under the bandwidth and response delay constraints.
An Adaptive Methodology for Integrity Checking in Cloud Storage

Majority of the organization uses cloud for storage purpose in order to reduce the cost as well as maintenance. Due to increasing threat from internal and external sources, there would be possibility of corruption in the cloud storage files. Thus the storage must to be monitored periodically for integrity checking. Since most of the Data Owners have limited resources thus the responsibility of integrity checking goes to the Third Party Auditors (TPA). Usually the static way of deciding to use particular hash tree methodology to store the cloud storage meta-data, which is mainly used for integrity checking throughout is inappropriate for two main reasons, firstly, due to more fluctuated loss or corrupted cloud data, secondly, based on the variations in the number of files in the cloud users’ directory; Initially the static approach would be good but it may not be optimal solution at the later period. therefore, in this paper, we have proposed Adaptive Integrity Checking method (AIC), which would lead a way for adaptive dynamic hash tree methodology for holding the cloud storage meta-data; which would drastically increases the performance of integrity checking in terms of both time and space complexity besides the benefits obtained in the EDHT-n version and HEDHT methodologies of handling the cloud storage integrity checking.
TEKNIK POLLING DI RECOMMENDER SYSTEM COLLABORATIVE FILTERING UNTUK PEMBELAJARAN DARING

Currently, the Recommender System (RS) is a method that is widely used to help sort out information, which is currently very large. Without a Recommender System it will be very difficult to sort out the information one by one as needed. Sorting information in a RS is not the same as searching for information, as we do a search for files on storage media by simply writing a few keywords to find the files needed. RS sorting is by looking at the magnitude of a value obtained from drawing conclusions after analyzing the available data, either the user data itself or other user data. Information separation in online learning is also very much needed. Because online learning will be more effective if learners can be provided with the right material. Online learning that is currently available generally provides learning material content such as textbooks in hardcopy-like form. In this study, the online learning system was added with RS technology in order to help students choose the material that the user or students should study so that they can achieve the expected learning objectives. The method in the Recommender System that is widely researched in online learning is Collaborative Filtering. RS with collaborative filtering in order to provide accurate recommendations requires large amounts of data. Big data raises a problem, namely the spread of data occurs in many locations so that it requires complex computation in providing recommendations. To overcome the computational complexity, this paper will discuss the polling technique as a novelty in this study. The research shows that there is an increase in recommendation precision by 20%, when compared to data without polling.&#x0D; Keywords: Recommender System, Collaborative Filtering, Polling
Impact of World Bank Financial Support on Nigeria’s Human Development

This study empirically examines the impact of World Bank financial support on Nigeria’s human development over the period 1990-2018 with time series data sourced from World Bank Outlook 2018. The TY augmented causal test was adopted. The results show that World Bank financial support to agriculture and World Bank financial support to industry in the model jointly have unidirectional causal effect on economic development proxy by human development index, and therefore, that the World Bank financial support has significantly led to economic development in Nigeria. Also, the World Bank finance on Agriculture has a significant effect on economic development in Nigeria and its financial aid to the service sector has no significant causal relationship with human development in Nigeria. By implication, the impact of this assistance on human development and by extension the welfare of Nigerians has not yielded the expected result of achieving human development. Majority of these funds are diverted for personal and political purposes order than the purpose for which the grants, aid or credit are given. This study recommends that World Bank financial support as a source of foreign aid should not be done in isolation if it must impact on the performance of agricultural and service sectors of the economy. Therefore it becomes absolutely necessary to improve rapidly on domestic investment and human capital skill.
FAIR Principles for Digital Repositories: Essence and Applications for Heritage Objects

The emergence of the FAIR initiative in 2016 is based on the need for good management of disparate data, and improving the functionality of digital repositories and e-infrastructures. The aim is to promote the re-use of (scientific) data, a need recognized by academia, industry, funding agencies and memory institutions. This paper discusses the nature of the FAIR principles, its` technologies, the concept of FAIR digital object, FAIR ecosystem and persistent identifiers, a possible solution to the images-publication in scientific publications and in museum digital repositories through the International Image Interoperability Framework (IIIF), and all these through the focus of possible digital vision of the Bulgarian memory institutions. Keywords: FAIR principles, heritage, Persistent Identifiers, LOD
Integarted Minimum Cost Sub-Block Matching Distance based Face Recognition using Internet of Things

Abstract: Now a days one of the critical factors that affects the recognition performance of any face recognition system is partial occlusion. The paper addresses face recognition in the presence of sunglasses and scarf occlusion. The face recognition approach that we proposed, detects the face region that is not occluded and then uses this region to obtain the face recognition. To segment the occluded and non-occluded parts, adaptive Fuzzy C-Means Clustering is used and for recognition Minimum Cost Sub-Block Matching Distance(MCSBMD) are used. The input face image is divided in to number of sub blocks and each block is checked if occlusion present or not and only from non-occluded blocks MWLBP features are extracted and are used for classification. Experiment results shows our method is giving promising results when compared to the other conventional techniques.
Recognizing Human Emotional State from Audiovisual Signals

In this work, we investigate the recognition of human emotional states from audiovisual signals. We extract prosodic, Mel-frequency Cepstral Coeffieient (MFCC), and formant frequency features to represent the audio characteristic of the emotional speech. A face detection scheme based on HSV color model is used to detect the face from the background. The facial expressions are represented by Gabor wavelet features. We perform feature selection by using the stepwise method based on Mahalanobis distance. The selected features are used to classify the emotional data into their corresponding classes. Different classification algorithms including Gaussian Mixture Model (GMM), K-nearest neighbours(K-NN), Neural Network (NN), and Fisher's Linear Discriminant Analysis (FLDA) are compared in this study. An adaptive multi-classifier scheme involving the analysis of individual class and combinations of different classes is proposed. Our recognition system is tested over a language independent database. The proposed FLDA-based multi-classifier scheme achieves the best overall and individual class recognition accuracy.
Multimedia Interaktif: Media Belajar untuk Membuat Paspor RI melalui Simulasi

APM is an Innovation in 2017 implemented at the Immigration class II Tanjung Balai Karimun Office in making an Indonesian passport. People complain about the new system. Generally, there is a lot of files that need to be prepared and confused to run the procedure. the development of technology can answer these complaints through various media. One of the media that can be used is Interactive Multimedia. Through this media, people can be guided in preparing files and carrying procedures under the activities carried out at the immigration office. therefore, the model is applied in the form of simulation.This research applies the ADDIE model so that the implementation started with a needs analysis, system design based on needs, media development, implementation and evaluation of the applied media. the results of the study are: (1)The results of the needs analysis regarding information on submitting an application for an Indonesian passport there are 69.87% of applicants not yet aware of the passport application procedures through the APM application; (2)Interactive multimedia about the Indonesian passport application simulation using the APM application produced as one of the information media for the community by applying the ADDIE model packaged in format (SWF) and (exe), applying the navigation button feature for user interactivity, content format in the form of text, images, and 2D animation video’s; (3)Formative and summative evaluation results enable interactive multimedia as a learning medium to assist the community in completing files and applying for an Indonesian passport in accordance with actual implementation at the immigration office.