Reviewerly/exHarmony huggingface dataset:
IPOC: an efficient approach for dynamic association rule generation using incremental data with updating supports

According to recent statistics, there was drastic growth in online business sector where more number of customers intends to purchase items. Due to these retailers accumulates huge volumes of data from day to day operations and engrossed in analyzing the data to watch the behavior of customers at items which strengthen the business promotions and catalog management. It reveals the customer interestingness and frequent items from large data. To carry out this there was known algorithms present which deals with static and dynamic data. Some of them are lag time and memory consuming and involves unnecessary process. This paper intents to implement an efficient incremental pre ordered coded tree (IPOC) generation for data updates and applies frequent item set generation algorithm on the tree. While incremental generation of tree, new data items will link to previous nodes in tree by increasing its support count. This removes the lagging issues in existing algorithms and does not need to mine from scratch and also reduces the time, memory consumption by the use of nodeset data structure. The results of proposed method was observed and analyzed with existing methods. The anticipated method shows improved results by means of generated items, time and memory.
Effect of Foreign Aids on Economic Growth in Nigeria

This study investigated the impact of foreign aids on economic growth in Nigeria using time series data spanned from 1990 to 2017. The research considered the secondary data that were gathered from CBN statistical bulletin 2017 and World Bank Data Indictors. Ordinary Least Square techniques was adopted in the study and used Augmented Dickey-Fuller Unit Root Test, co integration test, granger causality test, ECM to estimates data employed. The findings revealed that all the variables employed were stationary at first difference and integrated at the same order1(I), the co-integration test shows that variables are co-integrated at one co-integrating equation which means that there is a long run relationship. The Error Correction Model established that the error that caused disequilibrium in the short run is being corrected in the long-run at a speed of adjustment at 6%. The findings revealed real gross domestic product responds inversely to changes in official development assistance and foreign direct investment. Based on these findings the study concluded that foreign aids have a significant impact on economic growth in Nigeria. Different diagnostic tests are applied in order to confirm the major assumption of multiple regression analysis like multicollinearity, heteroskedasticity and autocorrelation. Therefore, the study recommends among others that government needs to formulate strong and effective education and healthcare policies to facilitate and attract investment in the sectors and improve their efficiency in the long-run that will influence productivity.
Content-based retrieval system for surgery videos

There has been tremendous growth of laparoscopic surgical video archives in the past few years. Finding the surgical videos manually from the database is very troublesome and time consuming. As a consequence, efficient methods for retrieval of such videos from a database are needed. In this paper, a content-based video retrieval (CBVR) system is presented using average intensity, colour and shape feature. In the proposed retrieval system, average intensity, colour and shape feature are used. The ordinal measure introduced by Bhat and Nayar, which is based on ranks rather than of their values is used in this work. This is important in the laparoscopic videos because adjacent frames can be distinguished on the basis of ranking of their average intensities. Experimental results reveal that mean average precision of the proposed technique is better than the existing motion intensity and direction descriptor (MIDD) approach. This reflects the effectiveness of proposed method.
High Capacity Reversible Data Hiding Technique Framed for Experimentation with PSO

In this paper we have studied the reversible data hiding techniques. We have seen previous techniques and also carefully analyzed the high capacity reversible data hiding method in MSB. We have proposed a model with particle swarm optimization which will work in future with HCRDH to ensure improvement in several parameters like precision and PSNR. We want to contribute towards a proposed method before actual experimentation and results are worked for.
Signal processing techniques for multimedia information security

The digital representation of multimedia and the Internet allows for the unauthorized duplication, transmission, and wide distribution of copyrighted multimedia content in an effortless manner. Content providers are faced with the challenge of how to protect their electronic content. Fingerprinting and watermarking are two techniques that help identify content that are copied and distributed illegally. This thesis presents a novel algorithm for each of these two content protection techniques. In fingerprinting, a novel algorithm that model fingerprint using Gaussian mixtures is developed for both audio and video signals. Simulation studies are used to evaluate the effectiveness of the algorithm in generating fingerprints that show high discrimination among different fingerprints and at the same time invariant to different distortions of the same fingerprint. In the proposed watermarking scheme, linear chirps are used as watermark messages. The watermark is embedded and detected by spread-spectrum watermarking. At the receiver, a post processing tool represents the retrieved watermark in a time-frequency distribution and uses a line detection algorithm to detect the watermark. The robustness of the watermark is demonstrated by extracting the watermark after different image processing operations performed using a third party evaluation tool called checkmark.
An interdisciplinary approach to evaluating the effectiveness of postgraduate education (MBA)

This article is devoted to the problems of additional professional education in Russia. The results of an exploratory research are presented, the purpose of which was to identify subjective and objective learning factors associated with the development of business careers of graduates of MBA programs. The role of subjective (usefulness of knowledge, business connections) and objective (academic performance) learning factors in the development of a business career is evaluated. The obtained data confirm the validity of using the intelligent career model to analyse the features of the professional actualization of graduates after graduation. The importance of subjective criteria for evaluating the usefulness of the acquired knowledge for both objective (change in income, status) and subjective (satisfaction with the ratio of resource and result) career success is noted. It is shown that academic performance is not related to objective criteria of business career development. It is revealed that the form of employment (entrepreneur or corporate employee) is associated with subjective attitude to knowledge assets and with career development after obtaining an MBA degree.
Evaluation of Risk Factor for Cancer Insurance using R Analytics

Some faulty genes causing cancer disease are inherited and some are caused by lifestyle factors.This research focuses on the implication of utilizing a family history information as a risk factor in estimating cancer incidence rate and the cost of insurance.The Maximum Likelihood Estimator (MLE) approach is applied to estimate the cancer incidence rates, while the transition probabilities correspond to each event under the insurance coverage are estimated using a continuous Markov Model.This study emphasizes on the application of R Analytics in assessing the risk factor and the graduation procedure of the estimated incidence rates.Our results show that the insurance cost for people with family history of cancer is significantly higher in comparison to those without family history of the disease especially for females.Overall, the cost of cancer insurance for both gender categories increases as age increases.
Sentiment Analyze for Shura Council Members

Nowadays the flow of information through social media increase rapidly because the publish information never has easier than now using different types of platforms that are easily obtainable. This process make challenge to whom concern of the content shared in the social media. Also the massive amount of these information let the job of data scientist more difficult to analyze, filters and diagnose of the data and bring meaningful results. In this paper we covered the process of the whole stages of the ability to gathering, sorted and analyze data from social media and methods till now available and purposed the new method collecting is to find out the efficacy of Shura Members and how the use Social media to represent their thoughts and connect to citizens. The aims of this research is to make easy to use gathering information and use it in different way for any organization.
End-to-end QoS computation for vertical service composition in the cloud

Cloud services are designed to provide users with different computing models such as software-as-a-Services (SaaS), Infrastructure-as-a-Service (IaaS), Data-as-a-Service (DaaS), and other IT related services (denoted as XaaS). Easy, scalable and on-demand cloud services are offered by cloud providers to users. With the prevalence of different types of cloud services, the task of selecting the best cloud service solution has become more and more challenging. Cloud service solutions are offered through a collaboration of different cloud services at different cloud layers. This type of collaborations is denoted as vertical service composition. Quality of Service (QoS) properties are used as differentiating factors for selecting the best services among functionally equivalent services. In this thesis, we introduce a new service selection framework for the cloud which vertically matches services offered by different cloud providers based on users’ end-to-end QoS requirements. Functional requirements can be satisfied by the required cloud service (software service, platform service, etc) alone. However, users’ QoS requirements must be satisfied using all involved cloud services in a service composition. Therefore, in order to select the best cloud service compositions for users, QoS values of these compositions must be end-to-end. To tackle the problem of computing unknown end-to-end QoS values of vertical cloud service compositions for target users (for whom these values are computed), we propose two strategies: QoS mapping and aggregation and QoS prediction. The former deals with new cloud service compositions with no prior history. Using this strategy, we can map users’ QoS requirements onto different cloud layers and then we aggregate QoS values guaranteed by cloud providers to estimate end-to-end QoS values. The latter deals with cloud service compositions for which QoS data have been recorded in an active system. Using the QoS prediction strategy, we utilize historical QoS data of previously invoked service compositions and other service and user information to predict end-to-end QoS values. The presented experimental results demonstrate the importance of considering vertically composed cloud services when computing end-to-end QoS values as opposed to traditional prediction approaches. Our QoS prediction approach outperforms other prediction approaches in terms of the prediction accuracy by at least 20%.
Desain Augmented Reality Unit Rekam Medis di Rumah Sakit Citra Husada Jember

Hospital is a health-care institution that provides in-country, alternative health care, and emergency care. Good service must be sustained by sufficient means and infrastructure for each unit including a medical record. Medical records unit are still not up to standard resulting in disruption of employeeâ€™s effectiveness. A narrow room and files that stack up on the floor, filling room that's stuffy and narrow and filling that lack nighttime exposure becomes a constrained in the medical record unit. This research was aimed to redesign room of medical records in Hospital of Citra Husada Jember that according to the guidelines. The method is qualitative research with data collection technique observation, interview and brainwriting. The result of this research is redesign room of medical records based of the guidelines to realized ideal facilities and infrastructure for comfort the worked. Also manufactured augmented reality that useful for helped user to simulated room design previously form 2 dimensions pictures to 3 dimensions pictures. The improvement is a design which matches the anthropometrics units to the working facilities and menu programmed on augmented reality application.
TATA KELOLA PAMERAN BERBASIS PROJECT LEARNING PROGRAM STUDI DESAIN KOMUNIKASI VISUAL UNIVERSITAS DIAN NUSWANTORO

Cultivating exhibitions for visual communication design students is to increase the drive to create and enhance the spirit of student appreciation for the work of students to achieve quality and character in the work. The research objective is to know and understand the governance of project learning-based exhibits to improve the quality of learning and build a climate of appreciation for artwork among Udinus visual communication design students. The research method uses qualitative methods which are more emphasized on observation, interviews, documentation. Through the implementation of project learning-based exhibition governance, learning outcomes in improving quality can be achieved.Key Words: Exhibition, Management, Project Learning
Recommender system on social networking site with domain specific and sparse data

In many recent domain-specific social networking sites, posts are organized in chronological order, where later posts are shown first at the top, even though they might not be of everyone's interest. As a result, if users want to read posts that interest them, they will have to scroll down and sift through all the posts. To overcome this information overload problem and relieve users' burden, a recommender system is needed in social networking sites. In this thesis we propose a hybrid approach of Recommender System (RS) that combines both Collaborative Filtering and Content-based approach. Although each approach has their own weaknesses independently, by joining them together we can improve the accuracy of our recommendations. From our experiments, we noticed that using learning to rank algorithms in combining each recommender algorithm greatly enhances the system's performance.
Applying Possessive Pronoun in Writing Sentences: Exploring Students’ Ability and Problems in a Mixed Method Study

The purpose of this research was to find out the students' ability in applying Possessive pronoun in writing sentences and the problems encounter it. This mixed method study employs an explanatory design to reveals it. 53 students out of 105 students from1st semester EFL students from one reputable University in Pekanbaru, Indonesia, were invited to this study. These 53 students were selected using simple random sampling and enrolled for an essay test and interview to see the students' ability and explaining the problems. The data analysis using SPSS showed that the average score of students was 52.98. Meanwhile for the median is 48, the mode is 20. The score of Standard Deviation is 27.93, Variance is 780.25, and Range is 84. Z-Score was found 41.5%, which is means higher than average and 58.5% while, students' ability was indicated below the average. It showed that the students were low ability in applying possessive pronoun in writing sentences. The study also found the common problems, i.e., (1) students still mixed up between possessive pronoun and possessive adjectives. (2) students used the wrong pattern in using a possessive pronoun. (3) students did not understand clearly about a possessive pronoun, (4) experiencing difficulties in learning possessive pronoun.
The use of parallel computing for the high-resolution determination of earthquake source parameters

Alongside the determination of the focal mechanism and source depth of an earthquake by direct examination of their probable values on a grid in the parameter space, also the resolution of these determinations can be estimated. However, this approach requires considerable time in the case of a detailed search. A special case of a shallow earthquake whose one nodal plane is subhorizontal is an example of the sources that require the use of a detailed grid. For studying these events based on the records of the long-period surface waves, the grids with high degree of detail in the angles of the focal mechanism are required. We discuss the application of the methods of parallel computing for speeding up the calculations of earthquake parameters and present the results of studying the strongest aftershock of the Tohoku, Japan, earthquake by this approach.
PERANCANGAN SISTEM INFORMASI IZIN CUTI KARYAWAN DENGAN MENGGUNAKAN FRAMEWORK Service Oriented Architecture (SOA)

&#x0D; Niaga Nusa Abadi is a subsidiary of PT. Nojorono Tobacco International which has a parent in Kudus. The company, which has been operating for more than 80 years, is a distribution company of PT NTI and operates in supplying product needs to areas with 50 branches spread throughout Indonesia. The company has always been to build client trust by providing distribution services that are supported by a quality management system and reliable HR. The well-known products it distributes are Class Mild, Djinggo Minak, Aroma, Nikki Super, Niko International, Jazy Mild, Marathon and so on. Even though this company has been said to be large, but in the process of requesting leave employees still use a manual process that is able to hinder the process of requesting leave for employees.&#x0D; &#x0D; Implementation of "Employee Leave Permit Information System Design Using PHP Web-Based Service Oriented Architecture (SOA) Model" is one of the best solutions for planning corporate strategy and using supportive technology in the process of requesting employee leave. This information system is web-based to present information on employee leave request data processing using the Service Oriented Architecture (SOA) method and PHP and MySQL programming. The purpose of this system is to design, manage, implement employee leave requests at the company. The implementation of this information system is intended to make the employee leave application process more effective and efficient. This information system can be accessed using a browser device.
Faster R-CNN Network Based on Multi Feature Fusion for Efficient Face Detection

The putting into effect of deep learning gave all attention on deep convolutionary neural networks has gained great condition of having general approval in face discovery in near in time years. One of the still in the same way open tasks however is to make out small-scale points. The distance down of the convolutionary network can cause a quick becoming-smaller of the sent out point map for small faces, and most scale unchanging views can hardly grip less than 15x15 bit of picture faces. There are few types of Haar-like rectangle points, which send in to the hard question that the training time for the classifier is too long because of, in relation to the greatly sized number of point amounts needed to put in order the small faces. In order to get answer to this hard question, we offer the MBLBP (Multi-scale Local based on good example) features and joined rotation-invariant LBP (nearby based on good example) features based on the quicker R-CNN classifier called convolutional neural network (put) in middle in the gave greater value to quicker field, range (EFR-CNN). Despite the shortcomings of MB-LBP point and rotation-invariant LBP point on face edge knowledge, the canny operator-based edge azimuth field purpose, use is grouped together with the above features to make statement of the sense of words of the face news given. In place, based on the grouped together point group, a given to overmuch pleasure R-CNN network of parallel form is suggested. The proposals are put on one side to three being like (in some way) given to overmuch pleasure R-CNN networks according to the different rates on a hundred that they cover on the pictures. The three networks are separated by the measures of the map and (make, become, be) different in the weight of the concatenation 8 of purpose, use maps from one another. The offered EFR-CNN system gets done giving undertaking operation on common points of comparison, including FDDB, AFW, PASCAL faces, And wider face, made a comparison of with stateof - the-art face discovery methods such as UnitBox, hyperface Fastcnn.
Assessing the Role of Domestic Loans on Economic Growth in Cameroon

Therefore, the main objective of financial institutions in an economy is to provide long-term economic growth through the adequacy of the economy.Financing the economy is carried out through its source, capitalizing on the market, and debt financing banking market (Simion, Stanciu, Armaselu, 2015).In addition to roles financial institutions can perform as acceptance of deposits from economic agents, lending, agent of payment, advisers to investors, producing money.The central bank in collaboration with other financial institutions can contribute to economic growth using expansionary monetary policy using instruments like open market operation, minimum lending rate, special deposit, cash ratio, directives, moral suasion, funding, etc.So, injecting more money in circulation by financial
DISCO: WEB SERVICE DISCOVERY CHATBOT

An increasing number of companies offer their capabilities as Web services and publish them through public registries.Such Web services enable users to access and manipulate online data programmatically.Moreover, they can be deployed in service-based systems (SBS) or composite web applications and mashups to offer value-added services.A crucial step in deploying Web services is the Web service Discovery.Selecting the best Web service candidates to address the needs of service requesters (e.g., SBS designers) is an important task in SBSs and can influence the quality of the resulting composite web application.So far proposed solutions for addressing this challenge, which are mainly categorized into Syntactic-based and Semantic-based, are either too complex for end-users which hinders their large-scale adaptation or suffer from low precision and recall.Considering the recent trend of shifting the development activities more and more towards the end-users, we propose an approach based on chat-bot technology to allow end-users to select a set of best-fitting Web services according to their goals.Conversational Interfaces also known as chatbots aim at providing users a more natural framework to interact with web applications and devices.The advantage of DISCO compared to the state-of-the-art approaches is leveraging the natural language as the communication medium and alleviating the need for end-users to have technical knowledge about the service's structure and location.We conducted sets of experiments by recruiting 8 test subjects to query the chatbot.The results achieve high precision and recall.