Reviewerly/exHarmony huggingface dataset:
APPLICATION OF LITERACY CULTURE IN MADRASAH ALIYAH NEGERI LANGKAT DISTRICT

Abstra ct: This study aims to determine: (1) an understanding of literacy culture, (2) the application of literacy culture and (3) supporting and inhibiting factors of the application of literacy culture in Madrasa Aliyah Negeri Langkat Regency. Methodologically this research is a qualitative study by seeking, analyzing and making interpretations of data found through document studies, interviews and observations. The data that has been collected is checked for validity through data validity standards in the form of trustworthiness. Data analysis technique is to reduce, present and make conclusions on the results of research. The results of this study are three, namely: First, residents of Madrasa Aliyah Negeri throughout Langkat Regency understand that literacy culture is not just a culture of reading and writing, but also a culture of observing phenomena that develop in society. They see the activities of membaxca, writing and observing the reality that develops in society as an inseparable whole. Second, the strategies of residents of Madrasah Aliyah Negeri in Langkat District in implementing the GLS program include: a) Providing good library facilities; b) Updating the library book collection; c) Require students to borrow 1 book every week; d) Organization of writing competitions; e) Making wall magazines in each subject; and f) Parents of students participate in providing book facilities for students. Third, supporting factors for the implementation of the GLS program at MAN 1 Langkat include: awareness of school residents regarding the importance of literacy culture; adequate physical facilities such as a library, up to date book collection, reading corner etc. ; active participation of madrasa residents; Madrasah budget allocation for the procurement of supporting facilities; the number of posters, bulletin boards, slogans supporting literacy culture in the school environment; many literacy culture activities or events, such as competitions, book donations etc. and the participation of parents or guardians of students. While the inhibiting factors include: there is no specific time for reading books in the classroom; library location which is not ideal yet; not all teachers can accompany students when reading time activities and not all teachers have a good literacy culture. Keywor d:  Appl i c at i on,  Cul t ur e and Madr as ah
Property in Human Genetic Material: An Old Legal Question for a New Technological Age

This chapter surveys the current legal position concerning property in bodies and bodily materials. Of especial relevance in the current age of advanced genetic and other bio technologies, it looks beyond property in bodies and their materials “as such” to consider also (a) the availability of rights of personal and intellectual property in objects incorporating or derived from them, and (b) the reliance on quasi-property rights of possession and consent to regulate the storage and use of corpses and detached bodily materials, including so-called “bio-specimens”. Reasoning from first principles, it highlights the practical and conceptual, as well as the political and philosophical, difficulties in this area, along with certain differences in the regulatory approach of European and US authorities. By way of conclusion, it proposes the law of authors’ and inventors’ rights as simultaneously offering a cautionary tale to those who would extend the reach of property even further than it extends currently and ideas for exploiting the malleability of the “property” concept to manage the risks of extending it.
Maximizing Profits of Allocating Limited Resources under Stochastic User Demands

Nowadays, cloud brokers play an important role for allocating resources in the cloud computing market, which mediate between cloud users and service providers by buying a limited capacity from the providers and subleasing them to the users to make profits. However, the user demands are usually stochastic and the resource capacity bought from cloud providers is limited. Therefore, in order to maximize the profits, the broker needs an effective resource allocation algorithm to decide whether satisfying the demands of arriving users or not, i.e. need to allocate the resource to a valuable user. In this paper, we propose a resource allocation algorithm named Q-DP, which is based on reinforcement learning and dynamic programming, for the broker to maximize the profits. First, we consider all arriving users' demands at each stage as a bundle, and model the process of the broker allocating resources to all arriving users as a Markov Decision Process. We then use the Q-learning algorithm to determine how much resources will be allocated to the bundle of users arriving at the current stage. Next, we use dynamic programming to decide which cloud user will obtain the resources. Finally, we run experiments in the artificial dataset and realistic dataset respectively to evaluate our resource allocation algorithm against other typical resource allocation algorithms, and show that our algorithm can beat other algorithms, especially in the setting of the broker having extremely limited resources.
Fast, Optimal Algorithm for Real Time Image Enhancement

This paper presents a fast and efficient algorithm to enhance digital image for real time image processing. The true quality of image and minor details in the image are of serious importance in any image analysis. In electronic applications, these are usually affected by varying depth of camera as well as magnitude and direction of sunlight on camera; Resulting digital image contains inaccurate color level, contrast levels, intensity noises in pixels. Paper presents a proposed algorithm and its comparison with traditional enhancement techniques. Unlike traditional histogram approaches, Boosted and Dualistic Contrast Intensity Enhancement enhances color image in three major operations: Global Recursive Separated and Weighted Histogram Stretching, Local Sliding Window of Contrast Limited Adaptive Histogram Equalization with the cancellation of pixel noises, and Luminance Adjustment Function. Proposed technique enhances the image in such a way that it makes minor details more prominent by making dark pixels brighter, sharp pixels lighter and keeping light pixels of same intensity as it is; Overall process maintains the balance among the regions of varying contrast and intensity level without the amplification of unwanted pixels noises. Algorithm is designed to perform under low light in real time, when images start losing the color strength of minor details.
Data protection in Malaysia: the year in review

This presentation is on the review of the data protection law and challenges in Malaysia in the year 2019. This is an update on how the law has been implemented in Malaysia, including the recent issues that emerge. It ends up sharing on the prominent issues that become the focus for law review/amendment proposals,
Analysis of sentiments in political-based tweets using machine learning techniques

Twitter is one of the powerful social media platforms which can be used to learn the perspective of users on various aspects. Tweets can be used to work on various use cases like, to get the viewpoint on the latest release of a product, to estimate the number of supporters for an event, to identity the weightage of someone’s idea and so on.(/P)(P)Tweets are helpful in analyzing the sentiments of the users towards multiple political parties. Not only can a user be in favor of or against a political party but may also have mixed opinion about it. This is considered as positive, negative or neutral sentiments. This study is an attempt to make the prediction of the users’ opinion on different political parties utilizing machine learning algorithms. Congress and BJP are the political parties considered for the study. The sentiment of people, towards these two political parties, are analyzed using SVM and Naive Bayes algorithm.
Editorial Transactions on Education in the New Decade

A new year always brings new challenges and opportunities, and 2020 is no different for the IEEE Transactions on Education. In keeping with the start of a new decade, some of the changes are quite major.
Fuzzy SVM Clustering Using Plane Sweep Algorithm in Big Data Mining

The era of Big Data is leading to an enormous growth of digital information. Text mining is akin in nature to data mining. Text mining is the practice of examining and discovering big amounts of unstructured text data assisted by software that can classify patterns, topics, concepts, keywords and other attributes in the data. Powerful technique for data classification is Support Vector Machine (SVM). SVM makes a decision surface by creating an optimal separating hyper-plane, to divide the data points of different kinds in the vector space. Clustering the text takes a special place since it is reliable and easy to configure. To cluster big datasets and to shrink the computational time, Hadoop distributed platform, MapReduce programming standard is used by issuing clustering job across various computing nodes or handling Big Data MapReduce is proven state of art technology. In Big Text Data analysis MapReduce provides a faster implementation and is a powerful tool. In the event of a big data like server having a difficulty in providing the services furthermore, additional servers in the cluster can take the load. A powerful approach for solving difficulties including geometric objects in a plane known as Plane Sweep algorithm. The key benefit of using plane sweep algorithm is that it clusters more related data into a cluster hence retrieval will be extra fast and accurate. The Evaluation result shows that the proposed approach provided better result when compared with other approaches.
SENTIMENT CLASSIFICATION: 2-STEP SEQUENCE LABELLING FOR ADVERB-ADJECTIVE EXTRACTION

Identifying the sentiments associated with the reviews of products has been thoroughly studied in recent years. However, the existing research primarily focused on the individual aspects of the review elaborating upon noun, verb and adverb expressions. This research focuses on the opinion classification capabilities of the collated adverb-adjective expressions. The findings implicate that the expressions can significantly identify the crux of the sentiments and eradicate the redundancies from the review titles. These expressions enable both organizations and customers to gain a summarized insight of the sentiment shared by the stakeholders of the product or service in context. The users can utilize the summary for their decision-making process and the organization can make advancements in the quality improvement initiatives for their products and services. In this research, we propose a two-step sequence labelling process to extract the adverb-adjective expressions from the titles of reviews and then apply supervised learning methodologies to the extracted corpus for the purpose of sentiment classification. The study employs probabilistic and discriminative classifiers and also gives a comparative analysis of the performance of the two. Given the underpinnings of the data corpus, the framework can be applied to any domain of products and services.
비교과 영어 다독 프로그램을 전후로 한 수준별 학습자의 인식 연구

This paper has an aim at examining graded learners’ perception before and after extra-curricular English extensive reading. The goal of this ER program is to offer students an opportunity of ‘pleasure reading.’ It provides them with a lot of graded readers which are allowed to be chosen by them. The participants have to read at least 2 books and they can present oral book reports biweekly if they want. This program has its characteristics in that there are no test, evaluation, writing report, and diary. According to the pre-perception, the high level students want to improve and maintain their English and the low level students want to be more familiar with English. And all the students want to develop their reading habits. At the end of the program they are quite much satisfied with this ER program and have got good reading habits.
Implementation of C4.5 decision tree in Human Gesture Recognition based on Doppler radars

In order to improve the accuracy of gesture recognition, we investigate the feasibility of using a three-dimensional Doppler-radar array at 24GHz to recognize human gestures with a model consisted of ten classical gestures. On the basis of C4.5 algorithm, phase difference and spectral energy, extracted by correlation processing and power integral, are used as the features to construct decision tree and separate ten gestures. The experiment result shows that this system could achieve a high accuracy of classification reached 99.25%.
THE USE OF COMMUNICATIVE APPROACH IN TEACHING READING DESCRIPTIVE TEXT

Reading is central to learning process, by reading people can gain important information in this millennial era. Study reading aims to develop the reading skills that you need to find information quickly, to identify what is important in a text, to compare different sources of information and to read critically. The aim of this experimental research is to investigate the effect of communicative approach on reading competencies of 10th grade students of SMK SEHATI in the academic year of 2018/2019. It is about 60 pupilss were assigned as sample through random sampling. Data of student’s reading competencies were collected by using multiple choice of descriptive text test. The result shows there is significant effect at student’s reading comprehension. Keywords: Communicative Approach, Performance Assessment, Reading Competency
Analysis of Object Classification and Detection Methods to Mitigate Power Utilization

Now a day’s computing technology being grows rapidly so that object detection or identification is crucial in industry. The object detection is a technology related to computer perception and image processing for detecting samples of items to certain shapes in digital images and videos. The ultimate aim of object detection is segmenting the area of notified from a moving spot and to detecting of its motion, place and blockage. The Pattern recognition and classification introduced the pace for recognition of an object in sequence of images. This paper describes the different object detection, object classification methods including the analysis and comparative investigation of various methods and techniques useful for tracking the objects. Along with these the paper gives short idea about energy saving in industry by having application if image or video processing.
Sintassi delle frasi idiomatiche e delle frasi libere dell’italiano: differenze o similarità?

This study is devoted to the analysis of the similarities and differences between Italian idiomatic constructions and non-idiomatic constructions. Idioms pose many problems as concerns the interaction between syntax and semantics because most literature assigns idioms a special status. Rather, their behaviour is not so different from non-idiomatic constructions, either from a distributional or a transformational point of view. I will present the methodological principles on which I constructed the lexico-grammatical classification of Italian idioms, and I will show that a continuum exists between non-idiomatic and idiomatic constructions. Since most idioms are ambiguous, I will analyze the relationship between ambiguity and communication.
Heat Exchanger Process Optimization in A Typical Brewery Plant

The research attempts to improve upon the performance efficiency of the heat exchanger network system of Pabod Brewery, Port Harcourt, Rivers State, Nigeria. It swaps the heat system of the plant by the use of Pinch Technology to recover waste heat and integrating the recovered energy for process application. The application software is Microsoft Excel and Problem Table Method was employed in the numerical analysis of data. The gross energy expenditure by the plant is 10.44MW at production capacity of 400,000 liters of beer per day. On quantitative aggregate 6.157MW goes for heating and 4.267MW for cooling. A temperature pinch or minimum approach temperature (ΔTmin)of 100C was used in the pinch analysis of the heat exchangers performance. The research findings confirmed minimum heating utility of 5.04MW and cooling utility of 3.09MW. with energy upturn of 1.08MW and 1.23MW for the hot and cold flows respectively. This correlates to energy conservation of 18% for hot utility and 21% for the cold utility. The hot stream pinch temperature is 710C while that of the cold stream is 610C. Heat exchangers network configuration design were performed above and below the pinch The network designs were produced and integrated to produce improved heat exchanger network system for the Brewery plant.
The flow of baseline estimation using a single omnidirectional camera

Baseline is a distance between two cameras, but we cannot get information from a single camera. Baseline is one of the important parameters to find the depth of objects in stereo image triangulation. The flow of baseline is produced by moving the camera in horizontal axis from its original location. Using baseline estimation, we can determined the depth of an object by using only an omnidirectional camera. This research focus on determining the flow of baseline before calculating the disparity map. To estimate the flow and to tracking the object, we use three and four points in the surface of an object from two different data (panoramic image) that were already chosen. By moving the camera horizontally, we get the tracks of them. The obtained tracks are visually similar. Each track represent the coordinate of each tracking point. Two of four tracks have a graphical representation similar to second order polynomial.
Оценка и аттестация профессорско- преподавательского состава в системе управления человеческими ресурсами

The article analyzes the assessment and attestation of faculty fellows at universities. The conclusions from the article consists of the necessity to transform university personnel departments into full-fledged HR-departments. The attestation process does not correspond to theory of human resource management because of the lack of clear goals, criteria, arbitrariness of terms, one-sidedness of applied methods, formal sense of the final result. At the same time, attestation can become an effective tool for managing the work of faculty staff, and the author proposes concrete ideas to improve it.
The Fair Energy Mark in the making: framing a citizen-led campaign by participatory design

There is a growing understanding that design can positively contribute towards highly complexsocial, economic and environmental problems we face today. One key area is citizenempowerment to change built-in systemic inequalities and exploitative practices. This paperpresents a design intervention that explored citizen empowerment in the context of The FairEnergy Mark campaign, a citizen-led action aimed to raise practice standards and address powerimbalances in the energy supply sector. The project-based investigation explored the tensionsemerging between expert–diffuse design in the process of elaboration of campaign branding andcommunication strategy. The researchers experimented with new tools that enabled an openparticipatory process of campaign framing, but also facilitated fluid knowledge exchange betweenparticipants through experiential learning. The investigation contributes some conceptualconstructs to discuss strategic design management practice in the socio-political sphere.Furthermore, the research identified that a closer integration of design and communicative actiontheories, and participatory design and community organising methodologies present promisingopportunities to amplify the impact of design research for social change.
The Impact of Librarians' Individual Abilities on Using Social Networks in Iranian Libraries

The purpose of the study was to articulate the Librarians' Individual Abilities affecting on applying the social networks, as a tool for marketing, from viewpoint of librarians working at the Iranian state university libraries. This research was analytical survey research. The research community consisted of 146 librarians who are working at central libraries of 40 state universities in the capital of province affiliated to Ministry of Science, Research and Technology.  Data collection instrument was a researcher- made questionnaire. The findings of the research confirmed the impact of librarians’ individual abilities on the usage of social networks as a marketing tool in academic libraries. Among the components, “skill for establishing a communication via a social networks” (3.34), “familiarity with social network” (3.26) and “cognitive skill for meeting users’ information requirements” (3.13) had the greatest impact on using social networks as a marketing tool in academic libraries. Based on the findings of the research and outputs, we concluded that, individual abilities are among the most important success factors of academic libraries and most be defined as an important element of academic librarians’ competency profile. For that, library managers and librarians are to be aware of the ever-changing conditions in academic libraries, and assess the strengths and weaknesses of individual librarians' characteristics and their job performance for effective use of social networks in library marketing.
SISTEM INFORMASI SIMPAN PINJAM KOPERASI KARYAWAN PTPN XII KEBUN SUMBER TENGAH

The saving and loan information system of the Employees Cooperative in PTPN XII (Persero) Kebun Sumber Tengah is an enterprise dealing with saving and loan particularly for the employees of PTPN XII (Persero) Kebun Sumber Tengah giving such a service for the members especially in saving and loan. The data management is already computerized even though it is still run by using Microsoft Office that it does make the members who want to do saving and loan should wait in longer time because it usually appears data redundancy in the saving and loan data itself. The researcher raises a problem based on what is faced in the saving and loan data management. It is then expected to help the cooperative staffs increase their service to the members as well as save the data or any important documents, so the information can be presented faster and more accurately.The method of developing the information system applies system developing tools such as Flow Map Context Diagram (Contex Diagram), DFD (Data Flow Diagram) and design tools while the database proposed is ERD (Entity Relationship Diagram) relation table. The saving and loan information system that is designed aims at building a computerized information system that can enable the employees in the cooperative department manage the data of member, data of saving, data of loan, and data of installment.
Sistem Informasi Industri Kecil Menengah Berbasis Sentra Menggunakan Metode Rapid Application Development

Domestic economic growth in Indonesia has increased by 5% per year in the four year period of the implementation of the RPJMN (2015-2018). The Department of Manpower and Industry of Cilacap district has had IKM data that have been recorded manually using books. The problem that occurs is the agency difficulty in finding data as well as difficulties in monitoring the development of turnover, production capacity, assets, as well as the number of workers that change very quickly. Based on these problems, it is necessary to create a center-based small and medium industry information system to manage small-based center industries. This research uses the Rapid Application Development (RAD) method. The results of this study are the existence of an information system that is able to manage data of small and medium industries based on centers, the ability to find data quickly, and the ability to monitor developments in terms of turnover, assets, production capacity and number of employees.