Reviewerly/exHarmony huggingface dataset:
IMPROVING SPEAKING SKILL OF SMP BUDI UTAMA KEROBOKAN STUDENTS THROUGH INSIDE OUTSIDE CIRCLE WITH VIDEO

The study of this research was to figure out the improvement of speaking skill of the eighth grade students of SMP Budi UtamaKerobokan in academic year 2019/2020 through inside outside circle with video. The subjects were the eighth grade students of SMP Budi UtamaKerobokan in academic year 2019/2020. The passing grade of the eight grade students is 77. The design was classroom action research that carried out through inside outside circle with video technique in two cycles, on each cycle consisted of two sessions. The obtained data were collected by administering the instruments to the subjects, then qualitatively from the questionnaire. The result in each cycle showed that the pre-test was 65.5, than there was significant improvement in post-test 1 was 74.8, and last on post-test 2 was 82.7. It means that 75% of the subjects pass the passing grade. The result of the questionnaire showed that 99% of the students agree with implementation of this technique. In short, the present classroom action research showed that speaking skill of the eighth grade students of SMP Budi UtamaKerobokan in academic year 2019/2020 can be improved through inside outside circle with video.
Efficient FPGA Implementation of Modular Multiplication and Exponentiation

This paper presents an FPGA implementation of the most critical operations of Public Key Cryptography (PKC), namely the Modular Exponentiation (ME) and the Modular Multiplication (MM). Both operations are integrated in Hardware (HW) as Programmable System on Chip (PSoC). The processor Microblaze of Xilinx is used for flexibility. Our objective is to achieve a best trade-off between execution time, occupied area and flexibility. In order to satisfy this constraint, Montgomery Power Ladder and Montgomery Modular Multiplication (MMM) algorithms are utilized for the ME and for the MM implementations as HW accelerators, respectively. Our implementation approach is based on the digit-serial method for performing the basic arithmetic operations. Efficient parallel and pipeline strategies are developed at the digit level for the optimization of the execution time. The application for 1024-bits data length shows that the MMM run in 6.24 µs and requires 647 slices. The ME is executed in 6.75 ms, using 2881 slices.
Successful Development of Virtual Teams in a Geographically Dispersed Electric Power Grid Company

Electric power grid operation companies are in need for renewal and restructuring due to the introduction of local renewable energy production and changed patterns of energy and effect consumption, combined with strong political incentives for electrification. This paper present how development of two supporting capabilities has contributed in improvement of organizational performance. The two capabilities are (1) analytics, the capacity and ability to process and analyze data, together with (2) collaboration, the capacity and ability to effectively involve relevant expertise and authority at the right time in decision making regardless of organizational and geographical location.
IMPLEMENTASI TEKNIK KRIPTOGRAFI RSA UNTUK PENGAMANAN DATA PENGIRIMAN SMS

Message sending is one activity that is often used by everyone. However, security in this message delivery system needs to be wary of spying or message piracy during the process of sending messages. Surely someone who sent the message does not know if someone's personal message has been stolen. With this initiative builds a security message using cryptographic RSA algorithm where the message sender or recipient of the message can send the message safely without being known to the message hijacker or spy. Cryptography that uses the RSA algorithm to secure messages. This RSA algorithm message will be decrypted with the public key and to encrypt the message. This application was built on the Android platform because the dominant person has an Android smartphone with a system that runs the length of the message character does not affect the speed at the time of sending the message to the recipient, and there is no limit on the length of the message character during the encryption process so that any length of the massage character can be encrypted well.
Policies for elementary link generation in quantum networks.

Protocols in a quantum network involve multiple parties performing actions on their quantum systems in a carefully orchestrated manner over time in order to accomplish a given task. This sequence of actions over time is often referred to as a strategy, or policy. In this work, we consider policy optimization in a quantum network. Specifically, as a first step towards developing full-fledged quantum network protocols, we consider policies for generating elementary links in a quantum network. We start by casting elementary link generation as a quantum partially observable Markov decision process, as defined in [Phys. Rev. A 90, 032311 (2014)]. Then, we analyze in detail the commonly used memory cutoff policy. Under this policy, once an elementary link is established it is kept in quantum memory for some amount $t^{\star}$ of time, called the cutoff, before it is discarded and the elementary link generation is reattempted. For this policy, we determine the average quantum state of the elementary link as a function of time for an arbitrary number of nodes in the link, as well as the average fidelity of the link as a function of time for any noise model for the quantum memories. Finally, we show how optimal policies can be obtained in the finite-horizon setting using dynamic programming. By casting elementary link generation as a quantum decision process, this work goes beyond the analytical results derived here by providing the theoretical framework for performing reinforcement learning of practical quantum network protocols.
Multiple-Image Fusion Encryption (MIFE) Using Discrete Cosine Transformation (DCT) and Pseudo Random Number Generators

This chapter proposes a new multiple-image encryption algorithm based on spectral fusion of watermarked images and new chaotic generators. Logistic-May (LM), May-Gaussian (MG), and Gaussian-Gompertz (GG) were used as chaotic generators for their good properties in order to correct the flaws of 1D chaotic maps (Logistic, May, Gaussian, Gompertz) when used individually. Firstly, the discrete cosine transformation (DCT) and the low-pass filter of appropriate sizes are used to combine the target watermarked images in the spectral domain in two different multiplex images. Secondly, each of the two images is concatenated into blocks of small size, which are mixed by changing their position following the order generated by a chaotic sequence from the Logistic-May system (LM). Finally, the fusion of both scrambled images is achieved by a nonlinear mathematical expression based on Cramer’s rule to obtain two hybrid encrypted images. Then, after the decryption step, the hidden message can be retrieved from the watermarked image without any loss. The security analysis and experimental simulations confirmed that the proposed algorithm has a good encryption performance; it can encrypt a large number of images combined with text, of different types while maintaining a reduced Mean Square Error (MSE) after decryption.
ANALYSIS OF STUDENTS’ WRITING SKILL ON THE USE OF SIMPLE PAST TENSE IN RECOUNT TEXT AT SMA N 1 TONDANO

The objective of this research was to analyze students' writing skill on the use of simple past tense in recount text . The design of this research was qualitative research. The participants of this research were 20 students of the eleventh grade of SMA N 1 Tondano. The data were gathered from the students' writing texts and interview. The data were coded using grounded theory by Straus and Corbin (1990). The findings showed that students’ ability on writing recount text is considered low. There were five problems faced by students in writing in terms of grammar, diction, spelling, ideas development and text structure. All the problems are generaly caused by the lack of practice and motivation in writing activities. From the result, the researcher concluded that students’ ability in writing skill on the use of simple past tense in recount text needs to be improved. Keywords: Writing, Recount Text, Students' Ability, Grounded Theory
USING EXTENSIVE READING IN IMPROVINGREADING SPEED AND LEVEL OF READINGCOMPREHENSION OF STUDENTS

In the Philippines, English may be considered as the second language, but students may still bestruggling to cope with learning to read; something that even authorities admit even though students readingaptitude in public elementary and high schools, for years, has been measured using intensive reading. In searchfor alternative reading approach to get children interested in reading, the researchers tried Extensive Reading(ER) which has been promoted to be the best way to improve language proficiency of the second languagelearners. Using the one-group pretest-posttest method, the study involved 10 children residing in a localbarangay (the smallest administrative division in the Philippines) in Manila who were initially diagnosed asfrustrated readers. The participants were allowed to choose the reading materials based following their gradedreading level, and they were given assessment each time they have completed their reading. After the ten-weeksessions, remarkable changes in the reading performance of the children were found in their reading performanceboth in speed and comprehension. The positive results of this experiment served as strong basis for an extensionactivity to be conducted to continue monitoring the reading performance of the children participants in the saidbarangay.
Development of a Color Tutoring System on Smart Phone for Children Enhanced Learning

In the meantime, smart phones are the most popular device in the globe, as it is still in evolvement and advancement. Almost everybody has a personal smart phone device in the recent. One of the potentials of these smart phones is to run a diversity of applications, making handlers to use it most of the time as well as for discharging their daily tasks. The aim of this study is to develop an expert system running on android smart phones. This paper is an expert system for color tutoring in nursery and primary schools. An application which emphasizes the use of color in teaching nursery grade to primary pupils developed in Java on Android using a service-oriented architecture. The system runs on mobile devices and offers smart features that evaluates and uses color and picture to select and describe different types of entities and real world vegetation and surroundings. Equations of life can be easily seen in pictures since colors are very noticeable and the eyes tend to float back and forth on paintings. The system will use a rule-based engine and scripting environment implemented in Java which reasons with the use of knowledge databases implemented as declarative rules.
A Study on Automatic Keyphrase Extraction and Its Refinement for Scientific Articles

Keyphrase extraction is a fundamental, but very important task in NLP that map documents to a set of representative words/phrases. However, state-of-the-art results on benchmark datasets are still immature stage. As an effort to alleviate the gaps between human annotated keyphrases and automatically extracted ones, in this paper, we introduce our on-going work about how to extract meaningful keyphrases of scientific research articles. Moreover, we investigate several avenues of refining the extracted ones using pre-trained word embeddings and its variations. For the experiments, we use two different datasets (i.e., WWW and KDD) in computer science domain.
METHODOLOGIES AND TECHNIQUES FOR TEXT SUMMARIZATION: A SURVEY

There is a lot of information available in the form of the text documents. To gain this knowledge from the text data, its summary is a convenient way to grasp the information quickly. Text summarization applications can be seen where ever text document is involved irrespective of the field. Due to its applications and ease that it brings, text summarization is a popular topic in the field of Natural language processing. The text summarization is categorized as extractive and abstractive summary. Many researchers have proposed methodologies to improve both extractive and abstractive summaries. This study shed light on the different types of summarization, different approaches that are being developed and used for the text summarization. This study also covers the evaluation types that are used for the evaluation of the summary.
A generic construction of rotation symmetric bent functions

&lt;p style='text-indent:20px;'&gt;Rotation symmetric bent functions are a special class of Boolean functions, and their construction is of theoretical and practical interest. In this paper, we propose a generic construction of rotation symmetric bent functions by modifying the support of a known class of quadratic rotation symmetric bent functions, which generalizes some earlier works. Moreover, many infinite classes of rotation symmetric bent functions with maximal algebraic degree can be easily obtained from our construction.&lt;/p&gt;
The impact of transactional and transformational leadership on job related outcomes in the nursing profession

The role of nursing is crucial for providing required cure and care to patients in hospitals. The leadership style influence nurses working abilities and job related outcomes. Considering these arguments the present study aims at examining the relationship between nursing leadership styles (i.e. transactional and transformational) and job related outcomes (i.e. commitment with organization, satisfaction with job and work performance). To do this data was collected from 206 nurses working in different hospitals of Pakistan was collected. Descriptive and inferential statistical treatment was given to analyze the data. The results of the study revealed that both the leadership styles (i.e. transactional and transformational) positively and significantly correlated with work performance, organizational commitment and job satisfaction. On the other hand, regression analysis confirms that transformational leadership study has greater impact on job satisfaction and organizational commitment as compared transactional style while, transactional leadership style has greater influence on work performance.
The Study on Using Biometric Authentication on Mobile Device

With the advanced of technology on mobile device, living the life through modern technology seems convenient and beneficial. Various of sensor and application installed on mobile device support and continuously change the way of people’s life such as how to communicate with each other, to shop and to make transaction on financial and banking. One of the most things needed to be considered is how people protect on their own rights, data and private information among the insecure environment aside the mobile technology. Thus, security becomes seriously and complexity issues. Many techniques were developed and tested in order to ensure the reliability for user on using mobile device and its technology over decade. Biometrics which represents something existing in every human being is used to identify individual as it is unique. In this paper, the review of mobile user authentication and problems, the benefit of using physical biometric such as face, fingerprint, retina and iris also behavioral biometric for example voice, keystroke and touch dynamics are defined. The practical attacks on biometric recognition approaches available presently are stated along with the future work of biometric authentication. As a result, to improve accuracy and to enhance resistance against many types of attack on mobile device, the dynamic authentication with machine learning and deep learning techniques and applying biometric as two-factor authentication should be considered to use.
Improved Depth Estimation for Occlusion Scenes Using a Light-Field Camera

With the development of light-field imaging technology, depth estimation using light-field cameras has become a hot topic in recent years. Even through many algorithms have achieved good performance for depth estimation using light-field cameras, removing the influence of occlusion, especially multi-occlusion, is still a challenging task. The photo-consistency assumption does not hold in the presence of occlusions, which makes most depth estimation of light-field imaging unreliable. In this article, a novel method to handle complex occlusion in depth estimation of light-field imaging is proposed. The method can effectively identify occluded pixels using a refocusing algorithm, accurately select unoccluded views using the adaptive unoccluded-view identification algorithm, and then improve the depth estimation by computing the cost volumes in the unoccluded views. Experimental results demonstrate the advantages of our proposed algorithm compared with conventional state-of-the art algorithms on both synthetic and real light-field data sets.
PERANCANGAN MANAJEMEN LAYANAN TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK INFORMATION TECHNOLOGY INFRASTUCTURE LIBRARY (ITIL) VERSI 3 DOMAIN SERVICE OPERATION STUDI KASUS DI SMK NEGERI 3 BANDUNG

Information Technology (IT) is one of the most powerful pillars in a company while many functions cannot be managed without IT. Nowadays IT is becoming a technology that is widely used by most organizations and is expected to help improve ongoing processes, and be controlled in the field of education. School is one of education with one of the tasks it carries is to provide services to the community to provide quality and efficient future Human Resources (HR). The main activity in the school in accordance with the specified function, namely as an education provider, is an academic service. This study discusses one of the information technology governance work agreements, ITIL (IT Infrastructure Library) version 3. This framework provides best practice guidelines for IT Service Management. One of the cycles in ITIL version 3 is IT Service Operations which is the focus area of this research. From the results of a survey conducted on IT and Non-IT Students, IT and Non-IT teachers as well as IT and Non-IT employees regarding their responses to the readiness requirements for implementing IT Service Operations at SMK Negeri 3 Bandung, it is necessary to have time in the game now. initial and repetitive where current improvements still need to be done Steps related to the implementation of IT Service Operations. In this study preparations have been made in the steps, strategies and evaluation of improvements for the application of IT Service Operations at SMK Negeri 3 Bandung by using IT Infrastructure Library (ITIL) version 3. The final result of this thesis is a clue / clue related to the steps , strategies and evaluation of improvements that need to be done before implementing the activities and processes of IT Service Operations at SMK Negeri 3 Bandung. This result is the answer to overcome the weaknesses found in the management of information technology management, especially IT Service Operations regarding academic services at SMK Negeri 3 Bandung. Keywords: ITIL version 3, service operation, academic services DOI : http://doi.org/10.5281/zenodo.3929081
Geometric Feature Extraction for Detecting Carcinoma in Three Dimensional MR Images Through Machine Learning Algorithms

Quantitative analysis of Anatomical structures in CT scan and MRI scan images using Artificial Intelligence (AI) techniques requires extraction of physical features, be it geometric or parametric, pertaining to Volumes and shapes of some parts of the human body. Anatomical features of a human body could be visualized as spatial distributions of basic geometric features like points, straight lines, curves, surfaces, textures and skeleta. To detect superficial and volumetric features of three dimensional images are always been a difficult task. There is certain amount of progress made in this area and found in the literature. The above said problem is addressed in this paper and some of the Machine Learning Algorithms are proposed to detect edges and skeletal of three dimensional images. These features lead to detection of tumours, either benign or malignant [1, 2].
Development of Statistical Model to Evaluate the Effect of Meteorological Parameters on the Performance of PV-Cell/Module

The growing need for energy by the human society, climate change and depletion of conventional energy sources demands a renewable, safe, illimitable and low-price energy source. One of the best applicable means to break the accountable world’s activity crisis is to use the authority of the sun. Solar activity is clean, great and environment-amicable abeyant ability amid renewable activity options. Solar Photovoltaic (SPV) cells/ modules are composed of silicon or other semi-conductive materials. Semiconductor materials have negative temperature coefficient. The photovoltaic module power output/efficiency depends linearly on the operating temperature while operating temperature of photovoltaic module is depends on the meteorological parameters such as: wind speed, humidity, sky condition etc. In order to predict the energy production of photovoltaic (PV) modules, it’s far compulsory to presage the PV module temperature as a function of ambient temperature, wind speed, wind direction, total irradiance, and relative humidity. This paper presents a statistical model to evaluate the effect of meteorological parameters on the performance of PV cell/module and predict the modules efficiency & module temperature.How to cite this article: Sanjay, Berwal AK. Development of Statistical Model to Evaluate the Effect of Meteorological Parameters on the Performance of PV-Cell/ Module. J Adv Res Alt Energ Env Eco 2020; 7(1): 1-7.DOI: https://doi.org/10.24321/2455.3093.202001
Using High Fidelity Interactive Prototypes for Effective Communication to Create an Enterprise Mobile Application

This paper describes use of high fidelity prototypes and their benefits in the design process of a native iOS enterprise mobile app that provides employees with internal and external news on industry and business-related topics. As designers have various touch points including users, developers, stakeholders, and other designers, we built and used interactive, high-fidelity prototypes to enhance communication between all parties. In this paper, we use three project case studies to demonstrate the unique and beneficial role that interactive, high-fidelity prototyping plays in the design.
INDIAN PENAL CODE ACT DETECTING SYSTEMUSING CHATBOT

In our country, most of the people were unaware of the criminal laws and penalties under IPC (Indian Penal Code)sections correspondingly. So it is necessary to make themselves aware of all kind of laws put forth by ourconstitution against crime. Once the people come forward to know the law, then they can be aware of laws, IPC actand penalty. There is an existing system for user to know about the crime details or to manage the crime records ofthe criminals in our country based on the web app and mobile app but they wont provide any laws, IPC act andpenalty. The proposed system is a web app with chatbot based software which contain all the laws of IPC act. So,that people can get to know the laws for respective crime by chatting. Since this is easy to user because now-a-dayschatting is emerging up. Based on the voice chat to the user can chat and get the IPC act and penalty for therespective laws with the response of voice. This system is developed based on AWS platform with LEX andLAMBDA function using Python and Nodejs. All the laws,IPC act and penalty is also listed on the webpage forefficient access for the user. For this XAMPP server has been used to store those data in the database using PHP.