Reviewerly/exHarmony huggingface dataset:
Uji Kinerja Surface Scanner 3D Menggunakan Sensor VL53L0X dan Mikrokontroler ATMEGA8535

Digital data recording of the geometry of 3-dimensional objects require a 3D scanner tool which are mostly using an imagery sensor. However there is hardly used information of scanned result, named color. Imagery sensor requires high spesification processing unit as capable as a personal computer for data acquisition processing. This research aims to build a 3D surface scanner using a time of flight laser ranging sensor and to develop its simple function to become more valuable device. Using point to point displacement method, the sensor measures the distance between the outermost point of the object and the sensor surface perpendicularly, once when one measurement is done then the object to be rotated along with the rotary table. The prototype was built using the VL53L0X sensor and ATMEGA8535 microcontroller as a motor controller for rotary table and vertical axis. Scanned data is sent from the microcontroller to the computer to be visualized in real time. The results show that the VL53L0X sensor is suitable for scanning convex objects but it is not capable to handle objects with multiple cavities.
Open and closed spin chains as multiprocessor wires: Optimal engineering and reachability

We consider the perfect transfer of a state between arbitrary nodes of one-dimensional spin-1/2 chain with optimally engineered couplings. Motivated by the fact that such a system could be used as a data bus for connecting multiple quantum processors, we derive two necessary and sufficient conditions that have to be met in order to perfectly transfer a state between any two nodes and we employ them to examine both open and closed geometries. Analytical calculations and numerical optimizations are performed for both cases in order to determine the reachability of certain target states and to provide optimal values for the couplings which ensure perfect fidelity. An important finding is that even-sized closed chains allow for perfect transfer between any pair of sites and therefore are a promising platform for the implementation of data bus protocols.
The effectof using reciprocal teachingtowards students’ reading ability of recount text inthe eighth grade of SMPN 1 Sine

The purpose of this research is to know the effects of Reciprocal Teaching toward students’s reading ability of recount text in the eighth grade of SMPN 1 Sine in the Schooling year of 2016/2017. Reciprocal Teaching has four strategies, such as; Predicting, Questioning, Clarifying and Summarizing. The method that is used by the researcher is Experimental Design. The researcher used two classes, the first class as control class and the other one is expeimental class. Each class consists of 20 students. They had different treatment. The control class is not treat by the Reciprocal Teaching but the experiment class treated Reciprocal Teaching. The researcher got the data by using pretest and postest for each class. The test is 50 items of multiple choices. The researcher used SPSS v23 to count the result of the data. The data analysis showed the significancy of the data. The mean score for experimental group has 49, 20. Then, the mean score for control group has 43, 25. Based on the two means, it can be considered that both of the groups are significantly different. The results of the sig. of the Lavene’s test for equality of variances show that it exceeds the level of tolerance p. value .05. The result of sig. is .095. It means that there is no significant different from the two groups and Ho can be rejected. The mean score for group which is treated by using Reciprocal Teaching has 79, 55. Then, the mean score for the group which is not treated by using Reciprocal Teaching has 73, 55. The results of post-test both of the groups show significantly different. The result of independent sample t-test shows the significantly different can be seen from the sig. 004 in t-test for equality of means. This result is lower than the p value .05 of significance tolerance. It can be concluded that Reciprocal Teaching Technique is effective toward students’ reading ability of recount text in the eighthgrade of SMPN 1 Sine.
An analytical study of Hygiene Practices and its impact of Health status of the household

Individual health and hygiene is largely dependent on adequate availability of drinking water and proper sanitation.Therefore, a direct relationship between water, sanitation and health.Consumption of unsafe drinking water, improper disposal of human excreta, improper environmental sanitation and lack of personal and food hygiene have been major causes of many diseases in developing countries and India is no exception to this.Sanitation is one of the basic determinants of quality of life and human development index.Good sanitary practices prevent contamination of water and soil and thereby prevent diseases.The concept of sanitation was, therefore, expanded to include personal hygiene, home sanitation, safe water, garbage disposal, excreta disposal and waste water disposal.The present research aim to study sanitation practices followed by the household in the PanhalaTaluka.For the study hygiene index was prepared and household sanitation practices were assessing.The study result reveals that households are following the hygiene practices in terms of defection and hand washing habits, however the score is less in terms of water related hygiene practices and domestic waste management.
Security Analysis of Grr Rapid Response Network using COBIT 5 Framework

Connection from the Internet is required to always be maintained under any conditions, but not always connectivity will run smoothly, lots of crowds or problems that require connections do not run smoothly. Application of security systems to overcome all problems and difficulties, both technical and non-technical which can affect system performance. GRR Rapid Response is the answer to internet network security. GRR asks for a client-server model, agents installed on the machine (client) to be able to communicate with the Grr server to access and provide unique client IDs. After setting this active and running, the server can send a request to the client who collects information, and the client sends a response to the request. After Grr is made, it is necessary to do a system evaluation and evaluation. The COBIT 5 framework is a good standard for determining the level of maturity of network security. The maturity level obtained is 2.899 can be decided at an institutional maturity level defined. The level of support the institution has agreed to, supports and supports all activities related to network security.
Knowledge Attitude and Performance of Female Students of Medical versus Nonmedical Sciences toward Breast Self-examination

Knowledge Attitude and Performance of Female Students of Medical versus Nonmedical Sciences toward Breast Self-examination
Database Security Model using Access Control Mechanism in Student Data Management

Database security means the protection of data against unauthorized disclosure, alteration, destruction.This paper present a procedure to implement a Data Access Policy to ensure the protection of privacy rights of students' records within student data management system.According to the system, the administration of different security levels, resources, users, tasks etc. is indispensable.This paper focused on a student data management system by using Data Access Control model.According to the concept, only the administrator has the privilege to manage or administer the data.She/he provides all types of privileges required to maintain users, their authorization and access, and the authorized resources.The administrator controls the largest information.This system we present DAC access control mechanism using MySQL database.
Problems in Pronouncing the English Sounds Faced by the Students of SMPN 2 Halong, Banjar

This study entitled “Problems in Pronouncing The English Sounds Faced By The Students Of SMPN 2 Halong, Banjar” is intended to find out the problems in pronouncing the English sounds faced by the students of SMPN 2 Halong, Banjar.This research uses qualitative method with contrastive analysis. The data were taken from the recorded students’ voice. The researcher used recording, transcribing and analyzing technique. The researcher analyzed the data: 1. comparing English sounds and students’ pronunciation, 2. finding out the consonant, vowel and diphthong mispronounced by the students, 3. finding out students’ difficulties in pronouncing the English sounds, 4. finding out the students’ problems in pronouncing English sounds, 5. drawing a conclusion. The Subjects of this research are Banjar students of ninth grade at SMPN 2 Halong.It is found out that the students had problems in pronouncing the English sounds of consonant (/t/, /θ/, /ʃ/, /-t/, /f, /ʒ /, /-d/), vowel (/ɒ/, /e/, /oʊ/) and diphthong( /eɪ/, /oʊ/, /ə r /). The sounds /θ/ are pronounced as [t], /ʃ/ is as [s], /ɒ / as [u], /oʊ/ as [aw], /ʒ/ as [s], while /t/, /eɪ /, /-t/, /-d/ and /ər/ are pronounced they are written. The error can be caused by the absence of the sound in their mother tongue.
Using Data Expedition as a Formative Assessment Tool in Data Science Education: Reasoning, Justification, and Evaluation

The paper addresses the questions of data science education of current im-portance. It aims to introduce and justify the framework that allows flexibly evaluate the processes of a data expedition and a digital media created during it. For these purposes, the authors explore features of digital media artefacts which are specific to data expeditions and are essential to accurate evaluation. The ru-brics as a power but hardly formalizable evaluation method in application to digi-tal media artefacts are also discussed. Moreover, the paper documents the experi-ence of rubrics creation according to the suggested framework. The rubrics were successfully adopted to two data-driven journalism courses. The authors also formulate recommendations on data expedition evaluation which should take into consideration structural features of a data expedition, distinctive features of digital media, etc.
JPEG compression history detection based on detail deviation

The authenticity of the image is crucial to many cases. The efficient detection of the JPEG compression history of bitmap image could reveal the possibility of tampering on the image. In this paper, we propose a lightweight but reliable JPEG compression detection method based on image information loss. An efficient feature of the decreasing percentage of zero coefficient is proposed to detect the JPEG compression history of an image, due to the increasing JPEG compression quality factor. In our method, estimated original images are first created. Then the given image and its estimated counterpart are compressed to get the JPEG coefficient. After that, the image information loss will be calculated. Through the analysis, the goal of the compression history detection can be achieved. Extensive experimental results have demonstrated that the proposed method outperforms the existing methods.
An Intelligent Method for Expert Finding Based on Knowledge Organization Systems: Taking the Example of Oncology

Abstract In this paper, the experts are mapped and found through the concept and semantic relations of knowledge organization systems. First, a hierarchical model of expert description is designed based on the literature data and knowledge organization systems, as foundation of expert rapid finding, intelligent reasoning and dynamic updating. Then, 5 key steps are introduced based on knowledge organization systems, by which the research directions of experts can be identified accurately and visually in TF-IDF and LDA model. Finally, taking the example of Oncology, the experiment indicates that experts with the same or near research direction can be aggregated fast and effectively by semantic linkage compared with VSM agritourism. This method is expected to find out the most suitable experts by calculation and reasoning automatically.
When Wearable Sensing Meets Arm Tracking (poster)

In this poster, we present our recent work, a wearable system for achieving real-time 3D arm skeleton. We have coped with the major challenge that the skeleton of each arm is determined from the locations of the elbow and wrist, whereas a wearable device only senses a single point from the wrist. Result shows that the potential solution space is huge. This underconstrained nature fundamentally challenges the achievement of accurate and real-time arm skeleton tracking. In this study, we propose Hidden Markov Model (HMM) state reorganization and hierarchical search two methods to improve the heavyweight computation of the state-of-art arm tracking model and achieve real-time tracking even on mobile phone.
INFORMATION AND DOCUMENT PROFILE OF EDUCATIONAL PROGRAMS IN THE CONTEXT OF NEW INTEGRATED SPECIALTY

Purpose of Article. The purpose of these article is to analyze development of the specialty “Documentation and Information Activities” in the framework of the new integrated specialty 029 Information, library and archival work. Methodology of the research consists in applying general scientific and special methods of cognition, in particular, methods of comparative analysis, statistical, terminological, chronological and other research methods, among which a special place is occupied by analytical monitoring of websites on the Internet. Scientific novelty of this paper lies in the fact that the features of the development and changes of the specialty “Documentation and Information Activities” in the context of the modernization of the educational process in Ukrainian universities are traced. Conclusions. As a result of the study, it was found that the specialty “Documentation and Information Activities” in terms of educational reforms remained meaningful, but changed its place, taking up in a new integrated specialty 029 Information, library and archival work as a priority educational and professional program/specialization with such same name or partially modified, along with other components of the library and archive profile. There is a tendency towards the predominant development of the information and documentation profile of educational programs of specialty 029, which combines documentation activities with information and communication technologies.
Sistem Pakar IQ dalam Pengelompokan Anak Reterdasi Mental dengan Algoritma K-Means

Reterdated mental children are children who have an intellectual level below the average. mentally retarded children are children who have intellectual deficiencies or limitations, are below the normal average, so have difficulties in academic, communication, and social tasks, and require special education services. Expert system is one part of artificial intelligence which has recently experienced very rapid development. This study aims to help the Dharma Wanita Extraordinary School to place students and students into a class with groups that are equally backward by applying the K-Means algorithm. The design of this expert system uses Data Flow Diagrams (DFD) and the programming language used to build expert systems in this study is Visual Basic. The results of the expert system built in this study help in diagnosing the level of mental reterdation based on the symptoms given by the user and the level of mental reterdation based on possible values ​​using the K-Means algorithm calculation.&#x0D; Keywords:Expert System, Mental Retarded Children, K-Means Algorithm.
Structure-Based Supervised Term Weighting and Regularization for Text Classification

Text documents have rich information that can be useful for different tasks. How to utilise the rich information in texts effectively and efficiently for tasks such as text classification is still an active research topic. One approach is to weight the terms in a text document based on their relevance to the classification task at hand. Another approach is to utilise structural information in a text document to regularize learning so that the learned model is more accurate. An important question is, can we combine the two approaches to achieve better performance? This paper presents a novel method for utilising the rich information in texts. We use supervised term weighting, which utilises the class information in a set of pre-classified training documents, thus the resulting term weighting is class specific. We also use structured regularization, which incorporates structural information into the learning process. A graph is built for each class from the pre-classified training documents and structural information in the graphs is used to calculate the supervised term weights and to define the groups for structured regularization. Experimental results for six text classification tasks show the increase in text classification accuracy with the utilisation of structural information in text for both weighting and regularization. Using graph-based text representation for supervised term weighting and structured regularization can build a compact model with considerable improvement in the performance of text classification.
Corruption, Institutional Quality and Economic Growth in West African Countries (1995-2017)

This study examines the relationship among corruption, institutional quality and economic growth; and analyses the interaction effects of corruption and institutional qualities such as political stability and absence of violence (pv), government effectiveness (ge), regulatory quality (rq), control of corruption (cc), voice and accountability (va), and rule of law (rl) on economic growth (gdp) in West African Countries. Time series data covering the period between 1995 and 2017 were employed with Panel VAR method. Our results showed that corruption (cp) and economic growth are negatively related at lag one, and positively related at lag two, but the results were statistically insignificant. All institutional quality indicators, except ge are negatively related to economic growth at lag one, but at lag 2, positively related except rq, cc, and pv. These results were also statistically insignificant, except that of pv which is statistically significant.Our results also showed that interaction of control of corruption with corruption (cccp); regulatory quality with corruption (rqcp); and political stability and absence of violence with corruption (pvcp) negatively affect economic growth in West Africa both at lag one and two and were statistically insignificant. These results are expected in countries that are poorly rated both in terms of corruption and institutional quality. The study suggests reasonable policy interventions aimed at reducing the incidence of corruption as well as improving institutional quality in West Africa Countries.
The Impact of Principals use of Information and Communication Technologies ICTS in Effective Administration in Public Secondary Schools in Fako Division

This study sought to examine the principals' use of Information and Communication Technologies (ICTs) in effective administration in Public Secondary Schools in Fako Division.A quantitative research approach was applied to conduct this study and a structured questionnaire was used to collect data from 100 principals and vice principals in 40 secondary schools in Fako Division.The study sought to identify examine principals use of ICTs in effective administrative planning, organizing, controlling, implementing and monitoring activities which were the main aspects of effective administration considered in this study.The findings of this study revealed that most principals in Public Secondary Schools in Fako use ICTs -phones, computers, printers, internet, and radio, television and photocopy machines in administrative duties which these tools ease duties in different ways.ICTs has the potential in terms of time saving, accuracy, legibility, data storage, record check, and amenable for further references, comparative statements, task calculations, and preparation of report of school activities and performances as those principal the indicated frequent and high used ICTs also indicated a more efficient administrative planning, organizing, controlling, implementing and monitoring activities in their schools.Thus, the statistical test indicated that there is significant positive association between the use of ITC and effective administration in public secondary schools Fako as such it is recommended that principal should improve their level of proficiency in the use of this efficiency.
Study on Machine Learning for Identification of Farmer’s Query in Kannada Language

Agriculture is considered as the economic backbone of almost all the countries in the world.As there is increase in population, the need for basic requirements such as food, clothing, shelters, and medicines also increases.To meet all these needs, advancement in agriculture is needed.Various technologies have been introduced in agriculture to increase the yield of several crops.One among them is the machine learning technology.Machine learning is an important area in computer science that allows the computers to write programs on its own without being explicitly programmed.Machine learning techniques in agriculture help to improve the traditional farming techniques in a very efficient way.The main purpose of this paper is to learn different use of machine learning techniques in agriculture and to develop machine learning model for agriculture.
2018 IEEE International Power Electronics, Drives, and Energy Systems Conference Held in Chennai, India [Society News]

The 2018 IEEE International Power Electronics, Drives, and Energy Systems (PEDES) Conference was held at the Indian Institute of Technology, Madras, India, 18-21 December 2018. Researchers, academicians, industrialists, professionals, and government officials all participated in the event (Figure 1). Four IEEE Societies sponsor the PEDES conferences: the IEEE Industry Applications Society (IAS), the IEEE Power & Energy Society, the IEEE Power Electronics Society, and the IEEE Industrial Electronics Society.
CNN-Based Macropixel-Level Up-Sampling for Plenoptic Image Coding

Plenoptic imaging has emerged as a representative approach for recording richer visual information from the real world. With the insertion of a microlens array, plenoptic cameras can record both angular and spatial information of a scene on a plenoptic image. However, the large amount of data calls for efficient coding techniques for both transmission and storage. In this paper, we propose a convolutional neural network (CNN)-based macropixel-level up-sampling method for plenoptic image coding. First, a macropixel-based down-sampling method, which performs the down-sampling in the units of macropixels, is developed for reducing the block resolution. Then, an up-sampling CNN is carefully designed to achieve resolution recovery and quality enhancement for down-sampled blocks. The experimental results show that the proposed method achieves considerable bitrate reduction compared with the HEVC/H.265 format SCC extension profile.
Method for the Detection of Mixed QPSK Signals Based on the Calculation of Fourth-Order Cumulants

In this paper we propose the method for the detection of Carrier-in-Carrier signals using QPSK modulations.The method is based on the calculation of fourth-order cumulants.In accordance with the methodology based on the Receiver Operating Characteristic (ROC) curve, a threshold value for the decision rule is established.It was found that the proposed method provides the correct detection of the sum of QPSK signals for a wide range of signal-to-noise ratios and also for the different bandwidths of mixed signals.The obtained results indicate the high efficiency of the proposed detection method.The advantage of the proposed detection method over the "radiuses" method is also shown.