Reviewerly/exHarmony huggingface dataset:
Invited Speaker 3 &amp; 4: Flight Dynamics Modelling and Control Motion and Task Planning of Small-sized Rotorcraft

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. An unmanned aerial vehicle (UAV) is an aircraft that is equipped with necessary data processing units, sensors, automatic control, and communications systems. It can perform autonomous flight missions without the interference of a human pilot. It is observed that autonomous aerial vehicles play major roles in certain tasks such as reconnaissance for search and rescue, environment monitoring, and security surveillance. Their mobility and sensing capabilities make them an ideal platform for exploration and monitoring tasks. The challenge is that they need to deal with various situations such as unexpected obstacles, collision and device failures. In this workshop, we aim to report some recent research and development in unmanned aerial systems technologies. Emphases are placed on mission management, motion planning and perception technologies that are capable of autonomously guiding, navigating and controlling unmanned systems in cluttered and GPS-denied environments. We will present the development of accurate flight dynamics models, which can assist flight control law design efficiently in terms of parameter tuning and performance evaluation. Based on the identified models, the model analysis and control design technologies will be introduced. To solve the challenges in unknown environments, we will also present the motion planning technologies for small-size rotorcraft, which can formulate an optimization problem by employing several approaches. Task planning involving logical and temporal constraints will also be covered in this workshop.
SISTEM PENERIMAAN MAHASISWA BARU BERBASIS SMS GATEWAY DI STIKES IMELDA MEDAN

various applications from SMS to data access introduced as technology develops, such as Remote Monitoring, M-banking, BBM, Information service / information retrieval, and other SMS applications. With the application of the facility SMS for data access applications, this SMS facility can used for accessing a school's educational information data. The problems that writers get in the College of Science Health (STIKes) Imelda Medan, that registration of new students must come to the location of registration of new student admissions. This is what drives the author to build an application New Student Admission System used in the process new student admission (PMB) at STIKes Imelda Medan, with utilizing SMS technology.
A Detailed Review on Focus Areas of Cyber Security

Security is one of the most important factor or point to be considered for everyone in their life.Providing security and breaking the security are two important points to be noted for everyone who can be using the gadgets in these days.The other important factor or the point to be considered was the cyber security.The attacks or the collection go data unethically without the knowledge of the user's being stolen.The cases or the issues being under this trap are being increased from time to time and day to day in those days.The data to be stolen will be used for various reasons.Some may be using for money collection and some are using it for anti-social elements and unethical issues.Hence, in the current article an attempt has been made to provide a detailed idea of the types of attacks and types of issues and types of malwares that can be attacked and also some suggestions were provided.The important issues to be focused in the case of cyber security issues are given a thought and the details are given a light on it.The readers of this article can get the basic knowledge about the cyber security issues and threats and the steps to be followed such that to escape from these sorts of attacks.Also a focus was given on various aspects such that to escape from these types of security attacks.
Implementation of LRD (Listen, Read, Discuss) Strategy Learning for Increasing Reading Skill and Student Achievement on Discussion Text Material in Class XII IIK 3 Madrasah Aliyah Negeri 1 Banjarmasin Academic Year 2019/2020

Has done research with the aim to increasing reading skill and student achievement on discussion text material through implementation of LRD strategy. This research design was used classroom action research which consisted two cycles with four phases; planning, action, evaluation and reflection. The subject were 37 students of class XII IIK-3 MAN 1 Banjarmasin. Data collection was used by test technique. Then, data were analyzed by quantitatively and qualitatively techniques. The research result showed that there was an increase in teacher’s activity from 31 at cycle I to 41 at cycle II, an increase in student’s activity from 23,50 at cycle I to 33 at cycle II, an increase in student’s achievement from 64,86 at cycle I to 83,91 at cycle II, an increase in student’s reading skill from 12,23 at cycle I to 15,73 at cycle II and student give good respon for learning which using LRD strategy.
Deep learning application for box-office evaluation of images

The possibility of application a convolutional neural network to assess the box-office effect of digital images is reviewed. We studied various conditions for sample preparation, optimizer algorithms, the number of pixels in the samples, the size of the training sample, color schemes, compression quality, and other photometric parameters in view of effect on training the neural network. Due to the proposed preliminary data preparation, the optimum of the architecture and hyperparameters of the neural network we achieved a classification accuracy of at least 98%.
A Fast Inter-view Mode Selection Algorithm Based on Video Array Processor

In the encoding depth map of 3D-HEVC, a fast block search algorithm is proposed to solve the problem of fixed block pattern of inter-view prediction algorithm. Variable block sizes mode is used to select prediction mode by comparing depth values, and then the algorithm is parallelly mapped to a video array processor. Compared with HTM16.2 software implementation, the average encoding time of the proposed algorithm is reduced by more than 100 times. In addition, the hardware resource usage is reduce by 27.21 % with similar processing speeds.
Cybersecurity Readiness: An Empirical Study of Effective Cybersecurity Practices for Industrial Control Systems

Industrial Control Systems (ICS) were primarily designed to operate air-gapped; however, the pressure for cost reduction and integration with business systems demanded the adoption of open systems architecture and ended up exposing ICS to threats which until then had been restricted only to the Information Technology (IT) systems. Although Cybersecurity Standards for Industrial Control Systems have been in place since the 1990s, providing the foundational knowledge required to Secure Industrial Control Systems; implementation failures and media disclosures revealed that organizations are not yet prepared to deploy Cybersecurity Controls effectively. This research has employed Design Science and interaction with experts on a qualitative manner exploring new insights and allowing to identify the main barriers for deploying and assessing industrial control systems. The results of this research include a list of Practices for effective deployment of Cybersecurity controls; list of Critical Success Factors for assessing ICS; and a list of most effective ways to report Cybersecurity risks to the board. This research counted with the participation of 200 practitioners and experts from Europe, Asia, Americas and Oceania.
A Parallel Uncertain Frequent Itemset Mining Algorithm with Spark

Frequent Itemset Mining (FIM) from large-scale databases has emerged as an important problem in the data mining and knowledge discovery research community. However, FIM suffers from three important limitations with the rapidly expanding of big data in all domains. First, it assumes that all items have the same importance. Second, it ignores the fact that data collected in a real-life environment is often inaccurate. Third, it is also a data-intensive and computation-intensive process which makes the FIM algorithm very time-consuming over large datasets. To address these issues, we propose a Parallel uncertain frequent itemset mining algorithm with spark (Pufim). Pufim firstly expresses item uncertainty by considering both the probability and weight, and calculates the maximum probability weight value of 1-items. Next, a distributed Pufim-tree structure is designed inspiring by FP-Tree for reducing the times of scanning the databases. Each node of Pufim-tree stores an item and its maximum probability weight value. Finally, experiments on publicly available UCI datasets demonstrate that Pufim achieves more prominent results than other related approaches across various metrics. In addition, the empirical study also shows Pufim has a good scalability
PERCEPTION OF INDONESIAN EFL TEACHER ON THE IMPLEMENTATION OF 2013 ENGLISH CURRICULUM

2013 Curriculum in Indonesia implemented since 2014-2015 , by the Ministry of Education and Culture of Republic of Indonesia. The reason is to build character education and improving student’s creative thinking are the main reason of the new curriculum development. research perception on the implementation of 2013 English curriculum and identified problem faced by teachers in implementing it. through qualitative design, the study was conducted at one senior high school in Serang. This study discloses EFL Indonesian Teacher perception 2013 curriculum, through interview teachers for in-depth analysis. The finding showed curriculum 2013 implemented, the teacher used specific syllabus and 3 workbook applied. Most of the teachers claim that English curriculum 2013 not easily to implemented, Difficulties in applying learning revolution, rubric of assessment, and using scientific approach to improve students English skill. The results confirm that process of 2013 curriculum from teacher perception and problem occurred by teacher. It also recommended that the teacher should put more effort on applying by joining any training, workshop and improve their creativity adapt to the advance of knowledge and technology.&#x0D;
Modern professional standards: impulse to self-development or "Vice" for the teacher?

Тенденции развития науки и образованияThus, taking into account the fact that interdisciplinary integration is a necessary process of modern education, we came to the conclusion that the active participation of students of a technical university in a scientific conference in a foreign language is an effective means of interdisciplinary integration in the educational sphere for continuous and holistic self-development of a future specialist in the technical field.In the training of future specialists in the technical field for a teacher, it is important to develop the ability of students to apply knowledge from different fields in a comprehensive manner, as well as the ability to transfer basic ideas from one field of science to another, which is also facilitated by students' research work and their active participation in scientific conferences [8].*** 1.
Establishment of Cleanliness Evaluation Method Using Ion Chromatography of Vacuum Equipment

We worked on the development of technology for evaluating trace amounts of water-soluble impurities using Ion Chromatography(IC). The conditions were determined by grasping the measurement environment and the eluted ions from the equipment used for evaluation. For the sampling tool, we selected wipes and swabs with less eluting ions to reduce the effect on measured values and decided the evaluation procedure. It was found that analysis at the ppb level is possible by verifying IC measurement variability and detection limit. After grasping the background of the sampling tool, an L-shaped sample was manufactured and its cleanliness was evaluated. It was found that the amount of ions in the sample was larger than the background, and the difference was largely depending on the shape of the evaluation part. Therefore, we were able to establish a cleanliness evaluation method for vacuum equipment using IC.
A novel method for secure sharing of PHR data in cloud

The Personal Health Record (PHR) is an emerging framework of health information exchange, which is often stored at cloud servers. But there are still various privacy problems as personal health information could be discovered to unauthorized people. To guarantee the patients control over to their own PHRs, it is a method to encrypt the PHRs before storing on cloud. But still issues such as risks of privacy, efficiency in key administration, flexible access and efficient user administration, have still remained the important challenges toward achieving better, cryptographically imposed data access control. ABE. This paper we proposes a methodology called SeSPHR for secure sharing of the PHRs in the cloud. The SeSPHR scheme ensures patient-centric control on the PHRs and preserves the confidentiality of the PHRs. The patients store the encrypted PHRs on the un-trusted cloud servers and selectively grant access to different types of users on different portions of the PHRs. A semi-trusted proxy called Setup and Re-encryption Server (SRS) is introduced to set up the public/private key pairs and to produce the re-encryption keys. Moreover, the methodology is secure against insider threats and also enforces a forward and backward access control. Furthermore, we formally analyze and verify the working of SeSPHR methodology through the High Level Petri Nets (HLPN).
Directions and mechanisms of optimization and development of rural ungraded schools in Russia

The issue of rural ungraded schools is rather relevant nowadays as they have a set of specific problems that are peculiar only for them.These problems are the reason for closing rural ungraded schools down.Main directions and mechanisms of optimization and development of rural ungraded schools are considered.Key words: rural ungraded schools, modernization of education system, implementation of learning services, remoteness, rural area, rural schoolchildren
FACE VALIDITY OF THE INSTITUTIONAL ENGLISH BASED ON THE COMMON EUROPEAN FRAME OF REFERENCE AT A PUBLIC UNIVERSITY IN VIETNAM

In language testing and assessment, face validity of a test is used by learners and is probably considered as the most commonly discussed type of test validity because it is primarily dealt with the question of whether a test measures what it is said to measure. Therefore, this study investigates students’ and English lecturers’ perceptions toward the Institutional English Test based on the Common European Frame of Reference administered in a public university in Vietnam. A survey of 103 students and 20 English lecturers from the Institutional Program was conducted. A questionnaire with 7 main concerns – weightage, time allocation, language skills, topics, question items, instructions and mark allocations was used to collect data. All responses were analyzed through descriptive statistics. The results showed that the Institutional English Test based on the Common European Frame of Reference had satisfactory face validity from both the students’ and lecturers’ opinions; consequently, the Institutional English Test is perceived as a good test to measure students’ English abilities.
Segmentation Mammograms based on Level Set for Detection of Breast Cancer as a Second Opinion Radiologist

Detection of signs of cancer using mammograms is a difficult job, this is due to a pathological disorder and noise structures that appear in the image.A mammogram is an X-ray image of the breast that can reveal abnormalities at an early stage.Problems in mammography screening is error a highrate.Early detection of cancer can reduce the death rate.Segmentation is used to separate objects from the background.Segmentation Mass separates the mass of the background and captures the contours of mass.This study has several stages: pre-processing, segmentation, feature extraction and classification.In improving the quality of the image in which it uses the operating CLAHE (Contrast Limited Adaptive Histogram Equalization).This is done in a pre-processing stage.Segmentation is the method of Binary and Gaussian Filtering Selective Regularized Level Set (SBGFRLS).From the test data, the average obtained by using segmentation SBGFRLS RMSE of 8.67, whereas with traditional segmentation level set at 11.4725.For the feature extraction method in this study using the Discrete Wavelet Transformation (DWT), grey Level Co-occurrence Matrix (GLCM), Gabor-Wavelet (GW).The next stage is the classification performed using the method of artificial neural network (ANN) -Lavenberg Marquard (LM).This research resulted in a classification test GW-JST, where the results are given for the better in tests using the training data.In addition, testing is also performed using the data-ANN GLCM testing, where the results of these tests are less stable.This problem is caused because the amount of data that diversification is applied on the size and structure of the mammary pathological.
CONSTRUCTION OF THE SCHOOL INFORMATICS COURSE BASED ON MOBILE AND CLOUD TECHNOLOGIES

The article discusses the change in the content and methods of teaching informatics in connection with the need for learners to study modern mobile and cloud technologies. The choice of a particular teaching method is associated with the specific content of the educational material and the didactic task that is solved during its development. Together, the methods form a system on the basis of which the informatics training methodology was built and tested that meets the requirements of the Federal State Educational Standard on the content and educational results achieved. The results of experimental research work are presented, confirming the possibility and expediency of studying mobile and cloud technologies within the framework of a school informatics course.
Commentary: Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling

Hardigan, Trevor MD, PhD; Kellner, Christopher MD; Oermann, Eric Karl MD Author Information
Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments

Exploring optimal big data analytics solutions to benefit various domains in decision making and problem solving becomes an ever-important research area. Big data Analytics-as-a-Service (AaaS) platforms offer online AaaS to various domains in a pay-as-you-go model. Big data analytics incurs expensive costs and takes lengthy processing times due to large-scale computing requirements. To tackle the cost and time challenges for big data analytics, we focus on proposing efficient and automatic resource management algorithms to maximize profits and minimize query times while guaranteeing Service Level Agreements (SLAs) on Quality of Service (QoS) requirements of queries. For query processing constrained by tight deadlines and limited budgets, our proposed algorithms enable data splitting and sampling based resource scheduling for parallel and approximate processing that significantly reduce data processing times and resource costs. We formulate the multi-objective resource scheduling problem to optimize profits for AaaS platforms while guaranteeing SLAs of queries with minimized response times. We design extensive experiments for algorithm performance evaluation, results show our proposed algorithms outperform state-of-the-art algorithms that maximize profits for AaaS platforms while improving admission rates and minimizing response times for queries. The scheduling algorithms support elastic and automatic large-scale resource configurations to minimize resource costs, and deliver timely, cost-effective, and reliable AaaS with SLA guarantees.
"The consequences of the pastpartum depression on breastfeeding"

Postpartum depression (PPD) is a major health problem, and in recent years its prevalence has been increasing.The physiological changes and mood disorders associated with pregnancy and the postnatal period are mainly due to a hormonal imbalance.Destabilizing the mother's hypothalamic pituitary adrenal (HPA) axis increases the susceptibility to depression, probably by significantly increasing plasma cortisol.Stress and inflammation play a key role in postpartum.Also, lactogenic hormones have antidepressant and anxiolytic effects, the low concentration of oxytocin in the perinatal period being a triggering factor of PPD.Natural nutrition, ideal for every newborn and infant, positively influences the mother's mental health and may reduce the risk of developing PPD, possibly by attenuating cortisol response to stress.The link between breastfeeding and PPD has not been thoroughly approached.PPD is associated with early termination of breastfeeding, while long-term breastfeeding reduced the risk of PPD.The mother's willingness to breastfeed, her confidence in the ability to breastfeed, her mental health during pregnancy, her family's support, and trained medical staff are some of the mediators that can contribute to the maintenance of natural nutrition in PPD.
Performance Optimization by Integrating Memoization and MPI_Info Object for Sieve of Prime Numbers

Sieving prime numbers is an idle example of linear time algorithm since the first sieve of this kind proposed by Eratosthenes.Afterward many sieving algorithm are proposed such as-: Sieve of Sundaram, Sieve of Atkin, Sieve of Sorenson and wheel factorization of prime number.In this paper we have proposed the integration of parallelism with these sieving algorithm.We have proposed MPI_Info object with memoization to avoid redundant steps during prime number processing and adding them into the sieve.Nevertheless this paper also demonstrates the MPI Binding with familiar/popular object oriented programming language such as-: C++ and Java.This binding done through the two different tools which includes OpenMPI and MPJ Express.
An Online Multi Player Strategy Game

The current Model "Online Multiplayer Strategy Game" is an online multiplayer strategy game which is developed as a web application.Each player starts the game as the leader of a small undeveloped village, surrounded by undeveloped resource fields.Creating military units will allow them to attack a person or defend from enemy attacks.The main motive of the game is to gather resources with villagers, developing village by constructing new buildings, creating as many troops as you can and destroying the enemy alliance with your alliance.The current Model is developed using mean stack.A standard java stack called MEAN is used for designing and building the dynamic web pages.Also the same software is used for MongoDB and other sources etc,.The current work sparks the player's creativity, develops problem solving skills, and improves one's planning, management and foresight.The game is portable and can be accessed from anywhere.