Reviewerly/exHarmony huggingface dataset:
Design of Filing System for police investigation report on the Forensic Document Unit of POLRI Forensic Laboratory Center

The Archiving system of Official Report of Inspection that runs on the Forensic Document Unit of POLRI Forensic Laboratory is particularly inefficient and effective as it still implements conventional filing systems. The recording of Official Report Documents is only in the general ledger. Based on these problems, the authors formulated How to create an archiving information system that is expected to accelerate the process of searching, packing, storing records in a safe place. The objective of the research is to produce Information Archiving Information Archive Information System on Forensic Document Forensic Unit of POLRI Forensic Laboratory Center for better, faster, accurate and efficient. With this system archive data processing  archives more centralized and can help search and printing files / data quickly without having to search the archives are stacked, can avoid the loss of original archives. This is due to a scan of the original file that can be seen on this system. Based on the results of the test show that the system built successfully build the police investigation report Archive database. Thus it can be concluded that Official Report of Inspection Archiving System has been successful and ready to be implemented.
Pengembangan Media Pembelajaran Materi Klasifikasi Hewan Untuk Siswa SMP

Junior High School students, in the learning process, are still manually utilizingprinted books to handle and learn, however this methodisineffective. In addition, students tend to be lazy to search and purchase books for grip in their study. Therefore, it needs an interesting learning medium to facilitate students in learning. Based on these problems, the researcher designed, built and testedon biology subjects in terms of the classification of animals throughapplications based learning medium that display attractive information with pictures and videos; thereforeit is able to attract interest and assist students in learning the biology subject, especially concerning the classification of animals. This learning mediumis created with the programming language PHP, Javascript, CSS, MySQL and AJAX. The method used is the waterfall method. The application of instructional media for classification of animals shows material about invertebrates and vertebrates as well as classifying and identifying based on their characteristics. And it is hoped that this application will help junior secondary students to improve their understanding of learning animals classification so that students can accomplish the minimum criteriaof completeness values
THE CHALLENGES OF SOCIAL WORKERS IN THE AREA OF EDUCATION, SPORTS AND LEISURE

In strategically and tactically studying the class struggle, we must ask ourselves what does the concrete struggleagainst the capitalist system mean in the current conjuncture? What system is this? What imposed mankind? How do youmaintain your survival? How was the regulation of Physical Education important for the struggle of these professionals? Howimportant is the CONFEF / CREF system to ensure the labor market and ensure security in serving the society? Education ascultural policy for the broad masses is the order of the day. It is up to us to fulfill our tasks as organic intellectuals and culturalactivists for the construction of socialism because, as the studies of Marx and Engels on French Socialism, German Philosophyand the English Economy show, this will not be the result of change of beliefs in a society. Through the awareness of individuals asthe product of contact with them, will fulfill the social worker, the role of agent of change.
LABORATORY STUDY ON THE OPTIMIZATION OF IPLT SUMUR BATU DEWATERING UNIT USING DIFFERENT COAGULANTS

&lt;p&gt;&lt;strong&gt;Aim:&lt;/strong&gt; The aim of this study is to determine the most effective type and concentration of coagulant to reduce TDS, TSS, BOD and COD Sumur Batu Fecal Treatment Plant or &lt;em&gt;Instalasi Pengolahan Lumpur Tinja&lt;/em&gt; (IPLT) Sumur Batu. &lt;strong&gt;Methodology and Results&lt;/strong&gt;: Using the jar test method at a laboratory scale, the types of coagulants of PAC, Alum and FeSO4 with varied concentration of 70 mg/L, 137.5 mg/L and 200 mg/L were used. Additionally, Polyacrylamide was also used in the study with concentration varied between 0.1 mg/L, 0.6 mg/L, and 1.1 mg/L adjusted to the concentration in the field. &lt;strong&gt;Conclusion, significance and impact study: &lt;/strong&gt;Results showed that Alum with a concentration of 200 mg/L was the most effective coagulant, with removal efficiency for each parameter is as follows TDS = 82.17%, TSS = 67.69%, BOD = 60.16%, and COD = 59.76%.&lt;/p&gt;
Entailment Functions and Reasoning Under Inconsistency

This study proposes an intuitive and flexible framework for defining a large variety of paraconsistent entailment relations. We first introduce a notion named entailment function (EF) that is used for associating a value called entailment degree to every pair of belief base and formula. Then, we introduce our EF-based framework for defining paraconsistent entailment relations. Finally, we discuss a connection between the notion of entailment function and that of inconsistency measure.
Constacyclic Codes of Arbitrary Length over $F_{q}+uF_{q}+cdots +u^{e-1}F_{q}$

In this article, we shall study the structure of $(a+bu)-$constacyclic codes of arbitrary length over the ring$R=F_{q}+uF_{q}+cdots +u^{e-1}F_{q}$, where $u^{e}=0$, $q$ is a power of a prime number $p$ and $a,b$ are non-zero elements of $F_{q}$. Also we shall find a minimal spanning set for these codes.  %, and completely determine the structure of these codes. For a constacyclic code $C$ we shall determine its minimum Hamming distance with some properties of $Tor(C)$ as an $a-$constacyclic code over $F_{q}$.
A novel image registration method based on geometrical outlier removal

The accuracy of two sets of feature points is significant to remote sensing image registration based on feature matching. This paper proposes a novel image registration method based on geometrical outlier removal. The purpose of this algorithm is to eliminate most outliers and preserve as much inliers as possible. We formulate the outlier elimination method into a mathematical model of optimization, the geometric relationship of feature points is the constraint, and derive a simple closed-form solution with linear time and linear space complexities. This algorithm is divided into three key steps. First two remote sensing images are registered by scale-invariant feature transform(SIFT) algorithm. The initial feature points are generated by this step. Then the mathematical model is built and the optimal solution is calculated based on the initial feature points. Last we compare two recent registration results based on the optimal solution, and determine if it is necessary to update the initial feature points and recalculate. The experiment results demonstrate the accuracy and robustness of the proposed algorithm.
An Automatic Text Summarization: A Systematic Review

The 21st century has become a century of information overload, where in fact information related to even one topic (due to its huge volume) takes a lot of time to manually summarize it into few lines. Thus, in order to address this problem, Automatic Text Summarization methods have been developed. Generally, there are two approaches that are currently being used in practice: Extractive and Abstractive methods. In this paper, we have reviewed papers from IEEE and ACM libraries those related to Automatic Text Summarization for the English language.
YAZILIM PROJELERİNDE KALİTENİN ARTIRILMASI: TMMi

Abstract Software testing is one of the most important steps in the software development process. In particular, the determination of the quality of the product at the end of the software development process is provided by software testing. Despite its importance, the testing process in the software industry is often ignored due to lack of planning and resources. In recent years, various models such as CMM, CMMI, ISO 15504 have emerged for the purpose of providing quality certification in software, improving software development processes and determining capability. There are process areas such as verification and validation related to software testing processes in these models. However, these existing process areas do not contain sufficient information about the details of the testing processes in the software process. The TMMi model has emerged to complement the lack of software quality models related to testing processes. In this study, it is aimed to inform the companies who want to improve their test processes in quality software development about TMMi. In addition, it is also discussed in the study what software companies should pay attention to improve the maturity levels of the test processes they have already applied.
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models.

In a variety of online settings involving interaction with end-users it is critical for the systems to adapt to changes in user preferences. User preferences on items tend to change over time due to a variety of factors such as change in context, the task being performed, or other short-term or long-term external factors. Recommender systems need to be able to capture these dynamics in user preferences in order to remain tuned to the most current interests of users. In this work we present a recommendation framework which takes into account the dynamics of user preferences. We propose an approach based on Hidden Markov Models (HMM) to identify change-points in the sequence of user interactions which reflect significant changes in preference according to the sequential behavior of all the users in the data. The proposed framework leverages the identified change points to generate recommendations using a sequence-aware non-negative matrix factorization model. We empirically demonstrate the effectiveness of the HMM-based change detection method as compared to standard baseline methods. Additionally, we evaluate the performance of the proposed recommendation method and show that it compares favorably to state-of-the-art sequence-aware recommendation models.
New To Blogging: 8 Big Blogging Mistakes (Never Make These!)

When you’re just getting your blog up and running, it’s easy to get caught up in the excitement of just launching a blog and rush to get going – so ...
What is Meant by Emotional Expression?

This chapter sets out the aims and objectives of Part 2 of this book, which is to take a closer look at a phenomenon that is almost universally acknowledged across the disciplines — namely, that music is heard as expressive of emotions by listeners. It addresses the following questions: Why is music perceived as expressive of emotions? Can musicians actually convey emotions to listeners? Which emotions does music express? How are the different emotions expressed? What is the role of the performer? Are there cross-cultural similarities in how the emotions are expressed? How is emotional expression related to the human voice? Can a computer express emotions? How is music able to convey complex emotions? Why are some authors critical of regarding music as the expression of emotions?
UPAYA PENINGKATKAN MENULIS TEKS EKSPOSISI MENGGUNAKAN METODE DISCOVERY PADA KELAS VIII SMP

The purpose of this research is to find out the increase in student writing learning outcomes in the exposition text material with the Discovery method in class VIII SMP. The research method used is an experimental method with a quantitative form. Data sources were 25 junior high school students. The data collection tool used is a learning implementation plan (RPP), observation sheet and test sheet. The design that the researchers used was pretest-posttes one group design. Data analysis in general concluded that there was an increase in student writing in the text exposition material with a difference in value of 23. Based on the results of class VIII tests before being treated, the average score was 53. get treatment with an average score of 76. The results of this research can be concluded, by applying the Discovery method can improve students' writing skills in exposition text material
EFFECTIVENESS OF THE PSYCHOORGANIC ANALYSIS IN THE TRAIT ANXIETY REDUCTION

The aim of study is to determine the possibility to reduce the level of anxiety as personality trait in the time of 22- month-long psychotherapeutic and educational group with using concepts of psychoorganic analysis – a relatively new branch of psychotherapy. The following concepts are used. Three relation forms: the unary form include a symbiotic relation level (undifferentiated sense of existence), the dual form is the binary and dialogic relation (“I am –YOU are”), the ternary form means the relation what is including a structure and the presence of the THIRD. The analysis and the evolution of three forms help to make sense of obstructive psychic occurrences in person. These occurrences are basis for life contracts, which have been protectively, but become troublesome in the lifetime. An activation of a micro–macro regulation is important in order the transformation of these occurrences. The evolution of three forms are the background for biodynamic work and the appropriate transformative intervention. The work of groups (36 participants in 2 groups) is managed from 8 psychotherapists and it is done following set instructions. Changes were evaluated 6 times with State-Trait Anxiety Inventory. The results show statistically significant reduction of the level of the trait anxiety of STAI-Y (p&lt;.05) related to the group program and dynamic.
How are Music and Emotion Links Studied?

This chapter considers ways to establish links between musical features and specific emotions. The first step is usually to conduct an experiment, in which listeners rate the emotional expression of different excerpts of music — either music from commercial recordings or pieces created specifically for the study. The next step is to extract musical features associated with emotion categories. This can be done in four ways: analyzing the musical score of the pieces; relying on experts, such as music theorists and musicians, asking them to rate various aspects of the musical structure; measuring acoustic parameters of the music (e.g. sound level, timing, frequency spectrum of the timbre), using dedicated computer software; and manipulating specific musical features in synthesized (computerized) performances, to evaluate how they influence a listener's judgments of emotional expression.
An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks

This work contributes an optimization framework in the context of structured interactions between an agent playing the role of a 'provider' and a human 'receiver'. Examples of provider/receiver interactions of interest include ones between occupational therapist and patient, or teacher and student. We specifically consider tasks where the provider agent needs to plan a sequence of actions with a fixed horizon, where actions are organized along a hierarchy with increasing probabilities of success and associated costs. The goal of the provider is to achieve a success with the lowest expected cost possible. In our application domains, a success may be for instance eliciting a desired behavior or a correct response from the receiver. We present a linear-time optimal planning algorithm that generates cost-optimal sequences for given action parameters. We also provide proofs for a number of properties of optimal solutions that align with typical human provider strategies. Finally, we instantiate our general formulation in the context of robot-assisted therapy tasks for children with Autism Spectrum Disorders (ASD). In this context, we present methods for determining action parameters, namely (1) an online survey with experts for determining action costs, and (2) a probabilistic model of child response based on data collected in a real child-robot interaction scenario. Our contributions may unlock increased levels of adaptivity for agents introduced in a variety of assistive contexts.
Development and Applicability Exploration of ‘Making a Pet IoT Devices’ Hands-on Activity Task for Robot Education in Elementary Schools: Focused on the 2015 Revised Practical Arts Curriculum

이 연구의 목적은 2015 개정 실과 교육과정 중심의 초등 로봇 교육을 위한 ‘반려동물 IoT 장치 만들기’ 체험활동 과제를 개발하고 이에 대한 현장 적용 가능성을 탐색하는데 있다. 이를 위하여 2015 개정 실과 교육과정의 로봇 관련 내용 요소를 분석하였으며 이에 적합한 주제를 선정하고 구체적인 체험활동 과제를 개발하였다. 개발한 체험활동 과제는 내용 전문가 및 현장 전문가를 통해 타당성을 검토 받았으며 현직 초등 교사 교육을 통해 적용 가능성을 탐색하였다. 이 연구의 결과는 다음과 같다. 첫째, 2015 개정 실과 교육과정을 중심으로 한 로봇 체험활동 과제는 ‘반려동물 IoT 장치 만들기’이며 문제기반학습으로 설계되었다. 둘째, 체험활동의 과제는 문제의 이해 0.5차시, 아이디어 탐색 및 개발 1차시, 실현 3.5차시, 평가 1차시 총 6차시로 구성된다. 학습자 수준에 따라 부분적으로 시간의 확장 및 축소 등의 수정이 가능하다. 셋째, 체험활동을 위한 교사용 자료로서 교수·학습과정안을, 학생용 자료로서 문제해결활동 단계에 따라 구성된 학생활동지를 개발하였다. 넷째, 개발된 체험활동 과제를 현장 교사 교육에 적용한 결과 긍정적인 반응과 평균이상의 평가 점수를 받았으며 실과 교과의 성격인 생활교육, 노작교육, 통합교육으로서의 가치에 대한 인식에서도 평균이상의 높은 점수를 받아 적용 가능성을 확인할 수 있었다. 1인 가구의 증가, 저 출산과 고령화로 인하여 반려동물 산업이 급성장하고 있는 가운데 개발된 체험활동 과제는 현실 세계를 반영했다는 데 큰 의미가 있다. 또한, ‘로봇’이 독립된 내용 요소로 포함된 2015 개정 실과 교육과정이 적용이 되는 시점에서 개발되어 시의 적절한 연구라고 할 수 있다.The purpose of this study is to develop a‘Making a pet IoT devices’hands-on activity task for robot education in the 2015 revised Practical Arts curriculum of elementary schools and explore its applicability to the field. Accordingly, we analyzed robot-related contents in the 2015 revised Practical Arts curriculum, selected a suitable theme, and developed a hands-on activity task, which were reviewed by contents and field experts. This task’s applicability was examined through a workshop for elementary teachers. The results of this study are as follows. First, this hands-on activity task focused on the 2015 revised Practical Arts curriculum is called‘Making a pet IoT devices,’and it is designed to be a problem-based learning. Second, the hands-on activity task is composed of half an hour of understanding a problem, an hour of research and development for ideas, 3.5 hours of realization, and an hour of evaluation. Depending on the level of the learner, it is possible to partially modify the schedule through the expansion and contraction of time slots. Third, this study developed a teaching and learning plan for teachers, as well as students material based on the problem-solving activity stage. Fourth, we applied the developed hands-on activity task in the teachers workshop and received positive responses. The task was also thought to represent the characteristics of the living, laborious work, and integrated education. As the pet industry is experiencing rapid growth due to the increase in single Households, low fertility rates, and aging population, the task has great significance as a hands-on activity reflecting the real world. Additionally, the 2015 revised Practice Arts curriculum&#8212;including an independent “robot” content element&#8212; has been applied since 2019 and is a task developed at that time, so this study is very timely.
Design of a cloud-based geo-location service in a disaster incident command system (Conference Presentation)

In the aftermath of a disaster, it is usually difficult to communicate and coordinate the activities of the various emergency incident responders responsible for triage at multiple disaster incident scenes. Incident scenes are often spread out across a large geo-physical area, and emergency response usually occurs with limited manpower. Thus, the challenge is to have rapid setup of a disaster incident command system (ICS) and integration of disaster wide real-time location and status information across the various staff, patients and incidents to provide a cohesive picture across the disaster incident scenes. In this paper, we address these concerns through a novel design of a cloud based distributed geo-location service for a next-generation ICS. We describe software services that integrate wireless mesh elements, geo-location, messaging, incident and responder information management and video streaming services. The aim of these services design is to deploy them in austere physical environments, where existing communication channels may be unavailable due to disaster impact. Our design fits within a hierarchical cloud-fog platform with a suite of visual and geolocation applications that provides a centralized view of the various incidents in a disaster scenario. The platform supports the ability to integrate variants of user interface dashboards and IoT devices (e.g., heads-up displays for real-time two-way communication, virtual beacons to collect contextual geolocation information), as well as response protocols to guide an emergency responder’s actions by providing a context related checklist to ensure the right procedures were followed. The contextual information includes the present and previous locations of patients and staff, a video stream of a staff member’s camera, the location and details of the various incidents across the disaster scene, and the statuses of the patients. Thus, the platform has the potential to improve situational awareness to prioritize triage resources, reduce the frequency of human error in incident response, leverage manpower effectively at incident sites, and improve overall triage accuracy. We conclude the paper with a demonstration of our implementation that simulates a real-time dynamic map marker functionality during management of several incidents and provides benefits for: (a) medical triage, and (b) protest crowd incident management.
Deadversarial multiverse network

This paper presents the concept of a generic deep learning architecture in order to robust deep learning network, especially computer vision network from adversarial examples. The network composed from Deadvarserial decoder that takes images and try to cancel the influence of the attack from those who are infected. Later, pass them to the chosen model that robust by a multiverse layers that try to extend the dimension of the model in order to defend the attack, but still keep the training time less as possible unlike the ensemble method. The deadverserial multiverse architecture can be applied to any model in retrospect.
Cloud cost management: An empirical view

Cloud computing provides a mechanism to access, store and retrieve the applications and data online. The word cloud refers to a network or the internet. Nowadays, many IT Companies are adopting Cloud Computing. In Cloud, computing resources are made available to the users easily, quickly and on a pay-per usage basis. In this paper, an attempt has been made to analyze the cost involved in accessing the paid services of cloud and show how the service broker policy of retrieving data from the closest datacenter and retrieving data after optimized response time of the datacenters. After a close analysis, we find that retrieving data from the nearest datacenter is more cost effective than optimized response time data retrieval of data from datacenters.