Reviewerly/exHarmony huggingface dataset:
Kriminālprocesa atjaunošana sakarā ar jaunatklātiem apstākļiem – aktuālās problēmas

The renewal of criminal proceedings in connection with newly disclosed circumstances is one of the exceptions to the principle of res judicata, according to which no one has the right to review the final decision in order to achieve a new trial.The actual practical problems associated with renewal of criminal proceedings in connection with newly disclosed circumstances are analyzed in this scientific paper.The scientific paper addresses four major issues of concern -official, who directs the proceedings for investigation of newly disclosed circumstances; the duty of a public prosecutor to carry out the investigation of newly disclosed circumstances; procedure in cases when criminal proceedings have been renewed in relation to newly disclosed circumstances and the question of suspension of the execution of rulings.The author also expresses his opinion regarding the proper application of the norms contained in Chapter 62 of Criminal Procedure Law.
MENTORING STYLES AND THEIR CONTRIBUTION TO PEDAGOGICAL AND DIDACTIC COMPETENCE DEVELOPMENT

The current educational theoretical and practical discourse intensively highlights the issue of the relationship between the mentor and mentee, in other words, the style of mentoring. The issue of influence of mentoring style to the development of mentees’ pedagogical and didactic competencies is still not sufficiently investigated. The purpose of the study is to explore mentoring styles and examine their contribution to the development of pedagogical didactic competencies of mentees. Reflective reports of student teachers (N=10) who had their internship practice in secondary schools, were analyzed using content (deductive) analysis method. The findings suggest that emerging mentoring style depends on the age and the previous pedagogical experience of mentee’s: young and having no pedagogical practice mentees tend to follow the traditional-hierarchical mentoring relationship, while older and with some pedagogical experience mentees prefer to practice reciprocal relationship with their mentors. Anyway, in both highlighted cases, the emphasis of mentors is placed on the development of didactical competencies rather than pedagogical. The prevailing mentor – mentee relationship in secondary education and implications for the professional identity of student teachers are discussed as well.
Fault Big Data Analysis Tool based on Deep Learning

Software managers can obtain useful information from many fault data sets recorded on bug tracking systems (BTS).However, it is difficult to find helpful measures for software reliability, maintainability, and performability, because the data collected on the BTS are mixed with qualitative and quantitative ones.This paper discusses the methods of reliability, maintainability, and performability assessment by deep learning for big data in terms of software faults.Specifically, we implement the reliability, maintainability, and performability analysis tool discussed in our method by using the latest programing technology.Moreover, we show several performance examples of the implemented application software by using the fault big data observed in the practical projects.
MANAJEMEN HUMAS UNTUK MENINGKATKAN KREDIBILITAS SEKOLAH

Publicâ€™s recognition is one of the method to increase the credibility of a school and by using this term, the schoolâ€™s publication has become an urgent matter. The purpose of this community service is to give assistance to the public relation of SMK 9 Wagir (Vocational High School 3 Wagir) to elevate the schoolâ€™s credibility by designing a website for the school to introduce the institution to the public. The method used in elevating the schoolâ€™s credibility involves: (1) conducting workshop in public relation management, (2) conducting website management workshop, (3) doing website designing assistance, (4) evaluating the whole process. The product as a result expected from this community service is a ready to access website to introduce the institution to the public and journal article related to the matter.
Model of Automatic Classification and Localization of Images

The work is devoted to the identification of images in pictures, which is performed as a result of the classification and localization procedures. Analysis of models, methods and algorithms has shown that for solving the set task it is preferable to use machine learning, an artificial neural network and a genetic algorithm. The architecture of a convolutional artificial neural network is proposed. It can solve both the problem of classification and the problem of localizing images. First the network is trained, then a class is determined for the image fed to its input. Objects are localized in the image at the final stage of operations of the convolutional neural network. For this, the output values of the penultimate layer of the model are analyzed, after which the layers are traversed in the reverse order. Its goal is to find the regions with the highest response on the source image. The combined model showed acceptable results both in classification and in localization of objects. All parameters for the network are determined automatically using a genetic algorithm. Further improvement of the proposed model results will be performed by implementing distributed computing on it.
An insight into the evolution of rotation operator to quaternion’s. Computer graphics perspective

Rotations are an integral part of various computational techniques and mechanics.The objective in this paper is twofold: first to have a classical insight into the history of quaternions, a problem that Hamilton faced for over a decade and secondly to look at into its applications from computer graphics perspective.Thorough revision of quaternion algebra and its use case as a rotation operator has been presented.A quaternion simulation algorithm has been written and practiced to generate simulation results.Results show that though quaternions supersede Euler angles technically but are tricky to use and control for e.g. when same quaternion is applied on a different vector axis, the particle is not able to reach its initial position and an incomplete rotation effect has been recorded and observed.
SUSTAINING BUSINESSES IN A GLOBAL TURBULENT ENVIRONMENT: THE ROLE OF INFORMATION SHARING

This study aims to investigate the impact of technology capability and logistics integration commitment on information sharing as well as global supply chain competitiveness. Data were collected from 177 local manufacturing firms that are competing in global markets. The findings indicate that logistics integration commitment is significantly related with information sharing and global supply chain competitiveness. This study however, fails to establish a relationship between technology capability and global supply chain competitiveness. The findings also highlight information sharing as a mediator.
An Analysis of Isomorphic and Decoupling Phenomena of Lifelong Education Institution - Focus on Organizations of Lifelong Education in Chuncheon City

본 연구의 목적은 다양한 조직적 특징과 여건을 가진 평생교육 기관들이 평생교육 기관운영 상나타나는 동형화와 탈동형화 현상에 대한 탐색이다. 평생교육 기관을 설립 주체별, 교육 핵심성을 고려한 12곳의 기관을 선정하여 사례연구로 진행하였다. 연구결과 첫째, 동형화 현상은 9곳의 기관 에서 기능별 조직화 현상이 나타났다. 평생교육 프로그램은 문화예술 분야에 집중, 외부기금개발 공모사업 참여, 선도기관 벤치마킹, 성공한 프로그램 모방과 기존 강사를 대상으로 공모가 확대되는 현상이 나타나고 있었다. 기관의 불분명한 포지셔닝으로 잠재적 학습자를 대상으로 마케팅을 진행하며, 정량적으로 성과관리를 통해 동형화 현상이 나타났다. 둘째, 탈동형화 현상은 평생교육 프로그램을 특성화 프로그램을 운영하고 기관의 목적사업을 개발하고 있다. 표적학습자를 대상으로 분명한 포지셔닝을 수립한 마케팅을 하고 있었으며, 정성적 성과관리를 하는 것으로 나타났다. 셋째, 동형화를 촉진하는 원인으로 강제적 동형화는 정책과 제도, 학습자의 기대이다. 모방적 과정은 평생교육 기관의 조직목표의 모호성과 환경의 불확실성, 핵심기술의 불명확성에 의한 것으로 나타 났다. 규범적 압력은 평생교육사 전문화와 네트워크와 교류가 확대되지 못해 동형화의 직접적인 원인으로 보기에는 미흡하였다. 본 연구는 평생교육 기관에서 나타나고 있는 동형화와 탈동형화 현상을 신제도주의의 사회학적 제도주의 관점에서 분석하였다는 의의가 있다.The purpose of this study is to investigate the isomorphism and de-isomorphism of lifelong educational institutes with various organizational characteristics and conditions. This study conducted case studies in 12 institutes from the viewpoint of sociological institutionalism of new institutionalism. Results are as follows: First, the isomorphic phenomenon was observed in functional organizing phenomenon, programs concentrated on the field of culture and arts, external fund-raising project participation, benchmarking of leading institutions, imitation of successful programs, and increasing head hunting for famous lecturers. Second, isomorphism was found in marketing with an unclear positioning of the organization and practice of quantitative performance management. Third, causes of isomorphism can be categorized into three; those for forced isomorphism are policy, system, and learners expectation; those for imitative process are the ambiguity of the organizational goals, the uncertainties of the environment and core technologies; those for normative pressures were not found. Fourth, the de-isomorphism was found in the operation of the specialization program, the development of the target business, the qualitative performance management.
Bring Your Own Device Adoption Readiness in a South African University

With the rapid evolution of information and communication technologies, particularly the radical growth in mobile computing, mobile learning (m-learning) offers incredible opportunities, especially...
Method for Assessing the Distance to the Underwater Object of the Curvature of the Wave Front in the Conditions of Exposure to Correlated Noise

The article presents the results of the substantiation of a new method for estimating the distance to any underwater object or physical phenomenon based on the curvature of the wave front in terms of the impact on the measuring sonar system of correlated noise. At the same time, the main task of space-time signal processing is the analysis of the resulting wave field to determine the position of a spatial object, which is represented by a point model of a reflecting (radiating) object, which creates a spherical wave in a homogeneous unlimited medium. Such a model is fundamental for analyzing signals from real sea objects, since in many cases these objects are well described by the model in the form of a certain set of “bright” points. In this case, the curvature of the wave front can be used to determine the distance to the object when it is in the Fresnel zone relative to the receiving antenna array, which allows for independent processing along the time and spatial coordinates
Supporting Student Success: E-books as Course Materials

Libraries have traditionally avoided purchasing textbooks due to factors like a limited collection development budget and the frequency of new textbook editions. However, as the price of textbooks continues to rise, some libraries have reconsidered such policies and initiated programs to help students combat the escalating cost of higher education. Louisiana State University (LSU) is the state flagship with an enrollment of over 30,000 students. Since the fall semester of 2014, LSU Libraries has been providing and promoting access to e-textbooks using the licensed collection. This is done by identifying and purchasing e-books that are used as course materials, then making these available to students through the Libraries’ website and the university’s learning management system. This article addresses the approach undertaken to use licensed e-books for course use, highlights promotional strategies, and provides an overview of the assessments utilized to improve the program. These strategies can be applied by other libraries to initiate similar programs.
Financial Management for Libraries

This book began from a series of regional workshops which the author led for the Library Leadership and Management Association (LLAMA) of ALA. The author is well-known and established as an excelle...
A Study on Personal Information Protection System for Big Data Utilization in Industrial Sector

4차 산업혁명 시대에 사물인터넷과 모바일을 통해 수집된 다양한 정보를 이용해 공공 및 민간영역의 새로운 비즈니스모델을 위한 빅데이터 산업이 각광을 받고 있다. 하지만, 개인정보 비식별화 조치를 통한 빅데이터 통합 및 분석를 수행하면서 개인프 라이버시가 노출될 위험성을 여전히 가지고 있다. 최근 개인정보를 노출하지 않고 데이터의 가치를 유지하는 방법에 대한 연구가 진행되고 있다. 본 논문에서는 빅데이터산업 활성화를 위해 의료, 농업 등 산업별로 개인정보 보호체계가 필요함을 강조하였다. 비식별화된 개인정보의 적정성 평가 기준을 개인 민감정보 중심의 의료분야는 k-익명성 최소값을 일반적인 산업분야의 평균값 보다 높은 5 이상으로 설정해야하며, 농업분야에서는 개인별 민감정보범위에 개인소유 반려견이나 농지 정보를 포함시켜서, 산업별 특성에 맞게 개인정보 보호체계를 보완해야하며, 해당 산업의 특정지역을 대상으로 먼저 실증을 거처 전국적으로 확산하는 것을 제안한다.In the era of the 4th industrial revolution, the big data industry is gathering attention for new business models in the public and private sectors by utilizing various information collected through the internet and mobile. However, although the big data integration and analysis are performed with de-identification techniques, there is still a risk that personal privacy can be exposed. Recently, there are many studies to invent effective methods to maintain the value of data without disclosing personal information. In this paper, a personal information protection system is investigated to boost big data utilization in industrial sectors, such as healthcare and agriculture. The criteria for evaluating the de-identification adequacy of personal information and the protection scope of personal information should be differently applied for each industry. In the field of personal sensitive information-oriented healthcare sector, the minimum value of k-anonymity should be set to 5 or more, which is the average value of other industrial sectors. In agricultural sector, it suggests the inclusion of companion dogs or farmland information as sensitive information. Also, it is desirable to apply the demonstration steps to each region-specific industry.
AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION

Abstract. This paper introduces a novel benchmarking tool for measuring the robustness of existing mosaicing algorithms in presence of a given set of disturbances. The process combines a set of partially overlapping images into a wide-view result used to represent UAV image series and orthophotography. Geometrical misalignements caused by perspective error may lead to some unpredictable artifacts and phantom effects in the mosaics. A very few solutions measure their immunity to known distortions and mainly focus on registration accuracy measurement. Only limited attention was given to characterize the response of the actual image fusion algorithms and their capacity to properly preserve content geometries. In this paper, we also introduce a new fidelity metric assessing the mosaicing response to a disturbance of a given extent used as prior information. The metric helps to better define the use cases fulfilling aerial imaging requirements.
DIGITAL ECONOMY - PRESENT AND FUTURE TRENDS

With the advancements in technology there is a significant growth in our societies. The phenomenon known as digitalization brought us the possibilities to develop the digital economy as a new trend with huge possibilities. Digitalization is the key factor to successful business and production of new goods. In this paper we will include some of the most crucial aspects of the digital economy and its key roles in the new era of digital products and internet.
A Cloud-based Student’ Project Supervision and Allocation System for Nigeria Tertiary Institutions

It is a known fact that Nigeria's tertiary institutions are stereotyped with the challenge of not adapting quickly to new technological innovations.The research created a system for supervising project of graduating students in Nigeria's tertiary institutions using cloud technology.Cloud based Technology is a service geared towards providing all round access to a safe and centralized database.Therefore, the inability of the institutions to quickly embrace the cloud based administrations stops the institutions from unlocking it's potentials that are abound in cloud technology.It also created time limit challenge to result delivering.Based on this, a system of cloud based technology is been built for mobility, easy access and faster delivery output for students project supervision.In an attempt to develop the system, a methodology was employed which is Agile development model.The model was chosen due to its peculiar advantage over other software development models.Also some specialized tools were employed in achieving the system result such as, Input Definition, Output Definition, Data Cement Dictionary and System Flowchart.In the expected result: the system will give supervisors access to supervise their students from any point as the system built and can be downloaded as an app.The supervisors will be able to supervise with the aid of Audio link while the student and supervisors can do intermittently check of their work at any point in time through the periodic plagiarism detection link framework.External Examiners, as well as can search and retrieval of project topics through project allocation roaster.
ANALYTICS: CURRENT TRENDS AND CNALLENGES

The goal of the work.The article covers modern views on information and analytical activity, new tendencies, challenges, threats that arise in the period of changes, modification of the analyst, and its adaptation to them. The methodology of the research is to apply the methods of description, generalization and system approach. Scientific novelty of the work consists in generalization and systematization of modern tendencies and innovative technologies in the information-analytical activity within the limits of one research. Conclusions. The far-incomplete list of changes and trends that are firmly entrenched in the life and professional activity of modern analyst / manager is proposed. A new, continuous, on-line, operational analysis will quickly conquer the living space, forcing information professionals to adapt to new conditions at all times.
Mobile Innovative Transformational Ecosystem of Management of Humane Technological Society

Integrative Journal of Conference Proceedings Mobile Innovative Transformational Ecosystem of Management of Humane Technological Society Evgeniy Bryndin* International American Academy of Education, Russia *Corresponding author:Evgeniy Bryndin, International American Academy of Education, Russia Submission: May 16, 2019;Published: May 23, 2019 Volume1 Issue2May, 2019
Analisis Jaringan 3-Dimensi Untuk Penentuan Rute Evakuasi di Gedung Bertingkat

Accessibility of evacuation routes in the multi-storey building is an important thing to notice. The number of floors and rooms in multi-storey buildings which are too many often makes the building users have difficulty, especially for users who do not know the ins and outs of the building well. Not only the difficulty in finding evacuation routes to exit the building quickly in emergency times, but also to find a certain room during normal times. Nowadays, the Network Analysis capabilities in Geographic Information System (GIS) have become more reliable, even able to accommodate 3 Dimensional aspect (3D) which is often known as 3D Network Analysis. Therefore, this research intends to apply 3D Network Analysis for developing the navigation and evacuation management system in the KLMB (Klinik Lingkungan dan Mitigasi Bencana) Building Faculty of Geography UGM which has 6 floors. Generally, the implementation of this research can be divided into 4 main stages, namely Data Collection Stage, 3D Network Dataset Preparation Stage, 3D Network Analysis Implementation Stage, and Test &amp; Evaluation Stage. Through application of the 3D Network Analysis, this research successfully obtained a navigation and evacuation management system in the ArcScene (ArcGIS) software environment which is quite effective and easy to use to help navigation and determination of the fastest evacuation route in the KLMB building. This system can also be used to help the evacuation simulation as a form of disaster mitigation in the KLMB Building.
On the Effectiveness of Control-Flow Integrity Against Modern Attack Techniques

Memory error vulnerabilities are still widely exploited by attackers despite the various protections developed. Attackers have adopted new strategies to successfully exploit well-known memory errors bypassing mature protection techniques such us the NX, SSP, and ASLR. Those attacks compromise the execution flow to gain control over the target successfully. Control-flow Integrity (CFI) is a protection technique that aims to eradicate memory error exploitation by ensuring that the instruction pointer (IP) of a running program cannot be controlled by a malicious attacker. In this paper, we assess the effectiveness of 14 CFI techniques against the most popular exploitation techniques including code reuse attacks, return-to-user, return-to-libc and replay attacks. Surveys are conducted to classify those 14 CFI techniques based on the security robustness and implementation feasibility. Our study indicates that the majority of the CFI techniques are primarily focused on restricting indirect branch instructions and cannot prevent all forms of vulnerability exploitation. Moreover, we show that the overhead and implementation requirement make some CFI techniques impractical. We conclude that the effort required to have those techniques in real systems, the high overhead, and also the partial attack coverage is discouraging the industry from adopting CFI protections.
NLI2Code: Reusing Libraries with Natural Language Interface

Modern software development typically involves composing functionality by reusing existing libraries. This task is difficult due to the gap of abstraction levels between user tasks and APIs. In this paper we propose a new concept LibNLI (Library Natural Language Interface) to bridge the gap. LibNLI is a domain-specific language encapsulating APIs into library functions, which is more high-level and instructive than library APIs. In LibNLI, user can reuse libraries with the description of the current programming task. We design an abstract framework NLI2Code to illustrate how to build and use LibNLI. The framework combines three components: functional feature summarizes functionality of a library, code pattern maps each functional feature to its implementation, synthesizer creates local variables to complete code patterns into well-typed snippets. The main goal of NLI2Code is to show feasibility of reusing libraries with natural language interface and lay out the design space to motivate further related research. We have performed a preliminary evaluation by instantiating this framework in a tool NLI4j to reuse Java libraries. The results affirm its capability to summarize accurate functional features and synthesize correct implementation. LibNLI for the evaluated libraries is published.
STATISTICAL APPROACH BY FACTOR AND CLUSTER ANALYSIS ON ORIGIN OF ELEMENTS FROM THE HAMIT PLUTONIC (TURKEY) ROCK SAMPLES

The Hamit pluton forms part of the Central Anatolian Crystalline Complex. It is located N-NE of Kaman (Kirsehir). It covers an area of about 120 km2. The geochemical contents of 63 rock samples collected from this pluton were analyzed for their origin, homogeneity and relationship with crustal rocks. Their element contents were determined by using X-Ray Fluorescence spectroscopy. The samples were divided into 2 major groups based on their similarities: Group 1 contained 63.5% of the samples and indicated they were formed from melts whose contents might have evolved greatly due to crustal assimilation; while the 36.5% of samples belonged to Group 2, and show minimal evolution of the melt. According to the variation in K/Rb ratio versus SiO2 and the Rb/Zr versus SiO2 the initial melt had experience great evolution due to crustal assimilation. The initial melt is considered to have contained “most” of SiO2, TiO2, Fe2O3, MnO, MgO, CaO, P2O5, Sr, Zn, Cu, Ni, Co, Cr, Ba, Nd, Sc and V that formed the pluton, while “majority” of the Al2O3, Nb, Zr, U, Th, Pb, Ga, Rb, Ce and La are considered to have been derived from crustal contamination, and “almost all” of Na2O, K2O and Y are considered to have originated from crustal assimilation.