Reviewerly/exHarmony huggingface dataset:
An improved objective metric to predict image quality using deep neural networks

Objective quality assessment of compressed images is very useful in many applications. In this paper we present an objective quality metric that is better tuned to evaluate the quality of images distorted by compression artifacts. A deep convolutional neural networks is used to extract features from a reference image and its distorted version. Selected features have both spatial and spectral characteristics providing substantial information on perceived quality. These features are extracted from numerous randomly selected patches from images and overall image quality is computed as a weighted sum of patch scores, where weights are learned during training. The model parameters are initialized based on a previous work and further trained using content from a recent JPEG XL call for proposals. The proposed model is then analyzed on both the above JPEG XL test set and images distorted by compression algorithms in the TID2013 database. Test results indicate that the new model outperforms the initial model, as well as other state-of-the-art objective quality metrics.
Integration of advanced stereo obstacle detection with perspectively correct surround views

The safe navigation of large commercial vehicles implies the extended need for the surveillance of the direct surroundings. Nowadays surround view systems show heavy distortions and only have a limited range around the vehicle which may not be far enough to detect obstacles or persons early. We present a novel method which fuses an advanced perspectively correct surround view with an advanced obstacle detection. The method proposed is based on stereo vision and uses geometric modelling of the en- vironment using a grid map data structure. The grid map is pro- cessed by a refinement algorithm to overcome limitations of the grid map when approximating shapes of the obstacles which are highlighted in the surround view.
Improved 3D Scene Modeling for Image Registration in Change Detection

This paper presents a novel method for 3D scene modeling using stereo vision, with an application to image registration. The method constists of two steps. First, disparity estimates are refined, by filling gaps of invalid disparity and removing halos of incorrectly assigned disparity. A coarse segmentation is obtained by identifying depth slices, after which objects are clustered based on color and texture information using Gabor filters. The second step consists of reconstructing the resulting objects in 3D for scene alignment by fitting a planar region. A 2D triangle mesh is generated, and a 3D mesh model is obtained by projecting each triangle onto the fitted plane. Both of these extensions result in improved alignment quality with respect to the state of the art, and operate in near real time using multi-threading. As a bonus, the refined disparity map can also be used in combination with the existing method.
Ценностные ориентации различных групп участников образовательных отношений: социально-психологический аспект

Introduction. The relevance of the research is determined by high public concern with the educational sphere, especially the area of developing secondary school learners’ personal results that have the form of the system of value-oriented attitudes and settings. Further self-education, personal growth, self-identification and community commitment on the whole depend on them. The authors for the first time attempted to estimate systemically axiological aspects of the social and cultural context of the modern educational environment. Their objective was to reveal the specifics of axiological orientation systems and to determine the degree of uniformity and congruence of information axiological field of participants involved in various educational relations. Materials and Methods. Senin’s core values questionnaire was used to examine the value orientation of university teaching staff and graduates; the personal growth questionnaire by D. V. Grigorev, I. V. Kuleshova, P. V. Stepanov was used to study high school students’ value-based attitude to several significant objects; mathematical and statistical methods of data processing were ap plied. Results. On the basis of revealed general and specific qualities of the value system of educational relationship participants, one can conclude that teenagers develop criticism in estimation of most real-world objects and tension in perception of subject-subject relations and their own personalities. The authors found that teachers with different work experience select spheres with high and low status in a similar way. Discussion and Сonclusion. This range of problems is to be further investigated in longitudinal studies devoted, in particular, to the estimation of congruence of values of all participants engaged in educational relationship. The obtained results can be used to choose strategies of psychological, pedagogical and tutor support of teenagers and teachers and to define new priorities of continuous teacher training.
ORGANIZATIONAL COMMUNICATION AND WORKPLACE EFFICIENCY: A STUDY OF FLOUR MILLS NIGERIA LIMITED

The Study examined Organisational Communication and Workplace Efficiency: A Study of Flour Mills Limited, Nigeria. The main objective of the study was to find out the role of organisational communication in bringing about workplace efficiency in an organization like Flour Mills Limited and also to find out the various means of communication between the employers and employees of Flour Mills Limited. The researchers consulted relevant literature to raise secondary data while survey method was used to generate primary data for the analysis. The researchersâ€™ theoretical framework was built on â€œThe Hypodermic Needle theoryâ€ propounded by Harold Lasswel which emphasized on communication as a linear process. The study adopted the random sampling technique. The data generated at the course of the study were presented in tables and were discussed to enable the researchers draw conclusion and recommendations. Findings in the study revealed that organisational communication plays a significant role in promoting efficiency in Flour Mill Limited, Calabar. Further findings shows that there are various means of communication between the employers and employees in the organisation and the workers prefer to get information about the organisation and other matters that affect them and their job through the various means of communication. The study recommended that, Flour Mills Limited and other organisations should regularly articulate their policies, goals and objectives to it workers in other to improve work performance through the Public Relations unit. The study further recommends that organisations should eliminate the barriers on communication and create efficient, participative, and transparent communication medium to improve workers commitment. To encourage employees for desired change, Flour Mill Limited, Calabar and other organisations must address the apprehensions and issues related with them.
A snowfall noise elimination using moving object compositing method adaptable to natural boundary

In recent years, the use of surveillance cameras is increasingly recommended and they have been installed in many places. Snowy conditions at the time of an accident were associated with the problem that cars and accident circumstances become difficult to discern in images shot during snowfall. Previous techniques proposed methods for elimination of noise caused by snow using image shift or dedicated filters for the elimination of snowfall in video. However, these are associated with issues such as inability to cope with heavy snowfall or moving objects fading from view or being hard to discern. The present study proposes a method for snowfall noise elimination by extracting moving objects using the travel and the size of the moving object region between continuous frames, and compositing images while correcting for brightness in the background images. By distinguishing between falling snow and other moving objects, we can prevent objects other than snowfall becoming invisible. Using video of actual vehicles driving in snowy conditions for our experiments, we confirmed that snowfall noise can be eliminated without moving objects in the video becoming invisible. Furthermore, we confirmed that moving objects can be incorporated into the composited background images without any sense that they are out of place.
Building a Network that Will Pray for You

For many the term networking is cringe worthy. They picture awkward networking events, fake smiles, and sweaty handshakes. But is there another way? Can we network without feeling uncomfortable and like we are simply using people? Networking with the intent to build social capital is a viable alternative to traditional networking and presents networkers with comfort and peace of mind.&#x0D; In this paper we explore what social capital is and how it differs from networking. We discuss the importance of social capital and its components. Finally, we explore how one can build social capital through networking and introduce practical steps that can assist any individual to improve their networking. Ultimately, this paper will help individuals &amp; organizations network more comfortably, efficiently and successfully.
Enhanced head-mounted eye tracking data analysis using super-resolution

This paper proposes a novel framework for enhancing head-mounted eye tracking data analysis by utilizing state-of-art computer vision techniques. Recently, the development of mobile eye tracking sensors allowed researchers to explore more comprehensive eye movements in an unobtrusive environment. It opened a door that stationary eye tracking devices could never approach. Literature demonstrates applications of mobile eye tracking technology to fields such as psychology, education and learning, usability, marketing, and medical diagnostics. The eye tracking research community is interested in analyzing the details of what and where a person is looking at using large-scale head-mounted eye tracking data. We formulated this problem to be eye tracking video processing, which can be resolved by locating at region-of-interests (ROI) based on fixation location, cropping and zooming in the ROI and enhancing the partial image by super-resolution image transformation. Experimental results and evaluation using image quality measurements show the effectiveness, efficiency, and robustness of the proposed prototype system. Furthermore, we discuss and demonstrate potential real-time applications using the proposed framework with emphasis on using an Augmented Reality (AR) headset with eye tracking capabilities.
The Impact of Perceived Moral Leadership Behavior on Citizenship Rights and Organizational Cynicism

Background and Aim : In the 21 century, organizations are evolving rapidly and with an ethical leadership approach can promote employee citizenship rights and decrease cynicism. This study aimed to determine the effect of perceived ethical leadership behavior on organizational cynicism and citizenship rights. Materials and Methods: In this descriptive-correlational study, the statistical population consisted of the employees of cooperative, labor and social welfare offices of Guilan province in 2016, with Using Cochran formula, 230 people were selected by simple random sampling. The questionnaires of Sharif and Islamiyah’s citizenship rights, Yilmaz's ethical leadership behaviors, and Brandes et al's attitude of employees were used to collect data. Data were analyzed using Pearson correlation and regression tests by SPSS 22 software. Findings: Perceived ethical leadership behavior had a positive effect on citizenship rights and a negative effect on employee cynicism (p=0.05). That is, climate ethics, ethics in decision making, behavioral ethics, and communication ethics have a positive impact on, and enhance citizenship rights, as well as perceived ethical leadership dimensions reduce organizational cynicism. Conclusion: According to the findings, adopting ethical leadership measures promotes organizational performance and productivity by promoting citizenship rights and reducing organizational cynicism. It is suggested that leaders of organizations, by adopting an ethical leadership approach, promote citizenship rights and reduce cynicism in their organization's employees and ensure the organization's stability, survival and progress. Please cite this article as: Habibi R. The Impact of Perceived Moral Leadership Behavior on Citizenship rights and Organizational Cynicism. Bioethics Journal 2019; 9(31): 9-20.
Assessing the Current Status of Information Security Policies Among Saccos in Kenya

In 2013, Communication Authority of Kenya (CAK) recorded cyber-attacks amounting to Sh5.4 million loses.In April 2016, Bandari Savings and Credit Cooperative Society lost Sh5 million through fraudulent ATM withdrawals (Nation Newspapers, April 8, 2016).These examples demonstrate weaknesses that may exist from security breaches and incidents caused by people, processes, and technology.Ministry of ICT and CAK are lacking specific Information Security Models tailored towards SACCOS in Kenya.The study therefore sought to assess the current status of information security policies among SACCOS in Kenya.The study adopted descriptive research design.The unit of observation was 135 SACCOS registered with SACCO Societies Regulatory Authority (SASRA) while the unit of analysis was 270 ICT personnel working in the 135 targeted SACCOS.The study targeted the SACCOS heads of IT department.The study used Nassiuma (2000) formula to get a sample of 85 respondents.Purposive sampling was further used in selecting study participants in every SACCOS who were considered to be knowledgeable of the variables under study.The study utilized questionnaire as the survey instrument to collect both quantitative and qualitative data.The study adopted descriptive statistics.Descriptive data was presented by use of frequency tables.The study established that in all the SACCOS studied, information security policy is used.However, there are still challenges on how information security breaches and incidents can be contained based on the results of the study and therefore calls for further research in academic research.The findings of the study indicate that SACCOS were able to validate that the enhanced information security model using an integrated approach worked as planned and reported to auditors, managers and executives that incident response programs are robust and reliable.If security controls didn't work as planned, they will need to fix them.The actions and resources needed should be included in in the report to executives in the SACCOS sector in Kenya
Cost-efficient Task Scheduling for Parallel Applications on Heterogeneous Cloud Environment

As an efficient way to provide computing resource and services to customers on demand, cloud computing has become more and more popular. From cloud customer perspective, computing cost is a sensitive consideration and it is mainly determined by the scheduling policy of a cloud service platform for parallel applications. In this paper, we present a novel scheduling algorithm for a bounded number of heterogeneous computing nodes with an objective to minimize the computing cost for scheduling DAGs (Directed Acyclic Graph) on the heterogeneous cloud platform, which is called the Search and Earliest Finish Time (SEFT) algorithm. The SEFT algorithm comprises two phases: 1) search and build the set of computing nodes with the cheapest cost; 2) plan task scheduling. Furthermore, the algorithm assigns tasks by their decrease order of the rank values to the computing node that minimizes EFT (Earliest Finish Time) of tasks based on insertion policy. The experimental results show that our proposed approach can not only guarantee the service quality of the application, but also obtain the lower computing cost than the existing approaches.
LibGuides: Online Streaming Video: Expiring in Winter/Spring 2020

Online streaming video available via the CSU Stanislaus Library. Stan State Kanopy Video Licenses Expiring in Winter/Spring 2020
Privacy verification of PhotoDNA based on machine learning

PhotoDNA is a perceptual fuzzy hash technology designed and developed by Microsoft. It is deployed by all major big data service providers to detect Indecent Images of Children (IIOC). Protecting the privacy of individuals is of paramount importance in such images. Microsoft claims that a PhotoDNA hash cannot be reverse engineered into the original image; therefore, it is not possible to identify individuals or objects depicted in the image. In this chapter, we evaluate the privacy protection capability of PhotoDNA by testing it against machine learning. Specifically, our aim is to detect the presence of any structural information that might be utilized to compromise the privacy of the individuals via classification. Due to the widespread usage of PhotoDNA as a deterrent to IIOC by big data companies, ensuring its ability to protect privacy would be crucial. In our experimentation, we achieved a classification accuracy of 57.20%. This result indicates that PhotoDNA is resistant to machine-learning-based classification attacks.
Pembuatan Trainer Kit Material Handling Crane Sebagai Model Pembelajaran Otomasi Industri Dengan Pendekatan Rapid Prototyping

The development of industrial automation systems began in the 20th century, where most companies engaged in the manufacturing industry were required to be able to automate production systems in order to achieve safe and efficient production activities in a sustainable manner. Crane is one of the material handling that is often used in material transfer activities both on an industrial and non-industrial scale. Rapid Prototyping is a technique used to form a product in a fast way with integration between CAD (Computer Aided Design) systems and machines with Rapid Prototyping (3D Printer) systems. This study aims to make material handling crane trainers using the Rapid Prototyping method, using an Arduino-based control system. The results of this study are the making of learning tools and modules.
A Novel Group-Aware Pruning Method for Few-shot Learning

Few-shot learning, which focuses on solving machine learning problems in the setting of scarce data, has become a hot spot in the field of neural network and machine learning recently. Inspired by BlockDrop that performs pruning compression on the network using reinforcement learning, in this paper, we present a Group-Aware Pruning (GAP) method with new unifying pruning strategies and different training/testing ways to fit few-shot learning. The proposed GAP consists of three modules, that is, a pruning module, a strategy consensus module (SCM), and a classification module. The whole support set is first fed into the pruning module to get a pruning strategy for each image. Next, the strategies are fed into SCM to fuse into a group strategy for further pruning. When the classification module makes a prediction for a query image, it no longer needs re-output the pruning strategy for the query image since pruning strategies have been unified. Note that in SCM, strategy unification is proposed to achieve the group-aware strategy, which assures an existing deep network that has been pruned by the group-aware strategy work well for few-shot learning problems. Additionally, the testing will be speeded up due to the fact that only one classification model is required in the proposed GAP. Experiments on two benchmark datasets, namely, Omingnet and miniImageNet, and comparisons with the existing state-of-the-art methods show that the accuracy of the proposed GAP is 4.94% higher than the state-of-the-art methods on the 5-way 5-shot task, which shows the effectiveness of the proposed method.
PENINGKATAN HASIL BELAJAR PKN MELALUI MEDIA GAMBAR SISWA KELAS V SD NEGERI 05 SIALANG KECAMATAN KAPUR IX KABUPATEN LIMA PULUH KOTA

The background of the problem of this research is that the learning process is felt to still need to use media. The condition of learning causes students to be more enthusiastic about learning and can quickly understand the material delivered by the teacher. The purpose of this study was to describe the Improvement of Student Learning Outcomes in Class V of Sialang 05 Elementary School in Kapur IX District, Lima Puluh Kota District through media images. This research is Classroom Action Research. The subjects of the study were the fifth grade students of Sialang 05 Elementary School in Kapur IX District as many as 29 students consisting of 13 women and 16 men. The instruments in this study are: observation, testing and documenting. Data analysis techniques in the main activities of this model analysis include among others (1) data analysis of observation sheets of teacher and student activities, and (2) analysis of student learning outcomes. Observation is used to determine the teacher's ability to manage the learning and activities of students in the learning process by using media images. The results showed that in the first cycle the results obtained were 12 students 42% above the KKM and in the second cycle 26 students were 90% above the KKM. So, based on the results of the study show that there is an increase from cycle I to cycle II. Suggestions to teachers, especially grade V teachers to use picture media in accordance with the material being taught so as to improve the completeness of student learning outcomes.
Relationship of mathematical thinking ability to entrepreneurial work styles in the work environment in the industrial age 4.0

Abstract The industrial era 4.0 emphasizes the pattern of digital economy, artificial intelligence, big data, robotic, and destructive innovation phenomena whose challenges are far more severe. The work style that is in accordance with these conditions is the work style of an entrepreneur who has the elements of being able to anticipate change, visionary, think strategically, flexibly, initiate change, be oriented towards the future. The thought process that is expected to form individuals to get used to the entrepreneur’s work style includes the process of mathematical thinking. Research examines the relationship between the mathematical thinking ability and entrepreneur’s work style. The research method uses descriptive correlational with a quantitative approach. The research subjects consisted of 55 employees at one of the private universities. The instrument is a mathematical thinking ability questionnaire and an entrepreneur work style questionnaire. The conclusion is that there is a relationship between the mathematical thinking and the entrepreneur’s work style. The mathematical thinking ability significantly affects the entrepreneur’s work style. Relations that occur are categorized as strong and unidirectional. The better the individual’s mathematical thinking ability lead to the better the individual entrepreneur’s work style. The mathematical thinking ability in the research subject is dominant with a score of 4, meaning that employee involvement in organizational development can be relied upon. The entrepreneur’s work style in the research subject is also dominant with a score of 4, meaning that the work style of the employee supports in facing the challenges of the organization in the industrial era 4.0.