Reviewerly/exHarmony huggingface dataset:
Data Hiding by Unsupervised Clustering Using Fuzzy C-Mean

In another message and views like a usual music, graphic or other file, steganography hides a message. Steganography aims to send messages under the guise of observing the very existence of information exchange, research aims at solving the problem of information and data security through the frequent use of the Internet by individuals and protecting information from intruders between the sender and the receiver. Introduce a method of steganography use key to determine the even pixel t from cover image to determine location hide data in cover image and that combines LSB with machine learning (unsupervised clustering) method that is Fuzzy C-Means (FCM). It is  Each image will be divided into eight clusters, then the biggest cluster pixel number  from the random block  will be chosen, has been proposed and the password has been used to more secure the system in hash function cryptography algorithm, it consist of  five  steps: The first step:   determine the even pixel and Classified Image ,The second step: Cryptography (password using Hash Function, The third step: convert secret message and secret image to the binary by use ACSII code ,The four step: Selected message or image to hide in cover image using LSB,  thefive Step :implementation system. The outcome of suggested system is obtained, efficiency, high security, robustness, transparency, and capacity. Through evaluate system uses PSNR, MSE, Entropy, and histogram.
KEGIATAN PENGELOLA TAMAN BACAAN MASYARAKAT SAHABAT PENA DALAM LAYANAN INFORMASI SAAT PANDEMI COVID-19

The Covid-19 pandemic has greatly affected every area of public life, including the role of information managers in the information service process. The Information Manager made various efforts to provide information services during a pandemic, one of which was by the manager of the Sahabat Pena Community Library (TBM). This study aims to determine the role of the Sahabat Pena Community Library manager, the programs being carried out, and the parties working together in providing information services to the community. The method used is to conduct a literature review, observation, and online interviews with the community Library managers. The results of the study show that the role of the Sahabat Pena Community Library is to become an educator and field activist. Programs carried out in the information service effort are Jumat Berkah, Peduli Lansia, Donasi Buku, and Diskusi Aktifis Group. Information services are carried out directly by still paying attention to health protocols and online by utilizing social media. And in collaboration with the Karang Taruna and the Komite Nasional Pemuda Indonesia (KNPI) Gununghalu District in an effort to accelerate and facilitate the implementation of the program being carried out. Keyword: Information services, the role of information manager, Sahabat Pena community library
Assessing Ontology Alignments on the Level of Instances

Metrics, such as Precision and Recall, are used to evaluate ontologies at both the design and application stages. The aim of the paper is to introduce two metrics that assess ontology alignments at the instance level, which can be used by people interested in ontology integration. These metrics allow to select the best mapping from existing ones. The usefulness of the metrics has been confirmed by their practical and experimental validation.
Knowledge-Based Decision Support System for Emergency Management: The Pandemic Framework

Emergency management systems (EMS) assist emergency managers to resolve emergencies on hand, through analyzing the emergency characteristics and consolidating data from different departments that are involved in resolving the emergency. Many countries have adopted various forms of EMS that are specialized in resolving one type of emergency, and studies demonstrate their effectiveness in producing better decisions. However, the COVID-19 pandemic uncovered the lack of a comprehensive framework that could deal with different emergencies. It also revealed the inability of the current systems to communicate with each other to retrieve the needed data. The aim of this study is to show the current state of EMS in emergency departments by constructing a framework for a knowledge-based decision support system for emergency management focusing on resolving pandemics. Qualitative approach was adopted in this research, where the authors reviewed emergency management in general and pandemics in specific. Existing EMS systems were investigated, and knowledgebased decision support systems were explored. Approaches for integration, communication, and collaboration were also studied. As a result of this study, a comprehensive framework, i.e., a knowledgebased decision support system for emergency departments, focusing on resolving pandemics was introduced. The framework was validated by a domain expert who provided insights and suggestions for future research. While the primary research focus is to assist emergency managers in resolving the COVID-19 pandemic, the proposed framework is unique by adopting different approaches and techniques that enable the system to deal with various emergencies not limited to the current pandemic.
Reliability Analysis of Cloud Computing Systems Serving Multi-Class Requests

The current era of the internet has laid focus on Cloud Computing systems.We find the application of CCS in almost all the domains, such as the medical field, pharmacy sector, IT sector, etc.However, the reliability of CCS is of utmost importance for its smooth applicability.In this paper, we perform the reliability analysis of CCs using the ReliaCloud-NS simulation framework.We have carefully framed our test cases to cover the broad domain where CCS is used.Along with reliability analysis, the study on components of CCS, i.e., HDD, CPU, Bandwidth and memory, is performed, illustrating its failure in various VMs.We have tried our best to perform the analysis of CCs broadly to make this work valuable for almost all the domains where CCS is used.
Individual Resilience As Human Resource Component For The Modern Society Sustainable Development

In modern society, one of the most pressing problems is the violation of the integrity of both the person himself and the entire society as a whole through crises, conflicts, the desire to redistribute various resources, etc. The manifestation of human resilience in this situation leads not only to new stages and heights of the development of the individual as a human resource, but also to the sustainability of the development of modern society. The study presents various definitions of the concept of “resilience” and the classification of concepts for studying this concept through the relationship with the categories of the individual and the subject of labor within the framework of age, professional characteristics and depending on the environment of life. This helped to develop an approach that identified three aspects of resilience that can characterize this concept from three sides. First, the ability to adequately and emotionally neutral accept a negative situation. Secondly, understanding a negative situation and developing a plan for getting out of it; thirdly, the implementation of a way to resolve a negative situation in life, a transition to a new level of development and a new level of relations with society. When only the first aspect is manifested, one can speak of an infantile scenario of resilience. The presented aspects will make it possible to propose a program for the development and adjustment of resilience, depending on the goals of the individual and society.
Augmented Reality-Based Learning Media Design: Its Compatibility to Blended Learning

This objectives of this study are to find out: (1) the functionality and the compatibility of the AR-based game for Blended Learning model ( 2) describe users' perspectives on its potential for blended learning activities.The design of the game called ArReadSpeed has gone through several stages that encompass pre-design input taking, design stage, and pre-trial evaluation stages.The inputs generated from the prospective users and two experts serve as feedback needed for the game prototype making, while the inputs from the pre-design stage have become the basis for the media design.This paper reports the results of the trial stage that was intended to gather information about the readiness of the game for real use that encompasses the content and construct validity aspects.The obtained feedback was then used to evaluate if the media is readily usable for the blended learning model.The results of the trial showed that the aspects of both content and construct validity were both very good.In addition, the trial results also show that the tried game is considered as a decent product, attractive, and easy to use for independent learning, making it readily usable for the real blended learning context.The upcoming step to do is to determine if the product is indeed an effective medium for learning that can enhance students' reading skill.
Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains.

The majority of Earth's surface lies deep in the oceans, where no surface light reaches. Robots diving down to great depths must bring light sources that create moving illumination patterns in the darkness, such that the same 3D point appears with different color in each image. On top, scattering and attenuation of light in the water makes images appear foggy and typically blueish, the degradation depending on each pixel's distance to its observed seafloor patch, on the local composition of the water and the relative poses and cones of the light sources. Consequently, visual mapping, including image matching and surface albedo estimation, severely suffers from the effects that co-moving light sources produce, and larger mosaic maps from photos are often dominated by lighting effects that obscure the actual seafloor structure. In this contribution a practical approach to estimating and compensating these lighting effects on predominantly homogeneous, flat seafloor regions, as can be found in the Abyssal plains of our oceans, is presented. The method is essentially parameter-free and intended as a preprocessing step to facilitate visual mapping, but already produces convincing lighting artefact compensation up to a global white balance factor. It does not require to be trained beforehand on huge sets of annotated images, which are not available for the deep sea. Rather, we motivate our work by physical models of light propagation, perform robust statistics-based estimates of additive and multiplicative nuisances that avoid explicit parameters for light, camera, water or scene, discuss the breakdown point of the algorithms and show results on imagery captured by robots in several kilometer water depth.
On the Complexity of Two-Party Differential Privacy

In distributed differential privacy, the parties perform analysis over their joint data while preserving the privacy for both datasets. Interestingly, for a few fundamental two-party functions such as inner product and Hamming distance, the accuracy of the distributed solution lags way behind what is achievable in the client-server setting. McGregor, Mironov, Pitassi, Reingold, Talwar, and Vadhan [FOCS '10] proved that this gap is inherent, showing upper bounds on the accuracy of (any) distributed solution for these functions. These limitations can be bypassed when settling for computational differential privacy, where the data is differentially private only in the eyes of a computationally bounded observer, using public-key cryptography primitives. We prove that the use of public-key cryptography is necessary for bypassing the limitation of McGregor et al., showing that a non-trivial solution for the inner-product, or the Hamming distance, implies the existence of a key-agreement protocol. Our bound implies a combinatorial proof for the fact that non-Boolean inner product of independent (strong) Santha-Vazirani sources is a good condenser. We obtain our main result by showing that the inner-product of a (single, strong) SV source with a uniformly random seed is a good condenser, even when the seed and source are dependent.
Cloud Native Data Architecture

In previous chapters, we discussed the application side of cloud-native architecture and showed use cases. In this chapter, I will provide details of the data part of a cloud-native architecture. As you already know, data is a vast subject; in fact, you can find hundreds of blogs, articles, and books about data. Here I am not covering the topic, but only what’s relevant to the cloud-native architecture.
Decision Support System: UTHM Pagoh Residential College Online Registration and Complaint

UTHM students who intend to stay in Pagoh Residential College are required to come for manual registration before every semester begins. However, most of them came from hometown afar. In addition, residential college students are responsible for reporting any damage in their room, and getting involved in the residential college activities. A preliminary interview with the recsidential college administration indicates that the residential college management is currently using a manual business process in allocating room upon student registration where students are given a room without consideration of their race or religion. However, the majority of Malaysians, especially UTHM students are mostly Muslim. Therefore, providing residential with proper room allocation is crucial as there is a possibility where students cook in the college or bring outside food, which is non-halal. This study aims to help students register their rooms by considering these issues using a decision-making technique, making complaints, and obtaining information about activities from residential colleges online. We have planned to evaluate the system usability and enhance it to support mobile access.
Creating herd behavior by virtual agents using neural networks

The paper focuses on simulating an artificial life in which neural networks (recurrent (RNN) and Long Short Term Memory (LSTM) networks) control prey and predator agents. The research goal was to check whether a simple genetic algorithm evolves the LSTM based controller that competes with the classic RNN controller in the real world. We also examined the impact of audio communication within a given species on the survival of agents. Our experiments evidenced the LSTM network results were slightly worse than the RNN controller. We also showed that prey agents developed herd behavior in response to predator pressure. They learned to form herds that allowed them to resist predator attacks. It was also possible to observe the prey agent’s cooperation in searching for food when the plants formed clusters.
Third time's not a charm

In this paper, we show that adoption of the SNMPv3 network management protocol standard offers a unique -- but likely unintended -- opportunity for remotely fingerprinting network infrastructure in the wild. Specifically, by sending unsolicited and unauthenticated SNMPv3 requests, we obtain detailed information about the configuration and status of network devices including vendor, uptime, and the number of restarts. More importantly, the reply contains a persistent and strong identifier that allows for lightweight Internet-scale alias resolution and dual-stack association. By launching active Internet-wide SNMPv3 scan campaigns, we show that our technique can fingerprint more than 4.6 million devices of which around 350k are network routers. Not only is our technique lightweight and accurate, it is complementary to existing alias resolution, dual-stack inference, and device fingerprinting approaches. Our analysis not only provides fresh insights into the router deployment strategies of network operators worldwide, but also highlights potential vulnerabilities of SNMPv3 as currently deployed.
Design an Anti-Surface Simulation System of Naval Formation Based on MAXSim

Taking the deduction and evaluation of the anti-surface operation plan(OPLAN) of the naval formation as application background, the corresponding simulation system based on MAXSim was presented. The function requirements, the overall framework, the module composition and the application flow of the simulation was investigated in turn. The simulation model requirements and development methods were emphasized. At last the prototype system was researched. The result indicated that the simulation system could meet the demand of the deduction and evaluation of the anti-surface OPLAN of the naval formation which was an effective method for assisting commander to analyze the operational issues and evaluate the operational plan.
Preparing Grant Proposals for NSF's Dynamic Linguistic Infrastructure/NEH's Documenting Endangered Languages Program

Session 1 (September 8, 2020): Overview of the National Science Foundation, the DLI solicitation, and the NSF-NEH partnershipSession 2 (September 15, 2020): Elements of NSF ProposalsSession 3 (September 22, 2020): How do DLI-DEL proposals get reviewed? Session 4 (September 29, 2020): Budgeting DLI-DEL Proposals; NSF past and current PIs talk about their experiences (making sure someone talks about budgeting/their experience with budgeting and managing an NSF grant)
Social And Informational Approach In High Education In The Blended Learning Format

The article discusses the specifics of an ignored approach to teaching students of a specialized university in the context of blended learning. The basic principles of the approach are based on the formation of general cultural competencies by means of fundamental disciplines, in particular physics. The concept of such an approach lies in the priority of the formation of social competence as a guarantor of the further successful career of a university graduate, and the ability to work with various sources of information within a certain subject area is an indicator of a student's ability to solve social problems by means of professional knowledge and skills. The most productive way to implement the competence-based approach in the blended learning format, the article declares the principle of "inverted learning". Sociology assumes the opportunity to form the so-called soft skills, and fundamental science ensures that students master the necessary professional skills, hard skills. The main source of information in the process of mastering both flexible and professional skills is a person. Students become the main initiators of the search for possible ways to integrate sociology with fundamental disciplines, and the problem-information approach is considered in the article as a set of educational strategies and tactics necessary for the realization of both personal and professional goals.
Library: Library Quarterly Report FY21 Q4: April-June 2021: Spotlight: Service Quality

Library quarterly report for FY21 Q4: Spotlight: Quality of Service Tools Provide Feedback Loop
Deep Learning Approaches for Spatio-Temporal Clues Modelling

Suresha, M. Kuppa, S. Raghukumar, D. S.Multimedia domain, understanding of video content requires vibrant semantic features, which are static and temporal information, static information contains spatial clues, and temporal information contains short-term motions clues, as well as long-term motions clues. Exploring these visual features is a challenging task. Conventional handcrafted features extraction methods are inefficient to analyse these features. Inspired by the significant progress of deep learning models in the image domain, this research extends to the design and exploration of deep neural models and in video domain. We addressed the evolution of spatio-temporal features in two ways in this paper. First, we used various “convolutional neural networks (CNN)” and their pipelines to investigate video features, fusion strategies and their results. Second, the drawbacks of convolutional neural networks for long-term motion clues are overcome by using sequential learning models such as the long short-term memory (LSTM) network in conjunction with multimodel fusion techniques. The main objective of this study is to explore spatial-temporal clues, different models available for the problem, and determine the most promising approaches.
Sensor-Guided Optical Flow

This paper proposes a framework to guide an optical flow network with external cues to achieve superior accuracy either on known or unseen domains. Given the availability of sparse yet accurate optical flow hints from an external source, these are injected to modulate the correlation scores computed by a state-of-the-art optical flow network and guide it towards more accurate predictions. Although no real sensor can provide sparse flow hints, we show how these can be obtained by combining depth measurements from active sensors with geometry and hand-crafted optical flow algorithms, leading to accurate enough hints for our purpose. Experimental results with a state-of-the-art flow network on standard benchmarks support the effectiveness of our framework, both in simulated and real conditions.
Psychological Support Of The Professional Formation Of Students

The article provides a theoretical analysis of the problem of psychological support for the professional formation of a personality, which is defined as an effective technology for research, development, formation and possible psycho-correction of students’ personality. This direction of scientific research in the context of innovative education in psychological science and practice continues to be relevant and in demand. The indicators of the stages of professional development of students’ personality are considered: adaptation (1st and 2nd course), intensification (3rd course), and identification (4th course). The urgency of the development of a comprehensive model of psychological support for the professional development of students in the context of innovative education and its implementation within the work of the psychological service of Stavropol State Agrarian University is substantiated. For students of the first, second and third years, the program of psychological support was aimed at developing students’ skills to analyze the level of development of their professional self-determination, for fourth-year students - at forming students' professional identification, skills for assessing the level of their professionalism, modeling the scenario of their future professional life. Methods and research results are presented. A comparative analysis of the results obtained at the ascertaining and control stage of the study showed that the developed and implemented model of psychological support for the professional development of students is effective and can be used in the work of the psychological service of the university.
Ideology of MP Tom Tugendhat in His Political Speech: Appraisal Critical Discourse Analysis

This study describes the ideology represented by MP Tom Tugendhat in his political speech about Afghanistan. The speech transcript was obtained from the online newspaper called Spectator. Meanwhile, this study employs purposive sampling data with descriptive qualitative as the model of the research. In analyzing the data, the researchers use systemic functional linguistics specifically the Appraisal theory purposed by Martin and White (2005) to classify and to describe the ideology of the speaker in his speech. However, the focus of this study is mainly in the attitude appraisal including affect, judgment, and appreciation as well as its gradability of attitudinal meanings. The result shows that types of attitude appraisal mostly produced by the speaker is affect, judgment, and appreciation simultaneously. While, the realization of the ideology can be seen through his emotion which is reflected by his affect toward Afghanistan. In addition, the use of appreciation and judgment also influence his ideology since he considers that some events occurred in Afghanistan.