Reviewerly/exHarmony huggingface dataset:
Research of A Multiagent Model of An Integrated Energy Supply System Developed in the Anylogic Software Environment

The main goal of the paper is to develop and study an integrated energy supply system model in the AnyLogic software environment using a multiagent approach. Creating a single integrated system will allow: to implement new functionalities; increase reliability by improving redundancy and faster decision making in normal and emergency situations; determine the most profitable supply route individually for each consumer, based on cost and design features; participate consumers with their own energy sources in the process of energy supply of the system. The multiagent model of the integrated energy supply system was created in the AnyLogic software environment, which uses advanced technologies for modeling complex systems that will allow the most visual and detailed display of the interaction mechanisms of objects in the system and analyze the results. This study describes in detail the resulting multiagent model, its main agents, and their state diagrams. A description and analysis of an experiment conducted using this model is also provided. The results show that the multiagent model of the integrated energy supply system works correctly and performs all the specified functions.
Impact of Uncertain Work Environment on Employee Job Performance in Banking Industry: A Perspective from Job Demands-Resources Model

With a focus on the Job Demands -Resources model (JD-R model), this paper examine the effect of the uncertain work environment (UWE) as an independent variable to explore the relationship between the job demands (JD) as moderating variable and job resources (JR) the mediator on employee job performance (JP).Commercial Banks of South Sudan employees were investigated through the distribution of 256 questionnaires, and 160 questionnaires were returned, which formed a response rate of 62.5%.The study hypothesized that; H1.The uncertain work environment has a negative influence on employee work performance, H2.Uncertain work environment affects job resources negatively, H3.Job resources have a positive impact on employee work performance, H4.Job demands moderate the effect of job resources on work performance, H5.Job demands moderate the influence of uncertain work environment on job resources and H6.Job demands moderate the impact of the uncertain work environment in work performance.Results confirm that (UWE) affect the (JP).They have a significant negative influence on (JP), (JR) has a substantial impact with (JP), (JD) had a significant negative influence on relationship between (UWE) and (JP)through (JR), and (JD) moderate the impact of (UWE) on (JR) positively.
The Effect of Student Teams Achievement Divisions (STAD) to the Students’ Writing Ability on Recount Text

This research focuses on the effect of Student Teams Achievement Divisions (STAD) to the Students’ Writing Ability on Recount Text at Grade Ten of SMA HKBP 1 Pematangsiantar’. Problem raised in this research was ‘What is the effect of Student Teams Achievement Divisions or STAD on the students’ writing ability at grade ten of SMA HKBP 1 Pematangsiantar’. To answer the problem above, the researchers use the theories of some experts. They are: Harmer (2004) ,Knapp &amp; Watkins ( 2005) , Aljanian (2012), Kagan (2009), Zemach &amp; Rumisek (2003). The participants were the grade X of SMA HKBP 1 where there are two classes, one is as a control and the other is as an experimental class. The methodology used in this research was the Qualitative research. The data was collected by doing the observation. After the data been collected the researcher found the significant effect of STAD in improving the students’ writing skill. It can be seen from the data where the main score of pretest to post test in experimental class is 56,23 to 80,95. It has a great change. The result showed that the students at grade X of SMA HKBP 1 Pematangsiantar are able to improve their writing skill especially in recount text by applying STAD strategy in the class.
Building a Navigation System for a Shopping Assistant Robot from Off-the-Shelf Components

A primary goal of developing robots is to relieve people from hard work or help them in difficult situations. An example for such a situation is a shopping assistant robot that supports people who need help in their daily life. Such a mobile robot has to be able to deal with dynamic environments (moving people) and navigate safely and efficiently. In the present paper, we provide a system description of our navigation strategy for an assistant robot that is developed for autonomous operation in a supermarket. Creating an appropriate experimental environment can be quite challenging, and access to the application place can be limited (e.g., a real supermarket). Therefore we complement our real robot with a digital twin and describe our approach to create a suitable simulation of a real-world supermarket. Further, we discuss how off-the-shelf software can be used to implement a three-stage navigation strategy (planing a route with a TSP solver, global path planning, and incorporating dynamic obstacles in an optimization-based TEB approach) that is suitable for environments with dynamic obstacles. The paper presents our approaches to create a 3D map from 2D floor plans, as well as the preprocessing of the sensor data for usage in the TEB planner. Finally, we provide our hands-on experience with implementing a complex state-machine using the graphical RAFCON framework.
Multi-time correlations in the positive-P, Q, and doubled phase-space representations

A number of physically intuitive results for the calculation of multi-time correlations in phase-space representations of quantum mechanics are obtained. They relate time-dependent stochastic samples to multi-time observables, and rely on the presence of derivative-free operator identities. In particular, expressions for time-ordered normal-ordered observables in the positive-P distribution are derived which replace Heisenberg operators with the bare time-dependent stochastic variables, confirming extension of earlier such results for the Glauber-Sudarshan P. Analogous expressions are found for the anti-normal-ordered case of the doubled phase-space Q representation, along with conversion rules among doubled phase-space s-ordered representations. The latter are then shown to be readily exploited to further calculate anti-normal and mixed-ordered multi-time observables in the positive-P, Wigner, and doubled-Wigner representations. Which mixed-order observables are amenable and which are not is indicated, and explicit tallies are given up to 4th order. Overall, the theory of quantum multi-time observables in phase-space representations is extended, allowing non-perturbative treatment of many cases. The accuracy, usability, and scalability of the results to large systems is demonstrated using stochastic simulations of the unconventional photon blockade system and a related Bose-Hubbard chain. In addition, a robust but simple algorithm for integration of stochastic equations for phase-space samples is provided.
Sensitive Data Security over Network Through a Combination of Visual Cryptography and Data Hiding Mechanism

Information remains as the primary source in any industry. Every industry spends most of its expenditure on the security of data either stored on a local server or on the cloud. Lots of existing techniques are available to protect data from unauthorized access. Existing techniques like cryptography, steganography, and watermarking are used to protect data with some limitations. Proposed system focuses on data security by hiding it behind the video as a carrier and then transmitting it over an unsecured wireless media. It is expected to have a better outcome than any other existing technique with the primary motto of hiding data at any e bit position of carrier object.
Advances in Computational Linguistics

Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions. In general, computational linguistics draws upon linguistics, computer science, artificial intelligence, math, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology and neuroscience, among others.
The risks for digital evidence

After the discussion of quality assurance in digital evidence, the question of the future naturally follows. Some leaders in the field have made the disturbing observation that the overall quality of digital forensic examination is declining and the comprehension of cybercrime is diminishing. This reliable observation appears to be in conflict with the simultaneous improvement in the general public’s knowledge of technology and its attendant utility irrespective of the level of economic development. Further, such a decline is occurring at a time when all communities are becoming more dependent on technology and therefore individuals are generating more digital traces representing thoughts, behaviours and actions that might be used in evidence in any proceedings. The decline is a great concern as the consequences of errors and omissions in forensic science result in miscarriages of justice, and dangerous criminals will continue to be at large to perpetrate further crimes against persons and organisations. The public rightfully expects that its justice system will continuously improve in meeting the needs of the community and to have confidence in the evidence that might be presented.
Improving Efficiency of Graph Clustering by Genetic Algorithm Using Multi-Objective Optimization

ABSTRACTInformation networks, like social networks on the internet, evolve naturally without constraint on degree or connectivity. The distribution of degree of such network is exponential, with a few nodes having a large degree, forming what is called a scale-free network. Scale-free networks form communities, or clusters of nodes. Discovering such clusters is the most important step for analysis of the information network. This is a NP-hard problem. Recently, genetic algorithm based works are reported, where the optimum number of clusters evolve automatically. The optimization criterion, the modularity index, is used as the fitness function of the chromosome. We observed that, if the diameter of the clusters are constrained to a lower value, during evolution of genetic search, a faster convergence is achieved. We used a multi-objective genetic search with two optimization criteria: the modularity index (the higher the better), and the largest diameter (the lower the better) of the communities defined by a chromosome. Simulation results, using network with known communities, show that using this multi-objective GA the result is stable, and achieves better modularity compared to the most often used Louvain algorithm.
Communication Technologies in Culture and Modern Anthropotechnical Reality

The communication basis upon which cultural institutions are based and through which have developed has undergone significant changes in the last few months. Social distance, isolation, decrease in communication contacts involve producers and consumers of cultural products in new forms of interaction. he changed format, the ban on visiting and organizing mass events, which cultural institutions are forced to take, is intensifying the search for new platforms and communication methods that can not only compensate for isolation from the cultural context, but also provide support to both visitors and and employees. The transformation of the image of the communication world, communication channels, the communicant itself, the communicative community corrects and complicates the functioning of cultural institutions, regardless of their specificity. The article analyzes the specifics of current communications in the field of culture in the situation of a new anthropotechnical reality, and also illustrates the role of communication technologies in the conditions of transforming reality using the example of Russian museums. The reorganization of the museum sector, the use of digital resources, the imaging component are key factors for shaping the modern look of the museum. Revealing the mutual influence of communication technologies and cultural heritage will allow us to carry out not only theoretical understanding, but also the practical development of projects, ideas, and searches.
Use-Case of Blockchain in Cybercrime and Cyberattack

Cybercrime involves unlawful activities done by the individual in cyberspace using the internet. It is cyberbullying, financial theft, code-hack, cryptojacking, hacking, etc. The main difference between cybercrime and cyberattack is that cybercrime victims are humans. The crime associated with the latter is that of a computer network, hardware or software. Cyberattack activities include ransomware, viruses, worms, SQL injection, DDoS attacks, and government and corporate are potential targets. Cyber security provides a specialised approach to the protection of computer systems from cybercrimes and cyberattacks. As of now, no cyber defence is 100% safe. What is considered safe today may not be secure tomorrow. Blockchain enables a new way of recording transactions or any other digital interaction within the network with security, transparency, integrity, confidentiality, availability, and traceability. This chapter explains in detail about cyber risks and how blockchain can be used to avoid risks in financial and insurance frauds.
A New Intelligent Learning Diagnosis Method Constructed Based on Concept Map

With the rapid development of Internet technology, online learning and online education are becoming more and more popular. Intelligent learning diagnosis has become an effective means to guarantee the quality of online learning, and has become a research hotspot in the direction of education informatization. Concept map is an intuitive visual tool that can discover the concepts poorly mastered by students, and provide useful clues for identifying learning disabilities of students. This paper proposed a learning diagnosis method constructed based on the concept map. First, it groups learners, then uses direct hashing and pruning (DHP) to generate association rules between the different concepts, and finally uses the DHP algorithm to produce and construct the concept map automatically to discover the concepts poorly mastered by students, and realize the automatic diagnosis of learning problems. Case studies that have been done in college mathematics classes in some universities of Lianyungang have fully verified the effectiveness of our method.
Volume Rendering: An Analysis based on the HoloLens Augmented Reality Device

This study aims to analyze the feasibility of the HoloLens Augmented Reality device through the development of a prototype that renders volumetric data in a holographic environment. The prototype was developed with the Unity3D game engine. The results indicate that it is possible to perform the visualization of volumetric data, using classic techniques of Volume Rendering in HoloLens. However, the limitations of the device, mainly in relation to the memory space, restricted the size of the tested models. On this basis, real-time display rates were only achieved for low-resolution models, which points to the possibility of optimizations in the prototype to reduce memory consumption and processing costs.
Real-Time Segmentation Networks Should be Latency Aware

As scene segmentation systems reach visually accurate results, many recent papers focus on making these network architectures faster, smaller and more efficient. In particular, studies often aim at designing ‘real-time’ systems. Achieving this goal is particularly relevant in the context of real-time video understanding for autonomous vehicles, and robots.In this paper, we argue that the commonly used performance metric of mean Intersection over Union (mIoU) does not fully capture the information required to estimate the true performance of these networks when they operate in ‘real-time’. We propose a change of objective in the segmentation task, and its associated metric that encapsulates this missing information in the following way: We propose to predict the future output segmentation map that will match the future input frame at the time when the network finishes the processing. We introduce the associated latency-aware metric, from which we can determine a ranking.We perform latency timing experiments of some recent networks on different hardware and assess the performances of these networks on our proposed task. We propose improvements to scene segmentation networks to better perform on our task by using multi-frames input and increasing capacity in the initial convolutional layers.
InspectorX 2.0: Developing a Multi-Device Game for Software Inspection Education

Software Inspection is a review technique that aims to improve the quality of software artifacts through defect detection, thus reducing the cost of rework. Being a human-driven process, it depends directly on the professional's individual expertise level in the field. However, it is challenging to teach software inspection in the classroom without proper support, leading students to lose motivation and hampering their learning. To circumvent that, the InspectorX serious game was proposed as a means to support Software Inspection Education and Training. Since then, students provided feedback on what could make it more interesting. In this sense, this paper introduces InspectorX 2.0, an evolution that migrate old issues and present novel features. A preliminary assessment performed with students helped us understand the pros and cons of this version.
Sound garbage collection for C using pointer provenance

Garbage collection (GC) support for unmanaged languages can reduce programming burden in reasoning about liveness of dynamic objects. It also avoids temporal memory safety violations and memory leaks. Sound GC for weakly-typed languages such as C/C++, however, remains an unsolved problem. Current value-based GC solutions examine values of memory locations to discover the pointers, and the objects they point to. The approach is inherently unsound in the presence of arbitrary type casts and pointer manipulations, which are legal in C/C++. Such language features are regularly used, especially in low-level systems code. In this paper, we propose Dynamic Pointer Provenance Tracking to realize sound GC. We observe that pointers cannot be created out-of-thin-air, and they must have provenance to at least one valid allocation. Therefore, by tracking pointer provenance from the source (e.g., malloc) through both explicit data-flow and implicit control-flow, our GC has sound and precise information to compute the set of all reachable objects at any program state. We discuss several static analysis optimizations, that can be employed during compilation aided with profiling, to significantly reduce the overhead of dynamic provenance tracking from nearly 8× to 16% for well-behaved programs that adhere to the C standards. Pointer provenance based sound GC invocation is also 13% faster and reclaims 6% more memory on average, compared to an unsound value-based GC.
Pengembangan Media Audio Visual Menggunakan Contextual Teaching and Learning (CTL) dalam Pembelajaran Menulis Paragraf Narasi pada Siswa Kelas VII SMP

The purpose of this study was to develop an audio-visual media design in learning to write narrative text using the Contextual Teaching and Learning model and to determine the feasibility of audio-visual media designed for learning in junior high schools. This development is expected to help teachers in the learning process and attract students to participate in learning to write narrative paragraphs actively. This development research uses a qualitative approach with a development model, according to Alessi and Trollip (2001). Initial data were obtained for needs analysis before developing instructional media. Meanwhile, the data validated by design experts, linguists, and material experts are used to determine the feasibility of the media that has been developed. The data collection was done by using a questionnaire method. Development is carried out in three stages, namely planning, design, and development. The results of the due diligence of the three experts are as follows. The results of the media expert's feasibility test got a score of 40 with a percentage of 90.91%, so it was categorized as very feasible. The linguist gave a feasibility test score of 22 with a percentage of 91.67% and was categorized as very feasible. The feasibility test of the material expert scored 42 with a percentage of 87.5% and was categorized as very feasible. Based on these results, it can be concluded that the developed audio-visual media has met the very feasible criteria.
Africa’s Underdevelopment amidst Global Pressures: Is Good Governance Attainable?

It is undeniable that Africa’s under-development problems do not only emanate from the colonial legacy, they are also exacerbated by global pressures that place unnecessary demands on African countries. Some of these demands relate to aid and loans from the global north to the south, such as the need for good governance reforms. The lack of political will and pragmatic leadership are some of the major contributors to bad governance in Africa. Though Africa’s problems includes poor leadership and resource mismanagement, the underdevelopment stems from misplaced priorities. The questions lie in the extent to which some of these problems are either a preservation of the African way of life or are importations. With the colonial spread and successive peripheralization of traditional African societies and organs of governance, it has become evident that it is difficult to westernize Africa and its institutions of supremacy such as “traditional leadership,” which still sway the socio-cultural practices of the people. Hence, the consequential annihilation of the role these traditional institutions play has added to the expurgation of the understanding and knowledge of how they operate. Thus, the quest for good governance in Africa as imposed by the west, which is a significant departure from Africanity, is as daunting as ever. This research employed content data analysis and the authors concluded that unless African countries overcome their lack of identity and economic dependence, good governance will not be stained for a long time on the continent.
Lexical Changes in the Korean Residential Culture Corpus: Focused on Semantic Classification of Nouns.

This study aims to examine Korean Residential Culture through the methodological procedures of corpus analysis for cultural studies. For this purpose, I used the corpus constructed from articles related to the residential space in five different women’s magazines(1970-2015): Chubusaenghwal(Housewives Living(STYLER)), Yŏsŏngdonga(Women’s Dong-A), yŏsŏngjungang (Women’s JoongAng), yŏwŏn(Yeowon), and Haengbogi kadŭk’an chip(A Home Full of Happiness). I built a serial analysis process for analyzing this diachronic corpus; extracting the list of words to focus on, classifying the words list using a thesaurus, restructuring the list by a cultural framework, and analyzing the changing trends of each classified lexical group in a sociocultural context. This research is meaningful in that it is an empirical result that can be applied for both cultural studies and corpus linguistic analysis in cultural aspects. (Ewha Womans University)