Reviewerly/exHarmony huggingface dataset:
Critical Communication Infrastructures and Huawei

Recently, there have been growing cyber-safety concerns over telecom equipment made by the Chinese vendor Huawei. This has led many countries to ban Huawei from supplying equipment for building the next generation of mobile networks, 5G. Responses from mobile operators and the telecom community in general have been mixed. For instance, many European mobile operators have stated that these concerns are overblown and that such a ban would delay 5G rollout by two to three years in the best case. Moreover, some operators have directly questioned the ability of the other vendors to timely deliver a complete 5G network. However, these claims have mostly not been grounded in empirical data. This paper takes a multi-perspective approach to investigating this problem empirically. We start by categorizing responses from different countries to using Huawei equipment in 5G. We then analyze the importance and readiness of Huawei for supplying 5G equipment. This analysis is based on contributions to standards and patents. We also present a conceptual risk analysis framework to qualitatively evaluate the ability of a single vendor to cause considerable damage to critical communication infrastructures. This model aims at exploring a set of relevant axis. More specifically, we look at potential for harm in different political climates that is peace, crisis and war. Another axis is whether banning a particular vendor from supplying equipment for the upcoming mobile networks generation is useful without having a backward compatible ban. A third axis is the ability of a vendor to cause harm as a function of the type of supplied equipment, for example radio towers vs network management systems. Combining the analysis of readiness for supplying 5G and potential for causing harm allows us to roughly estimate the likely impact that a complete ban would have on 5G rollout in different parts of the world. We find that such a ban can possibly delay 5G by two years or more for operators with high dependence on Huawei. Consequently, we explore potential approaches that would both reduce vendor-related risk and do not significantly delay the rollout of 5G. These include heterogeneous multi-vendor deployments, equipment verification and testing, international collaboration as well as signing non-aggression treaties. Unfortunately, there is no technological solution that fully remedy this problem. Combining technical solutions with efforts to build trust between countries, enforce existing alignments or create new ones seems a promising way forward.
Factors Affecting Delegation Authority toward Employees Performance

Employees are the key asset of every organization and their performance can influence the goals and objectives of organizations in a positive or negative way. The aim of this study is to develop a theoretical framework in relations to examine the effects of employeeâ€™s satisfaction and participation, delegation authority and empowerment on employeeâ€™s performance in UAE organizations. Specifically, to get an in-depth understanding of the linkage between delegation authority and employees performance with emphasize on (employee participation and employee satisfaction). This study is only limited to Dubai organizations and future research may be conducted in other countries as well as can assess the moderating role in the defined variables. By integrating employeeâ€™s satisfaction and participation, delegation authority and empowerment, and employeeâ€™s performance literature, the main contribution of this paper is the analysis of defined variables in Dubai organizations with emphasize on new challenges and to boost up the gap of relevant literature.
KLASIFIKASI KEBUTUHAN NON-FUNGSIONAL MENGGUNAKAN FSKNN BERBASIS ISO/IEC 25010

The quality aspect of non-functional requirements play a very big role in the success of software development.However, identifying aspects of quality of non-functional requirements is a difficult thing to do.Because the quality aspect of nonfunctional requirements is often found incomplete, hidden, and mixed in the sentences of other requirements in the document.Existing research has been able to identify aspects of non-functional requirements by classifying.Although the ISO/IEC 9126 quality standard has been replaced by ISO/IEC 25010 in 2011.However, the labeling process still uses the ISO/IEC 9126 quality standard.Therefore, the quality standard used to label the sentence of need in this research is ISO/IEC 25010.While the classification method used is Fuzzy Similarity based K-Nearest Neighbor (FSKNN).The classification method used was tested using the nearest neighbor values 10, 20 and 30.In this research the FSKNN method succeeded in obtaining the highest score based on expert ground truth, namely accuracy by 98.15%, precision by 6.15% and recall by 21.73%.
PENERAPAN METODE COMPOSITE LOGIC UNTUK PERANCANGAN FRAMEWORK PENGUMPULAN BUKTI DIGITAL PADA MEDIA SOSIAL

Social media has become a major part of society. But most of the time social media is used as a way people commit the crime. Due to numerous crimes that use social media, it is essential to design a framework to gather digital evidence on social media. This study develops the design of Framework by implementing Composite Logic Model. A logic Composite model can be used to determine the role model of any variable or pattern that need to collaborate. Composite Logic Model will produce a role model that has a role to produce patterns so that it can produce the same goal. A method of Composite Logic will collaborate with the Digital Forensics Investigation framework to produce a Digital Evidence Collection Framework on Social Media. Based on data and facts, this study has been producing a new framework of gathering digital evidence on social media. The framework has four main stages in the process of collecting digital evidence on social media including pre-process, collection, analysis, and report.
PENGARUH PEMBERIAN PENGUATAN TERHADAP MOTIVASI BELAJAR SISWA KELAS V SDN 018 RANTAU SIALANG KECAMATAN KUANTAN MUDIK KABUPATEN KUANSING

This research is in the background by the weakness of student learning motivation in the teaching and learning process, one of which is characterized by students tend to be passive and less enthusiastic. The purpose of the study was to find out whether there was an effect of giving reinforcement to students 'learning motivation and how much influence the giving of reinforcement on students' learning motivation. The approach in this study is quantitative with the type of experimental research, the design of this study is pre-experimental. The pre-experimental design used in this study was one pretest-posttest group. The subjects in this study were 27 grade V students of SDN 018 Rantau Sialang with 8 men and 19 women. The variables in this study are the variables of giving reinforcement and student motivation. Data collection using documentation and questionnaires. Validity test using Pearson product moment formula and reliability test using Alpha formula. The analysis prerequisite test used the normality test with the Kolmogrov-Smirnov One Sample test using SPSS 17.0 for windows. Hypothesis testing uses the t test with the help of SPSS and the last effect test. The results showed that there was an effect of giving reinforcement to students' learning motivation, as evidenced by the results of the t test at a significant level of 1% and 5% namely tcount&gt; ttable or at level 1% (7,751&gt; 1,298) at the level of 5% (7,751&gt; 1,674). Calculation of the effect test (effect size) obtained by ES is 3.146, this figure is included in the high category because the effect size is more than 0.8. It was concluded that giving reinforcement had an effect on the learning motivation of V grade students of SDN 018 Rantau Sialang Kecamatan Kuantan Mudik Kabupaten Kuansing with a high category
Fiscal policy and foreign trade as a determinant of economic development – focus Kosovo

&#x0D; The purpose of this paper is to identify the role of fiscal policy in Kosovo, comparing with the Western Balkan countries, in the trends of economic development, which are related to the international market, and how to achieve the objectives of the economy of Kosovo, penetrating the foreign market of local companies, using fiscal policy instruments. Data processing is performed using deductive-analytical methods, describing and comparing research findings by commercial companies, extracting data and comparing official reports of national and international institutions on the role of policies analyzed in the Western Balkan countries and in Kosovo, and the results of the research are based on these analyzes. Each sovereign state has its own fiscal policy operating within the financial system of that country, which also influences the development trends of international trade, the same applies to Kosovo and the Western Balkan countries, where this policy includes customs tax, VAT, tax in personal income, etc. The government of the country, through fiscal policy instruments, creates conditions for companies to be as present in the foreign market as possible with their products, which impacts on the overall economic development of the country. achieved. The paper provides insights into the state of the fiscal system in Kosovo, how fiscal policy affects the creation of conditions for foreign trade development, where is Kosovo's economy is in relation to the Western Balkan countries and what are the steps needed to improve it. The paper provides real data on the state of the fiscal system in Kosovo and its full role in the development of foreign trade in relation to the Western Balkan countries.&#x0D;
A Scalable Load Balancing Scheme for Software-Defined Datacenter Networks based on Fuzzy Logic

In order to solve the problem that traditional load balancing technology lacks sufficient scalability and flexibility, we propose a dynamic and scalable load balancing scheme based on fuzzy logic for datacenter networks using the SDN architecture characteristics of control and forwarding separation, named LBSFL.The main parameters affecting the server load performance are analyzed and used as the input variables of fuzzy logic system to evaluate the server load, and then SDN controller schedules current network requests to achieve server load balancing.Additionally, we take into account the issue of server activation and deactivation under various traffic loads in this scheme.The experimental results show that the response time of the system can be increased by about 15% compared with LBBSRT, and it can also maintain the system load between the lower (30%) and normal (50%) boundaries.The scheme can greatly improve the load balance of servers under the premise of guaranteeing the network performance.
Learner Translator Corpus: Italogreco or Another Way to Confirm Teachers’ Intuitions

This paper describes a project developed within an ongoing study at the University of Athens. In our previous studies we analyzed the errors of Greek learners of Italian language, using Learner Corpora evidence and we retrieved useful information about their interlanguage and its interaction to the language learning process. In this study we assume interlanguage is a tool that can help us to distinguish the language errors from the translation errors and identify the most frequent errors and the causes. For this reason, we focus on specific linguistic areas and we examine a learner translator Corpus. The results are interestingly different from the ones that a language teacher would expect.
How to make a maker librarian

Makerspaces are simply a location for open exploration, tinkering, problem solving, and critical thinking for all. This definition and idea ties in well to the focus of the Knowledge School. Makerspaces and the librarians who work in them aim at being socially just, community based, and focus their maker learning locations toward their practitioners. Those in schools, universities, and communities who are often charged to implement a maker location. When a student graduates from a Masters of Library and Information Science program or iSchool are they are ready to work with makers in their community? Are they ready to learn and train themselves? Are they ready to continue growth in their own knowledge? Have their programs of study, their schools of knowledge trained them appropriately? This article delves into case studies focused on that very discussion.
Cooperative Principle Implementation between Teachers and Students Indonesian Language Teaching Case

This research aimed to explain the context of learning by applying the principles of cooperation during the teaching and learning process in the classroom, and the relationship of working principles between teachers and students. This study used a qualitative descriptive approach. The research subjects were Indonesian language teachers and students in Tampaksiring Senior High School 1. To gain data, the methods of recording, observation, and interview were applied. Data analysis was conducted with three stages of analysis, namely the stage of data collection, the stage of data verification, and the stage of drawing conclusions. The results showed that the application of the principle of cooperation was influenced by the context in the teaching and learning process, and was dominated by formal situations. In the principle of cooperation, the teacher and student are dominated by quantity maxim, quality maxim, relevance maxim, and manner maxim. It is concluded that by applying the principle of cooperation, especially in Indonesian learning, an atmosphere of effective and efficient teaching and learning will be built.
Diagnosa Penyakit Rubella Menggunakan Metode Fuzzy Tsukamoto

Rubella or better known as German measles is a viral infection characterized by a red rash on the skin. Lack of general public understanding of this disease makes the number of patients with Rubella increasing. So Fuzzy Tsukamoto's method is used to detect Rubella disease. The purpose of this study is to facilitate the public in understanding about Rubella disease so as to reduce the number of sufferers of this disease. The first step to detecting Rubella disease is to determine the fuzzy set and the domain which includes 3 variables: red rash, swollen lymph nodes, and fever. The output of fuzzy calculations is someone experiencing Rubella or normal symptoms. The value obtained from the calculation process usig the Tsukamoto method is 6.00.
Simulation and Analysis of Force on Human Leg by Finite Element Model at the Moment of Wave Impact

Yang, T. and Chen, X., 2019. Simulation and analysis of force on human leg by finite element model at the moment of wave impact. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 125–130. Coconut Creek (Florida), ISSN 0749-0208.The impact of waves on the legs is a typical action in the sport of surfing at sea, and it is also an action that causes the body to be damaged. With the dynamic analysis of the burst of the waves on the legs in the sport of surfing on the sea, the analysis of the generating force is carried out. Because of the non-linear characteristics of ARMA model, the accuracy of finite element mechanical analysis of human leg force is not good for the motion model which has strong inertia mechanics effect of wave impact on leg. Based on the characteristic decomposition model of inertia mechanics, this paper presents a dynamic analysis model of wave impact on the legs of human body in the sea surfer movement, and analyzes the burst kinetic energy of the wave impact on the leg in a six-degree-of-freedom space. First, the forward kinematics algorithm is used to obtain the finite element space of the force on the legs of the human body, and the kinematics solution of the moment of shock of the waves is realized by the analytic method. The global and local parameters of the human leg force and contact force during the wave impact on the legs are analyzed, and the precision of solving the parameters is improved. The simulation results show that the method can be used to analyze the mechanics of the human leg in the moment of wave impact in the sea surfing. The parameter estimation is accurate and reliable and the performance is superior. The method can effectively guide the training of the sea surfing sport.
Reliability Modeling and Analysis of Ship Communication Network Based on Apriori Algorithm

Xie, C.; Shi, P.; Cao, F., and Qian, Y., 2019. Reliability modeling and analysis of ship communication network based on apriori algorithm. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 711–716. Coconut Creek (Florida), ISSN 0749-0208.Ship communication network is prone to distortion due to crosstalk between ships. In order to improve the accuracy of data transmission and improve communication quality, a reliability modeling method of ship communication network based on Apriori algorithm is proposed. The transmission link model of ship communication network is constructed, and the fuzzy PID neural network control model is used to control the reliability of the link forwarding node of ship communication network, so as to realize the optimal deployment of the link forwarding node of ship communication network. Taking output forwarding delay, bit error rate and network throughput as constraint parameters, the reliability modeling objective function of ship communication network is constructed. The optimal parameters are optimized by Apriori learning algorithm, and the routing detection protocol of ship communication network is designed. Implementation of network routing optimization design. The simulation results show that the reliability of ship communication network is modeled by this method, the accurate probability of data transmission is improved, the bit error rate of communication network is low, and the quality of ship communication network is improved obviously.
Cloud-Driven Application for Measurement of Wound Size.

A web-based tool is described to store images of ulcers and measure ulcer size automatically. The web tool enables doctors and caregivers to upload images from any device. The ulcer size is automatically extracted using image processing algorithms.
Lilia, A Showcase for Fast Bootstrap of Conversation-Like Dialogues Based on a Goal-Oriented System

Recently many works have proposed to cast human-machine interaction in a sentence generation scheme. Neural networks models can learn how to generate a probable sentence based on the user’s statement along with a partial view of the dialogue history. While appealing to some extent, these approaches require huge training sets of general-purpose data and lack a principled way to intertwine language generation with information retrieval from back-end resources to fuel the dialogue with actualised and precise knowledge. As a practical alternative, in this paper, we present Lilia, a showcase for fast bootstrap of conversation-like dialogues based on a goal-oriented system. First, a comparison of goal-oriented and conversational system features is led, then a conversion process is described for the fast bootstrap of a new system, finalised with an on-line training of the system’s main components. Lilia is dedicated to a chit-chat task, where speakers exchange viewpoints on a displayed image while trying collaboratively to derive its author’s intention. Evaluations with user trials showed its efficiency in a realistic setup.
Simple Speech Transform Coding Scheme using Forward Adaptive Quantization for Discrete Input Signal

We propose a speech coding scheme based on the simple transform coding and forward adaptive quantization for discrete input signal processing in this paper. The quasi-logarithmic quantizer is applied to discretization of continuous input signal, i.e. for preparing discrete input. The application of forward adaptation based on the input signal variance provides more efficient bandwidth usage, whereas utilization of transform coding provides sub-sequences with more predictable signal characteristics that ensure higher quality of signal reconstruction at the receiving end. In order to provide additional compression, transform coding precedes adaptive quantization. As an objective measure of system performance we use signal-to-quantization-noise ratio. Sysem performance is discussed for two typical cases. In the first case, we consider that the information about continuous signal variance is available whereas the second case considers system performance estimation when we know only the information about discretized signal variance which means that there is a loss of input signal information. The main goal of such performance estimation comparison of the proposed speech signal coding model is to explore what is the objectivity of performance if we do not have information about a continuous source, which is a common phenomenon in digital systems.
Automatic Personality Analysis through Signatures

Handwriting analysis or Graphology is the most widely used tool for personality analysis.Writing is a process in which the brain and muscles are involved.Each time a person writes a particular thing specific neuro-motor control is triggered and almost same pattern is generated.These neuro-motor controls are highly affected by age, behavior, drug addiction etc.That is why Signatures or handwriting are treated as behavioral biometric.Specific behavioral traits are associated with a specific signature pattern.These patterns can easily be decoded by skilled graphologists.This paper proposes an automated technique to identify some basic traits of the person on the basis of his/her signature.The proposed system uses basic signature traits like proportion, size, baseline, slanting and space to identify behavioral traits of the signer.Personality types are divided into four pairs of dominant traits.Each pair consist of two extremes.The signer is characterized on the basis of these dominant classes.
OPTIMALISASI ALGORITMA C4.5 MENGGUNAKAN ALGORITMA GENETIKA UNTUK PREDIKSI KELULUSAN SISWA SMKN 2 CIMAHI

SMK 2 Cimahi is an educational institution Vocational high school in Cimahi. Vocational high schools play an important role in creating the best graduates for the needs of the workforce. The graduation process is the latest activity of student management. Student graduation criteria for national exams must meet minimum scores, complete all subjects, take school exams, national exams, and competency tests. In the 2015 class of 300 students, students who did not pass the national exam were 1 student, in the 2016 class of 299 students, students who did not pass the national exam were 1 student, whereas in the 2017 class totaling 302 students 100% students graduate on time. However in the coming year, it is still unknown whether students will be 100% graduated or not. Therefore this study was conducted to predict student graduation using the C4.5 algorithm + Genetic Algorithm. C4.5 algorithm has an accuracy rate of 99.78%, precision of 99.78%, 100% recall and 1 second execution time. While the C4.5 + genetic algorithm has an accuracy rate of 99.78%, precision of 99.78%, 100% recall AUC 0.500, and 36 second execution time and after T-test testing between the C4.5 Algorithm and C4 Algorithm .5 +, Genetic Algorithm is said to be significant if alpha = 0.050. The results of this study obtained alpha = 1,000.