Reviewerly/exHarmony huggingface dataset:
Blockchain technology opportunities in Kurdistan, applications and challenges

&lt;p&gt;Recently, the blockchain technology has received a vast popularity because it brought revolutionary changes to some industries due to the fact that this technology enables the implementation of secure, decentralized and trustworthy applications. Moreover, this technology has many advantages over centralized systems such as immutability and transparency. The most common application of the blockchain technology is the Bitcoin cryptocurrency, which provides a method of transferring money in a secure way without the involvement of a central authority. In addition to the Bitcoin, there are other applications based on the blockchain technology in a variety of sectors and industries such as governance, healthcare and supply chain. In this paper, we discuss blockchain applications that can be implemented in Kurdistan and we highlight their opportunities and challenges.&lt;/p&gt;
A study on public perception and preferences about IoT security

Configuring internet of things (IoT) devices with easy or default passwords leads to serious vulnerabilities. In recent years, malware (Mirai etc.) which are capable of creating IoT botnets and organizing distributed denial of service (DDoS) attacks have given rise to service disruptions, reputational and financial loss. In this study, we aimed to determine users' perceptions of security and risks related to IoT devices, preferences of password usage and password security. A questionnaire was employed to collect data and findings were discussed.
Distributed Computing with Permissioned Blockchains and Databases (Dagstuhl Seminar 19261)

This seminar report contains the motivation, abstracts, and findings of Dagstuhl Seminar 19261 Distributed Computing with Permissioned Blockchains and Databases which took place in late June 2019. It brought together a very good mix of people from academia and industry as well as from databases and related areas for which blockchain is a current topic and who are either users or developers in that field.
A target classification method for unmanned surface vehicle based on extreme learning machines

In the process of autonomous navigation and obstacle avoidance of unmanned surface vehicles (USV), it is important for USVs to classify maritime targets correctly and effectively. In this paper, aiming at the recognition of surface targets for autonomous navigation of USVs, three kinds of targets are mainly considered, namely ships, buoys and islands. Visual sensors are installed on the USV to acquire visual images of maritime targets, and then the images are sent to the computer for automatic recognition. The invariant moments of three kinds of target images are extracted firstly, and target feature library will be built through image invariant moments, then an extreme learning machine (ELM)-based neural network is trained and then used to classify and recognise the sea targets. In addition, the sea targets are classified and analysed by AdaBoost-BP. The simulation results show that the ELM-based classification method proposed in this paper has a better performance for maritime targets.
Influence of level of study on information literacy skills of undergraduate students in Nasarawa State University, KEFFI

A high degree of essential information literacy skills and experience in information handling and in effective independent learning among students have become apparent. However, the determinants of their art of navigating the world of information available to them are unclear. It is therefore, imperative to identify those essential determinants that influence the information literacy skills of the undergraduate students. The study used descriptive survey design, which aims at determining the influence of level of study on information literacy skills Possessed by undergraduate students in Nasarawa State University, Keffi. One thousand students were sampled from the population for the study. One research question which was raised to guide the study was subsumed in a hypothesis. Questionnaire was used to collect the data which were analysed using mean and standard deviation while t-test statistic and ANOVA was used to test the hypothesis at 0.05 level of significance. The outcome of the findings revealed that level of study significantly influences the information literacy skills of undergraduate students in Nasarawa State University, Keffi.Keywords: Information, Information Literacy, Information Literacy Skills, Literacy skills
DYNAMICS OF DISTRIBUTION OF CLIMATIC PARAMETERS ON PHASES OF A 11-YEAR CYCLE OF SOLAR ACTIVITY

The drift of extreme values of climatic parameters over the phases of the 11-year cycle of solar activity was found.It may be due to the difference in the duration of the climatic and solar cycles.The existence of a high correlation coefficient of 0.87 between the planetary geomagnetic index aa and changes in the amplitude of the annual temperature variation indicates that the solar wind has a significant influence on temperature changes in this frequency range.
A Comparative Study of Vectorization Methods on BugLocator

CONTEXT: Debugging is a labor-intensive and time-consuming activity. Automatic bug localization techniques have been proposed for reducing this effort. Among the techniques, Information retrieval (IR) based bug localization techniques take a bug report and give a rank list of source modules which are likely to cause the bug. Those techniques use a few variants of tf-idf vectorizations for bug reports and software modules though different vectorizations may give vastly different performances. OBJECTIVE: To explore the effects of vectorization methods on IR-based bug localization. METHOD: An empirical evaluation was conducted with 46 public data sets and 6 vectorization methods. BugLocator was used as a test bed. RESULTS: We found a vectorization used in BugLocator was one of the best. However, we found a better vectorization for representing software modules. CONCLUSIONS: It is worth to examine different vectorization methods for better IR-based bug localization because a preference for the methods can change as demonstrated in this study.
Three Dimensions of User Risk-Taking: Individual Differences in the TriRB

Ben-Asher and Meyer (2018) developed a model of risk-related behavior in computer systems, named the Triad of Risk-related Behavior (TriRB). It identified three behaviors – the exposure to risk, the use of security features and the responses to security indications. Various factors affected the three behaviors differently. We report an experiment with 83 participants who performed the Tetris-game like task, designed for studying the TriRB. We also collected data on four measures of individual differences in risk-taking (BART, DOSPERT and questionnaires on assessing risk aversion in the utility functions). We computed the correlations between the behaviors in the TriRB and the risk measures. Different risk measures were correlated with the three behaviors, supporting the notion that these are indeed three different risk-related behaviors and not expressions of a general underlying tendency to take risks. We discuss some implications of these findings for cybersecurity research and praxis.
From Circuitry to Live Improvisation (and Back): Hacking One’s Way Through Contemporary Electronic Music

Nicolas Collins is Professor at the School of the Art Institute of Chicago. Influenced by Alvin Lucier, David Tudor and punk culture, his work is at the intersection of experimental music, computer music, and sound art. During his career, he invented numerous musical devices by hijacking or altering existing technologies: CD players that play the sound produced by a disc when it is paused (Broken Light, 1991); attached to a trombone, a signal processing system that combines a digital reverb and a Commodore 64 motherboard (Tobabo Fonio, 1986); or discarded electronic circuits “reanimated” by probes that interact with other electronic components to create feedback (Salvage, 2008). He also wrote Handmade Electronic Music: The Art of Hardware Hacking (Routledge, 2009), an influential introduction to the world of musical hacking. In this interview, Nicolas Collins describes his journey as an artist at the crossroads of experimental music, computer music and sound art, and explains why hacking matters that much within today’s artistic practices.
INHERITANCE MECHANISM REALIZATION DURING ELECTRONIC DEVELOPMENT OF EDUCATIONAL PROGRAMS

The article describes the implementation of the mechanism of inheritance of educational programs in the process of electronic development of educational documentation of the university. The purpose of the inheritance mechanism is to improve the processes of automated development of educational programmes and to ensure internal consistency of educational documentation.&#x0D; In the course of the study, the concept of inheritance of educational programs was introduced as a mechanism to take into account the information of parental educational programs when describing the elements of subsidiary programs corresponding to this information. The possibilities of applying the inheritance mechanism in situations: 1) preparation of documentation of similar programs implemented on different forms of training are disclosed; 2) creation of different versions of documentation of educational programs, depending on the year of reception; 3) creating one child program based on several parents; 4) multiple inheritance of a series of related educational programs. Functional requirements for the educational program development tool system are described for each of the above situations. Actual data on the impact of the inheritance mechanism in the development of educational programmes are presented.&#x0D; Thus, the inheritance of educational programs is an effective mechanism for developing educational documentation in an electronic environment. This mechanism significantly reduces the cost of developing similar programs, as well as improving the quality of the university 's educational documentation by improving the consistency of its parts.
ANALISA DATA EKSPEDISI PAKET DENGAN MENERAPKAN ALGORITMA ROUGH SET (STUDI KASUS: JNE AGEN MENTENG MEDAN)

In analyzing data with data mining using the Rough Set algorithm which has results in the form of rules (rules). The process of determining the rules in the Rough Set method starts from processing the Microsoft Excel database, and continues testing with the Rough Set method. Thus producing General Rules which will become new knowledge in this research.With the existence of data mining using the rough set penilus algorithm, it can analyze data and provide solutions to the weaknesses faced in the menteng Medan field agents that have occurred so that it can be used as an alternative to solving problems in packet expedition encountered so far.Keyword: Data Mining, Descision System, Equivalen Class, ,General Rules, Rough set,Reduction
MENGUAK INFORMASI VIA ALEXA.COM SEBAGAI EVALUASI MENUJU OPTIMALISASI KEBERAKSESAN TERHADAP PERPUSTAKAAN DAN INSTITUSINYA

&lt;p&gt;Website institutions is an important part in order to promoting an institution to public widely. Website able to penetrate the various layers of society in a variety of conditions. Therefore, alexa.com initiative to calculate and make coarse count data of various possibilities for the treatment of society against the institution’s website, so that it can be made a ranking, a good popularity world-class website and the state level, people’s interest in the website, and also parts which websites most interested in a particular website’s home institution.&lt;/p&gt;&lt;p&gt;Keywords: institutional website, evaluation, optimization of access&lt;/p&gt;
Old, incorrect, and obsolete: Why out‐of‐date content hurts your website

College and university websites are known to sprawl. Over time, this “content clutter” can negatively impact user experience and adversely affect branding efforts.
УЗАГАЛЬНЕННЯ ПРАКТИКИ ПРОГРАМУВАННЯ І МАЙБУТНЄ ШТУЧНОГО ІНТЕЛЕКТУ

Machines are becoming more reasonable. Their theory is completely subordinated to the Ideal Mathematics of Plato. Practice is generalized by the authors by means the ten ideals of Plato (1997-2009). The maximum capabilities of machines are fixed by the purely functional programming of the 10th ideal – the output model, where the strategy of development for given priorities necessarily ensures the new ability of the machine to respond to external influences and adapt. This is a direct path to the creation of artificial intellect.If no priorities are given, they are vague, then the machine requires the rudiments of logic that imitate selective conclusions. Use the training of neural networks by stochastic optimization of functions with an extremely large number of parameters by methods of back propagation of the error. A generalization of the practice of constructing such structures allowed the authors to create the 11th ideal number – a learning model with a new reasonable property – the logical conclusion of a mutual combination of several strategies. This is a reliable «neural foundation» of future intelligent machines.If we provide a clever connection of the 11th ideal via the Internet with Google or other knowledge bases, so the resulting new 12th ideal will provide freedom of strategy, the ability of the machine to independently program its new solutions – rudiment of artificial intellect. Created by him in collaboration with other similar intellects, even more intelligent machines based on the models of the last four (13-16) ideals of Ideal mathematics of Plato will surpass the development of the people's mind (family, tribe, nation, Mankind) and can become Robotkind – the highest virtual level of the World Reason of God. And dissolve in it. And what will happen to the Mankind? «The earth was without form and void, and darkness was upon the face of the deep, and the Spirit of God moved upon the face of the waters» (Gen. 1: 2).A close relationship has been established between the ideal mathematics of Plato and the perfection of intelligent machines. Please, progress faster than an artificial intellect, become «more virtual» it!
Strategi Metode Student Facilitator and Explaining dalam Meningkatkan Prestasi Belajar Peserta Didik

Learning with the Student Facilitator And Explaining Method influences the learning achievement of students. The study in this paper is 1) The strategy of implementing the Student Facilitator and Explaining method, 2) How are the indicators of student achievement in the PAI Subject before and after the Student Facilitator and Explaining method implemented in student achievement. Based on the explanation above, it can be concluded that Student Facilitator And Explaining learning is a series of learning activities initiated by the teacher delivering the subject matter by demonstrating, then students are given the opportunity to explain back to other students by using other forms such as charts or concept maps. The implementation of learning using the Student Facilitator And Explaining technique invites students to actively participate in participating in learning. Students observe subject matter through demonstrations. Students record important things that are demonstrated by the teacher, make summaries and conclusions. Furthermore, students also make a chart or outlines of the teacher's explanation as material to explain back to other students. The learning process with this Student Facilitator And Explaining technique students can increase activity, motivation, and creative thinking that makes learning more interesting and enjoyable. Students are not only as learning objects, but also as subjects who understand the concepts through observation, discovering, and constructing the concepts owned by students with newly acquired concepts so that their learning achievement increases. Learning achievement achieved by someone is the result of the interaction of various factors that influence both internal and environmental factors.
Digital Marketing: A Study On Artificial Intelligence On The Effectiveness &amp; Its Influence On Small Retailers &amp; Customer Satisfaction

India, as the global research and development hub for Manufacturing, has enhanced more and more with digital marketing. We are in a society driven by digital technology, such is its impact that there are countries where citizens don’t have running water, but own Smartphones. Digital marketing has an incredible influence on people’s interactions, work purchases, and life habits. The objective of this paper is to study the different facets of artificial intelligence, to understand the influence of digital marketing in customer satisfaction and to understand the influence of digital marketing on small scale retailers concerned to artificial intelligence. Data were collected using a self-administered online questionnaire. Data were collected from a sample of 51 small retailers located in southern part of Pune using convenience sampling method. Digital marketing with the help of Artificial Intelligence makes it easy to rope in customers and also in shaping modern life.
There Is Always an Exception: Controlling Partial Information Leakage in Secure Computation

Private Function Evaluation (PFE) enables two parties to jointly execute a computation such that one of them provides the input while the other chooses the function to compute. According to the traditional security requirements, a PFE protocol should leak no more information, neither about the function nor the input, than what is revealed by the output of the computation. Existing PFE protocols inherently restrict the scope of computable functions to a certain function class with given output size, thus ruling out the direct evaluation of such problematic functions as the identity map, which would entirely undermine the input privacy requirement. We observe that when not only the input x is confidential but certain partial information g(x) of it as well, standard PFE fails to provide meaningful input privacy if g and the function f to be computed fall into the same function class. Our work investigates the question whether it is possible to achieve a reasonable level of input and function privacy simultaneously even in the above cases. We propose the notion of Controlled PFE (CPFE) with different flavours of security and answer the question affirmatively by showing simple, generic realizations of the new notions. Our main construction, based on functional encryption (FE), also enjoys strong reusability properties enabling, e.g. fast computation of the same function on different inputs. To demonstrate the applicability of our approach, we show a concrete instantiation of the FE-based protocol for inner product computation that enables secure statistical analysis (and more) under the standard Decisional Diffie–Hellman assumption.
THE PROBLEM OF COMMUNICATION BETWEEN EDUCATIONAL SYSTEM AND POLITICAL SYSTEM: DILEMMAS AND CONFLICTS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 807-813ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0250Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Efficient ADP Scheme for DWT Computation

Abstract In this paper, the lifting and flipping scheme for discrete wavelet transform (DWT) computation and proposed an area delay efficient lifting based DWT architecture. In this computation huge number of multipliers and adders are saved when lifting based 2-D DWT architecture implemented. The derived full-parallel lifting-based 1-level 2-D DWT structure involves half number of less multiplier than the flipping-based 2-D DWT structure. Compared with the existing lifting-based structure, the proposed lifting-based structure involves 21.38% less area-delay-product  (ADP) for block size 32. Keywords: VLSI, Discrete hardware, DWT, Lifting scheme Cite this Article Vikas Tiwari. Efficient ADP Scheme for DWT Computation. Journal of Microelectronics and Solid State Devices . 2018; 5(3): 22–26p.
Perancangan Busybook Sebagai Produk Merchandise Untuk Yayasan Hayu Maca

Abstract Indonesia placed second in the lowest of 61 countries in research on the level of literacy of a country. The results of this study are quotes from the very low reading interest of the Indonesian people. From most of the communities that were moved to build a reading interest of the Indonesian people, one of them was the Hayu Maca Foundation which has been engaged in literacy for 2 years. Storytelling is one of the efforts to increase children's interest in reading, with this Hayu Maca Foundation often brings the story of Landi Si Landak, Mamau Harimau, Gaga Si Gajah and others which are icons of the iconic Hayu Maca Foundation. The iconic character of the Hayu Maca Foundation displays their merchandise which consists of Tshirts and Pins. Researchers see this as a business opportunity to make merchandise products related to literacy. Collecting research data with qualitative data collection methods by collecting interview data, observation, literature study and experimentation. One product related to literacy and also in accordance with the market target of the Hayu Maca Foundation is a Busybook. The researcher will design Busybook with the iconic character of the Maca Hayu Foundation, Landi Si Landak, this Busybook will contain various fine motor activities, life skills and tell about Hedgehogs in their habitat. Busybook made from dry fit cotton fabric which is printed with digital printing techniques and given a surface application technique to make fine motor activities and contains stories about Landi Si Landak Jawa in it. This busybook will be aimed at children between 45 years old. The results of this study indicate that the Busybook created by the author has the advantage of other busybooks in the market, namely the stories in them. This story can increase knowledge about Javanese hedgehogs, increase children's reading interest and early reading skills. Keywords Busybook, merchandise, Business Opportunities, Hayu Maca Foundation, Landi Si Landak
IMPROVING ENGLISH SPEAKING SKILL WITH LOCAL CULTURE-BASED LEARNING THROUGH BIG BOOK

This study aims to describe the implementation of language learning by applying local cultures through big book and to find out the improvement of students’ English speaking skill by using big book. This study applies Classroom Action Research (CAR) which had two cycles consisted of planning, action, observation, and reflection. This study involved 30 students of grade VB of Islam Kreatif Muhammadiyah Elementary School Cianjur. The data of this study were gathered from observation, questionnaire, and interview. Then, the data were analyzed by comparing the score of each cycle for the quantitative data and triangulation for the qualitative data. According to the data, the study indicates there was an improvement in cycle one to cycle two. In cycle one, the average score was 64,4 and 76,9 in the cycle two. Furthermore, the students admitted that big book was improved their local culture knowledge, but they were not conscious that their speaking abilities were improved. The students also felt excited and enjoyed the teaching learning process. Based on these results, the researchers concluded that learning language combined with local cultures by using big book gave positive impacts on improving students’ English speaking skill and students’ local cultures knowledge.