Unlimited Resources Research Articles

Humani potencijal u funkciji stvaranja intelektualnog kapitala

The new era in which we find ourselves certainly has many challenges but as well many chances. By entering in, the era of knowledge, we are conditioned to radically change the status of human potential and with that the strategies of relationship towards homo sapiens (reasonable man) as potential. In the knowledge era, man is no longer an extended hand of machines. In order to survive in the game with modern technical-technological development trends, it is inevitable for him to take over its naturally given uncompetitive role of unique thoughtful being with unlimited intellectual potential and inevitable in the process of creating the new value. Constant development, changes conditioned by automation, globalization, informatization, for a "reasonable man" can be an unprecedented threat or a civilizational chance to discover, develop, materialize his hidden intellectual potential. In the conditions of the new economy, intellectual potential takes on not only a leading but a key role. Modern research shows that inventiveness and innovation create a leverage effect, directing the intellectual potential to create new high-tech achievements. There are more and more companies which establish the value of its service or product precisely on the discovery, development, materialization of intellectual potential as an unlimited competitive resource. The subject of this paper is to show the importance of research and finding new approaches, new tools, new methods for detection, development, materialization of unlimited intellectual potential of the "thinking man". The goal of this paper is to raise awareness of the chance, which humanity has not had up until now, in the domain of natural resource from the role of "talking tool" or "extended machine hand" to take on the role of "unique, thinking, creative, inventive, unlimited, potential". In this paper, we also only superficially touched on possible modern methods for discovering, developing, materialization of human potential, such as: business consulting, business coaching, business mentoring.

The Role of Cloud Computing in Energy Cyber-Physical Systems

Due to the latest advancements in innovative communication technologies, Energy Cyber-physical Systems (ECPS) have gradually transformed from a conventional simple type of system into a heterogeneous and more complex system incorporating computational and communication abilities that enables various embedded devices to monitor, communicate, sense and control the physical world. As a system with huge computational and storage needs, cloud computing seems to be a promising solution offering several possibilities and functionalities coupled with access to unlimited resources in a virtualized and scalable manner. Cloud computing has the ability to create an on-demand facility to gain admission into networks coupled with several integrated computational resources that can be promptly delivered with least managerial effort or little or no interaction from service providers. In this work, the role cloud computing plays in an energy cyber-physical system is explored with a view to analyzing its integration, characteristics and requirements and ascertaining its relevance in the research space. Results show that Cloud computing in energy cyber-physical systems is gradually receiving attention amongst researchers in this field.

DESIGNING ICT COMPETENCES-INTEGRATED SYLLADESIGNING ICT COMPETENCES-INTEGRATED SYLLABUSES OF READING COURSES (DESIGN AND DEVELOPMENT STUDY OF ENGLISHBUSES OF READING COURSES (DESIGN AND DEVELOPMENT STUDY OF ENGLISH LANGUAGE EDUCATION PROGRAM SYLLABUSES)

ICT education provides the unlimited resources to collect and analyze data, create presentation using ICT tools and acquire depth of knowledge. This research aims to design ICT competence-integrated syllabuses of reading courses (Literal Reading, Critical Reading, Affective Reading, and Syntopical Reading). The types of syllabus for reading courses in this research is process-oriented syllabuses. This research adapted Design and Development Research (DDR). The stages of DDR are need analysis, evaluation, revision, and evaluation. An analysis was also conducted the CEFR-based English reading to provide language learners a set of language qualification to master. The data sources to analyze existing English reading syllabuses were taken from five different universities in Indonesia. The result of sub RQ 1 found that the ICT competences are mostly integrated in teaching methods, and assessments. For the ICT tools in the existing syllabus mostly used computer, laptop, LCD, word and presentation software. UNESCO competence in the existing syllabus mostly integrated implicitly and explicitly in technology literacy. Learning processes mostly appear in the existing syllabus were identifying, discussing, and analyzing. Sub RQ 2 found the integration of ICT into syllabus component can be applied by infusing the ICT indicator into the syllabus components, and the integration of CEFR into learning materials to see the levels of the students. Sub RQ 3 found designing ICT competences-integrated syllabuses of reading courses used process-oriented for the type of syllabus. The components of syllabus that integrated in reading syllabuses were course description, learning outcomes, learning objective, materials, teaching method, assessments, and resources.
 Keywords: ICT competences, English reading syllabuses, CEFR for languages.

Captivity stress influences the DNA damage of Pavo cristatus under environmental conditions of Faisalabad, Pakistan.

The surroundings of wild and captive birds are divergent in existence. Wild birds inhabiting their natural environment have unlimited resources availability. They face variety of captivity stresses when moved from wild habitat to caged enclosures. The effect of similar captivity stresses on the DNA of birds living in cages for longer stretches of time is addressed in this study. The laboratory analysis to investigate DNA damage in Pavo cristatus was performed using single-cell gel electrophoresis (SCGE) or comet assay. Our results showed that measurable DNA damage was observed in Pavo cristatus species. Endogenous stress factors owing to long-term captivity were responsible to cause this damage. The caged conditions provided to the captive birds can be improved in order to prevent DNA impairment. Moreover, appropriate monitoring and effective management are necessary on continual basis to ensure the well-being of caged birds.

ПАРАМЕТРИЧЕСКИЙ ГИДРОЛОКАТОР ТРАВЕРЗНОГООБЗОРА ДЛЯ ОБНАРУЖЕНИЯ И МОНИТОРИНГА РЫБНЫХ СКОПЛЕНИЙ НА МЕЛКОВОДЬЕ

Currently, the state of Affairs for fishing for biological resources of the world's oceans is changing dramatically. Work related to environmental monitoring of marine areas is carried out at the Federal, regional, territorial and local levels. The main purpose of monitoring the state of water bodies is to provide competent authorities and nature users with information about the quantitative and species composition of living organisms, as well as information support for deci-sion-making procedures in the field of environmental protection and environmental safety. Sys-tematic generalization of information about the world's oceans, biological phenomena in the body of knowledge, is necessary for understanding the distribution, abundance and availability of fish. In order not to undermine the biological stocks of hydrobionts of the world's oceans, it is neces-sary to regularly conduct monitoring and research work on the quantitative accounting of biologi-cal resources, regulate quotas for fish and shellfish. Due to the complexity of accounting for bio-logical resources in shallow areas of The world ocean using existing instruments, issues related to the development and research of a traverse survey sonar for monitoring marine hydrobionts in shallow water are considered, since this topic is relevant, and the issue of preserving the biologi-cal diversity of reservoirs has become acute. The technology of traverse survey using sonar is characterized by a high degree of automation, information content, efficiency of research and low labor costs compared to traditional methods based on the use of trawls, dragging. It should also be noted that due to the use of this method, there is no injury to the inhabitants of reservoirs, since often injured hydrobionts die. In the traverse view sonar, a "non-petal " narrow- directional direc-tional pattern is formed in the parametric mode in the vertical plane, which allows increasing the range of action to 700 meters or more. And in the horizontal plane, to increase echo contact and search performance, a wide directional pattern (30–40 deg) is formed by using several pumping antennas installed at a certain angle relative to each other. The development and further applica-tion of the above-mentioned hydroacoustic device will allow creating a kind of database with in-formation about the territorial distribution of fish accumulations in shallow water areas. However, for the practical implementation and creation of such complex technical devices, a whole range of applied research and development work is required. The grandiosity of all that is connected with the human idea of the ocean, served as the basis for a widespread opinion about the unlimited and inexhaustible resources of the world's oceans. However, this opinion is not valid for biological resources. This is evidenced by signs of depletion of fish stocks and other fisheries in irrationally fished areas of the ocean.

THE EFFECT OF E-LEARNING ON STUDENTS’ ACHIEVEMENT IN UNIVERSITAS POTENSI UTAMA

It is believed that internet helps people to do better and faster. It has been used globally in almost every aspects of life. In education, internet is known as the golden key to intelligence, since it offers unlimited resource. It can be learning media in the classroom or while self-learning. Considered as an international language, English is used as main tool of communication on internet. It acts as the language of the instructions and language of the users. It is interesting to analyze its use by students in a developing country like Indonesia. In fact, Indonesia is one of the countries with millions internet users. As a result, e-learning becomes an option to deal with teaching learning process, especially for students of English department. By using internet, they can master certain topics and English themselves better. This study is quantitative research using pre-experimental design. It is aimed to analyze the effect of e-learning on achievement of students in Universitas Potensi Utama. The research result of this study was calculated by using Wilcox on test in which p-value is 0.462 and p> 0.05 which means the Null hypothesis is accepted. So it is concluded that there is no significant difference between e-learning and traditional learning. However, students have positive perceptions on e-learning because they argue that it can make them highly motivated to learn more about the subject.

Software Architecture for Mobile Cloud Computing Systems

Mobile cloud computing (MCC) has recently emerged as a state-of-the-art technology for mobile systems. MCC enables portable and context-aware computation via mobile devices by exploiting virtually unlimited hardware and software resources offered by cloud computing servers. Software architecture helps to abstract the complexities of system design, development, and evolution phases to implement MCC systems effectively and efficiently. This paper aims to identify, taxonomically classify, and systematically map the state of the art on architecting MCC-based software. We have used an evidence-based software engineering (EBSE) approach to conduct a systematic mapping study (SMS) based on 121 qualitatively selected research studies published from 2006 to 2019. The results of the SMS highlight that architectural solutions for MCC systems are mainly focused on supporting (i) software as a service for mobile computing, (ii) off-loading mobile device data to cloud-servers, (iii) internet of things, edge, and fog computing along with various aspects like (iv) security and privacy of mobile device data. The emerging research focuses on the existing and futuristic challenges that relate to MCC-based internet of things (IoTs), mobile-cloud edge systems, along with green and energy-efficient computing. The results of the SMS facilitate knowledge transfer that could benefit researchers and practitioners to understand the role of software architecture to develop the next generation of mobile-cloud systems to support internet-driven computing.

Towards secure big data analytic for cloud-enabled applications with fully homomorphic encryption

Cloud computing empowers enterprises to efficiently manage big data and discovery of useful information which are the most fundamental challenges for big data enabled applications. The cloud offered unlimited resources that can store, manage and analyze massive and heterogeneous data to improve the quality assurance of application services. Nevertheless, cloud computing is exposed to enormous external and internal privacy breaches and leakage threats. In this paper, we introduce a privacy-preserving distributed analytics framework for big data in cloud. Fully Homomorphic Encryption (FHE) is used as an emerging and powerful cryptosystem that can carry out analysis tasks on encrypted data. The developed distributed approach has the scalability to partition both data and analysis computations into subset cloud computing nodes that can be run independently. This rapidly accelerates the performance of encrypted data processing while preserving a high level of analysis accuracy. Our experimental evaluation demonstrates the efficiency of the proposed framework, in terms of both analysis performance and accuracy, for building a secure analytics cloud-enabled application.

Ramp secret sharing with cheater identification in presence of rushing cheaters

Abstract Secret sharing allows one to share a piece of information among n participants in a way that only qualified subsets of participants can recover the secret whereas others cannot. Some of these participants involved may, however, want to forge their shares of the secret(s) in order to cheat other participants. Various cheater identifiable techniques have been devised in order to identify such cheaters in secret sharing schemes. On the other hand, Ramp secret sharing schemes are a practically efficient variant of usual secret sharing schemes with reduced share size and some loss in security. Ramp secret sharing schemes have many applications in secure information storage, information-theoretic private information retrieval and secret image sharing due to producing relatively smaller shares. However, to the best of our knowledge, there does not exist any cheater identifiable ramp secret sharing scheme. In this paper we define the security model for cheater identifiable ramp secret sharing schemes and provide two constructions for cheater identifiable ramp secret sharing schemes. In addition, the second construction is secure against rushing cheaters who are allowed to submit their shares during secret reconstruction after observing other participants’ responses in one round. Also, we do not make any computational assumptions for the cheaters, i.e., cheaters may be equipped with unlimited time and resources, yet, the cheating probability would be bounded above by a very small positive number.

An Efficient Privacy-Preserving Attribute-Based Encryption with Hidden Policy for Cloud Storage

Cloud storage is one of the most widely-used storage services, because it can provide users with unlimited, scalable, low-cost and convenient resource services. When data is outsourced to cloud for storage, data security and access control are the two essential issues that need to be addressed. Attribute-based encryption (ABE) scheme can provide sufficient data security and fine-grained access control for cloud data. As more and more attention is drawn to privacy protection, privacy preservation becomes another urgent issue for cloud storage. In ABE, since the access policies are generally stored in clear text, it will lead to the disclosure of users’ privacy. Some works sacrifice computational efficiency, key length or ciphertext size for privacy concerns. To solve these problems, this paper proposes an efficient privacy-preserving attribute-based encryption scheme with hidden policy for outsourced data. Using the idea of Boolean equivalent transformation, the proposed scheme achieves fast encryption and privacy protection for both data owner and legitimate visitors. In addition, the proposed scheme can satisfy constant secret key length and reasonable size of ciphertext requirements. We also conduct theoretical security analysis, and carry out experiments to prove that the proposed scheme has good performance in terms of computation, communication and storage overheads.

Industrial rocks and minerals of Jordan: a review

Mineral resources of Jordan were utilized by different civilizations since prehistoric time. The following review highlights important and strategic commodities that are found in a small country with a potential promising future. Jordan is rich in its diverse industrial rocks and mineral resources that are part of the whole stratigraphic sequence from the Precambrian basement complex to the Recent sediments. Such diversity of resources enables Jordan to be not only a host of some unlimited resources but also a natural geology museum. The known commodities include, among others, phosphates, bituminous marl (oil shale), tar sand, varicolored marbles, travertine, radioactive minerals, building and construction materials, clays and clay minerals, diatomaceous earth, porcelanite, Dead Sea brines, rock salt, chalk, limestone, gypsum, glass sand, basalt, pyroclastics, zeolites, granite, copper, manganese, gold, etc. Some of these commodities are unique and unusual in its mineralogy, chemistry, and origin. A novel geopolymerization process was developed in Jordan to produce green building materials (geopolymers) by using Jordanian kaolinite. Volkonskoites (Cr-rich smectite) of Jordan act as a sink for hazardous elements. Varicolored marbles of Jordan are considered a natural cement factory and are analogs of cementitious repositories with the highest alkaline circulating waters in the World. New minerals were reported for the first time, some of which are only known in meteorites. The unusual enrichment of the reduced sensitive elements (RSE) in the oil shale (similar to the source of Mississippi Valley-type deposits) makes it unique as a potential source of these strategic elements.

Transnational corporations and economic security: interaction in terms of globalization.

Since the end of the twentieth century, globalization processes in the world take a new level every year. This, in turn, affects the development of transnational companies (TNCs), which spread their influence on the economies of countries across the planet, as well as on the system of international economic relations as a whole. It can be said that, recently, transnationals have been the initiators and main supporters of the introduction of globalization. Given that TNCs have virtually unlimited financial resources, their activities pose threats to economic security for both host and home countries. This is mainly due to the fact that the interests of states and companies in relation to which the economic distribution of TNCs is directed are not fully taken into account, and also because the goals of many TNCs and the countries where they are based contradict the basic principles of economic security. The authors of the article describe the main components of economic security, analyze transnational companies, their impact on the economies of countries, as well as proposed steps to strengthen international economic security and that of the country as a whole.

Loosely Coupled Cloud Robotic Framework for QoS-Driven Resource Allocation-Based Web Service Composition

Cloud robotics leverages the ubiquitous cloud infrastructure including networks, storage, servers, and services to enable robots to access unlimited resources. Most of the recent reported research concentrates on resource allocation for robotic application, yet the interoperability among multiple resources is a critical issue to address. This paper proposes a loosely coupled cloud robotic framework based on web service composition, which can organize multiple resources including robot nodes and cloud nodes to exchange messages through the abstract interface and fulfill complex robotic applications. Furthermore, the resource-deployment method is designed for the proposed framework to organize resources, so that the user overall quality of service requirements can be satisfied. Besides, we propose the concept of “user sensitivity” and cloud-priority strategy. Finally, we propose novel algorithms called GICA-CP and GICA motivated by imperialist competition for the resource-deployment method under the proposed framework. The simulation results demonstrate that the proposed methods can effectively allocate resources and enhance the cloud resource ratio in cloud robotic workflows. The experimental validation is provided to verify the efficiency of our framework further.

The Dynamics of Sasi Laut Practices amidst Local Economic and Political Transformations

This study aims to explain the impact of socio-economic transformation, local political dynamics, and external pressures on the practice of sasi laut in Noloth Village. Data obtained using in-depth interview techniques, literature studies, and observations. The analysis and discussion is done descriptively. The results showed that there were three main things that influenced the practice of sasi laut, namely: the integration of valuable fishery products such as lola, sea cucumbers, and lobsters into the market system had changed the institution of sasi laut from the traditional system to the auction mechanism to the capital owners. While the sustainability of valuable coastal resources is threatened under transfer rights to capital owners who have unlimited resource use motives. On the other hand, sasi laut is under local political pressure between the village elite to take economic benefits. In the end, the practice of sasi laut in Noloth Village has experienced a shift in values from cultural contexts to economic reasoning through the integration of fisheries commodities into the market system. The impact of the transformation of sasi laut practices into its own discourse is related to two fundamental questions of indigenous community-based resource management, namely strengthening traditions and conservation of coastal resources.

Sampling strategies for product lines with unbounded parametric real-time constraints

Combinatorial interaction testing (CIT) has been successfully applied to product-line testing for selecting from a usually very large configuration space a relatively small sample of test configurations sufficiently covering critical combinations of configuration options. As most recent CIT techniques like pairwise sampling are limited to finite configuration spaces (i.e., vectors of yes/no options), they are not directly applicable to configuration parameters with a priori unbounded value domains (e.g., for adjusting unlimited resources or non-functional properties). Applying existing sampling strategies to infinite configuration spaces therefore requires further heuristics for selecting a finite subset of parameter-value combinations to be covered. Nevertheless, applying purely black-box heuristics may produce inherently ineffective test suites in which particularly critical parameter-value combinations are missed. In order to tackle this problem, we present a novel methodology for effectively sampling product lines with infinite configuration spaces by means of freely configurable real-time behaviors. To this end, we employ solution-space information obtained from our new modeling formalism, configurable parametric timed automata, to generate samples for covering critical best-case/worst-case execution-time behaviors. We also present a tool implementation which we applied to a collection of subject systems to demonstrate the applicability of our approach.

Assessing Data Postprocessing for Quantum Estimation

Quantum sensors are among the most promising quantum technologies, allowing to attain the ultimate precision limit for parameter estimation. In order to achieve this, it is required to fully control and optimize what constitutes the hardware part of the sensors, i.e. the preparation of the probe states and the correct choice of the measurements to be performed. However careful considerations must be drawn also for the software components: a strategy must be employed to find a so-called optimal estimator. Here we review the most common approaches used to find the optimal estimator both with unlimited and limited resources. Furthermore, we present an attempt at a more complete characterization of the estimator by means of higher-order moments of the probability distribution, showing that most information is already conveyed by the standard bounds.

A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT

Internet of Things (IoT) has gain the importance with the growing applications in the fields of ubiquitous and context-aware computing. In IoT, anything can be a portion of it, whether it is unintelligent objects or sensor nodes; thus extremely different kinds of services can be developed. In this regard, data storage, resource management, service creation and discovery, and resource and power management would facilitate advanced mechanism and much better infrastructure. Cloud computing and fog computing play an important role when the quantity of data and information IoT are critical. Thus, it would not be potential for standalone strength forced IoT to handle. Cloud of things is an integration of IoT with cloud computing or fog computing which can aid to realize the objectives of evolving IoT and future Internet. Fog computing is an expansion to the notion of cloud computing to the network brim, making it suitable for IoT and other implementations that need real-time and fundamental interactions. Regardless of many virtually and services unlimited resources presented by cloud-like intelligent building monitoring and others, it yet countenances various difficulties when interfering many smart things in human’s life. Mobility, response time, and location consciousness are the most prominent problems. Fog and mobile edge computing have been established, to get rid of these difficulties of cloud computing. In this article, we suggest a novel framework based on computer propped diagnosis and IoT to detect and observe type-2 diabetes patients. The recommended healthcare system aims to obtain a better accuracy of diagnosis with mysterious data. The overall experimental results indicate the validity and robustness of our proposed algorithms.

Socio-educational work in at-risk contexts and professional reflexivity: the multi-vision group of “Maestri di Strada”

ABSTRACT The Association ‘Maestri di Strada’ (MdS) undertakes socio-educational interventions to promote the well-being of young people in the ‘high-risk’ suburbs of Naples. The socio-educational work is not a mere ‘technical-rational’ activity and it relies on the use of ‘self’, which is not an unlimited resource. MdS places great emphasis upon reflexivity after the action and adopts the ‘Multi-Vision Group’ (MVG), which is a modified Balint group, as a support mechanism for its staff. Before trainees begin working, they attend the MVGs, observe them, and provide narrative accounts of the process. In this study, 61 reports prepared by the trainees during an academic year underwent a textual analysis. The aim was to evaluate the reflexive function of the group and the results indicate that, within the MVG, the practitioners express emotions, doubts, and difficulties linked to the job and its high-risk contexts. They show both self-awareness and awareness of the importance of the team, thinking as a community in a cooperative way. These are features related to reflexivity, which is recognised as being crucial for practice; the process of observation and recording also has a high educational importance for the trainees and social work students.

Bang–Bang Growth Rate Optimization in a Coupled McKendrick Model

In this work, we model the time and age evolution of a partially clonal population, i.e., able to reproduce sexually and asexually, in an environment with unlimited resources. The population is divided in two subpopulations, sexual and asexual, whose densities follow a coupled system of McKendrick–Von Foerster equations of evolution. The transition from one subpopulation to another is driven by transition probabilities for newborns to be sexual (resp. asexual) when their parent(s) is(are) in the asexual (sexual) subpopulation. We study the optimization of the growth rate of the whole population, with respect to these transition probabilities. We prove, using a result of the variation of the first eigenvalue (Malthusian growth rate) for this problem, that the maximal eigenvalue is reached when the probabilities are exactly (in time) equal to zero or one. Moreover, depending on birth and death rates of both subpopulations (asexual and sexual), we show that the maximal growth rate is reached when the population newborns switch (completely) from sexual to asexual and then from asexual to sexual (periodically in time) or when a subpopulation disappears.

AgNi@ZnO nanorods grown on graphene as an anodic catalyst for direct glucose fuel cells

Nano carbon-semiconductor hybrid materials such as graphene and zinc oxide (ZnO) have been vigorously explored for their direct electron transfer properties and high specific surface areas. We fabricated a three-dimensional anodic electrode catalyst nanostructure for a direct glucose fuel cell (DGFC) utilizing two-dimensional monolayer graphene and one-dimensional ZnO nanorods, which accommodate silver/nickel (Ag/Ni) nanoparticle catalyst. Glucose, as an unlimited and safe natural energy resource, has become the most popular fuel for energy storage. Ag and Ni nanoparticles, having superior catalytic activities and anti-poisoning effect, respectively, demonstrate a 73-times enhanced cell performance (550 µW cm−2 or 8 mW mg−1) when deposited on zinc oxide nanorods with a small amount of ∼0.069 mg in 0.5 M of glucose and 1 M of KOH solution at 60 oC. This three-dimensional anodic electrode catalyst nanostructure presents promise to open up a new generation of fuel cells with non-Pt, low mass loading of catalyst, and 3D nanostructure electrodes for high electrochemical performances.