bluuebunny/crossref_metadata_2025 huggingface dataset:
GEOLOGY OF TEMBUNI AREA AND SURROUNDINGS IN BINTUNI REGENCY, WEST PAPUA PROVINCE
Authors: Patandianan Eric A. , Randa Angelina M. , Awak Raymond M.
Published: June 2022

Administratively, the study area is located in Tembuni and surrounding area District of Bintuni Papua Barat Province. Geographically located at coordinates 01 ° 47 '00 "latitude - 01 ° 50' 00" latitude (south latitude) and 133 ° 54 '00 "E - 119 ° 57' 00" (East Longitude). The method used for the study is the collection of field data and geological mapping of the surface by recording at each station, taking rock samples for petrographic analysis is then performed based on the data processing is done. The purpose of this study was to obtain geological information in the form aspect of geomorphology, stratigraphy, structural geology, historical geology and extractive potential in the area of further research conducted geological map-making research areas based on four aspects. The research area is divided into three geomorphological units, namely the denudational geomorphological unit with weak-strong waves (D1), the denudational geomorphological unit with strong waves-hills (D2), and the denudational plains unit (D5). The stratigraphy of the study area is divided into two (2) rock units and one (1) sediment, based on lithostratigraphy in order from oldest to youngest, namely: Mudstone Unit, conglomerate unit, and Alluvium and littoral deposits unit. The structure of the research area only found geological structures that developed in the form of a joint secondary structure. The excavated materials found in the research area are excavated materials in the form of rocks originating from alluvial deposits found along the Mogoi Baru village, which are then used as building materials.
CALCULATION OF LIMESTONE VOLUME USING THE SECTION METHOD
Authors: Nainggolan Risky Y. , Horman Juanita R.
Published: June 2022

In the mining industry, it is very important to estimate the amount of mineral resources. This estimation aims to find out the volume of resources at the certain mining survey area. The estimation method used is the cross-section method, which is based on the rule of gradual changes and the rule of nearest point. The estimation using the rule of gradual changes shows that the total volume of limestone resources is 31,420 m³, and the volume of overburden is 27,572.6 m³. Meanwhile, the estimation using the rule of nearest point shows that the total limestone resource is 125,680 m³, and the overburden volume is 30,290 m³.
ANALYSIS OF QUANTITY, QUALITY AND LEVEL MATURITY OF THE KLASAFET FORMATION BEDROCK USING TOTAL ORGANIC CARBON (TOC) AND ROCK-EVAL PYROLYSIS (REP) CASE STUDY OF KYANITE-1 WELL
Authors: Resesiyanto Hastowo
Published: June 2022

The Salawati Basin is one of the basins located in the western part of the Bird's Head of Papua Island and is estimated to be of Tertiary. This basin was formed as a result of the activity of the Sorong Fault which began to be active since the Early Pleistocene. One of the rock formations that has the potential to become source rock in the Salawati Basin is the Klasafet Formation. The age of Klasafet Formation is between Middle Miocene and Late Miocene, which consists of claystone and limestone. Geochemical analysis is one of the techniques in interpreting the source rock potential. This analysis consists of three parts, namely the analysis of quantity, quality and maturity level of the source rock. From the results of the quantity analysis of source rock for the Klasafet Formation, the Total Organic Carbon (TOC) value ranges from fair to good. The quality analysis shows that the source rock of the Klasafet Formation tends to produce type III kerogen, while the maturity level analysis of the Klasafet Formation is in the immature-early mature zone.
CONVEYOR BELT PERFORMANCE OF CRUSHING PLANT UNIT AT PT. NUR HAZANAH KARYA ABADI PRAFI DISTRICT, MANOKWARI REGENCY, WEST PAPUA PROVINCE
Authors: Ongirwalu Abdonsons F. , Pangkung Yulius G.
Published: June 2022

Belt conveyor is an equipment used for transfering material that is widely used in the mining industry. The equipment consists of belts made of various types of materials that are resistant when transporting solid materials. The research aims to figure out the performance of the belt conveyor operated by PT. Nur Hazanah Karya Abadi, to determine the actual and theoretical production of a conveyor belt, and to determine the efficiency of a conveyor belt. The results show the theoretical productions of each belt conveyor fraction is as followed: fraction 1 at 94,396 tons/hour, fraction 2 at 97,164 tons/hour, fraction 3 at 211,566 tons/hour, and fraction 4 at 73,587 tons/hour. The actual productions of each conveyor belt fraction are as followed: fraction 1 at 23,617 tons/hour, fraction 2 at 28,185 tons/hour, fraction 3 at 30,307 tons/hour, and fraction 4 at 8,447 tons/hour. The value of work efficiency on the conveyor belt is 35%. The performance of belt conveyor in PT. Nur Hazanah Karya Abadi, based on the calculation of production and work efficiency, has not really good yet.
PRIMARY PERFORMANCE OF FAN T1 TOG AT PT NHM
Authors: Pulu Patrisia
Published: June 2022

PT NHM is a gold mining company located in North Maluku Province that uses an underground mining system. The TOG mine has a relatively high groundwater temperature due to the contact of tectonic activity in the area with meteoric water from the surface. Therefore, the level of clean air required is relatively more so that mining activities in the tunnel can run effectively. To achieve this, the supply of clean air must be balanced with the amount of dirty air released using Axial fan Howden type AFSO 1200/2450 with 560 kW/690 V motors, which are installed in parallel with a fan diameter of 2,450 mm, speed of 989 rpm with a suction capacity of 315 m3/s. The performance of the primary fan T1 TOG in PT NHM was analyzed by calculating the psychometric value of air in the fan, the value of inlet volume, resistance, air power, and efficiency values. Based on the results of data processing, there were three different conditions. The inlet volume value of the 019 fan is 170.753 m3/s, with a resistance of 0.04 Ns/m8 and an efficiency value of 81%. Meanwhile, the inlet volume value of the 018 fan is approximately 173.27 m3/s, with a resistance of 0.04 Ns/m8 and the fan efficiency value of 85%. For the conditions when both fans are operated simultaneously, the inlet volume value is 306 m3/s, with a resistance value of 0.85 Ns/m8, and the value of fan efficiency of 91%. This means that the performance of the primary fan T1 TOG in PT NHM is in good condition even though the inlet volume produced has not reached the production target according to the company's needs of 315 m3/s.
Ações de educação em saúde no combate às arboviroses
Authors: Araújo Silva Maria Beatriz , Almeida Silva Rafaela , do Nascimento Silva Mariana Luiza , Mary da Silva Jaizyara , Santana Andrade Janaina Larissa , Barbosa da Silva Brito Maria Isabelle , Araújo de Miranda Lopes Katiuscia
Published: June 2022

Arboviroses são as doenças causadas pelos chamados arbovírus, que incluem o vírus da Dengue, Zika e Febre Chikungunya e transmitidas pelo mosquito Aedes aegypti. O aumento atual da ocorrência das arboviroses circulantes no Brasil e no estado de Pernambuco aumenta a necessidade ações de educação em saúde na atenção primária. Foram desenvolvidas ações de educação em saúde na prevenção das arboviroses em Unidades Básicas de Saúde (UBS) de atuação da Universidade de Pernambuco. As palestras educativas aconteceram em "Sala de Espera" das unidades de Saúde nos municípios de Olinda e Recife e na Escola do Ensino Fundamental, área de abrangência da Unidade Básica. O projeto conseguiu sensibilizar 533 pessoas no combate as aborviroses através de suas ações de educação em saúde. Esclareceu dúvidas, explicou formas clínicas das doenças, ciclo biológico e mobilizou os profissionais de saúde em relação às doenças a importância de ações de prevenção na atenção primária. O projeto de extensão contribuiu para consolidação da formação do profissional de saúde comprometido com a comunidade, sobretudo para troca de saberes e melhoria dos indicadores de saúde do estado de Pernambuco através do diálogo e escuta qualificada na sala de espera das unidades de saúde.
Início do diagnóstico de COVID-19 em Pernambuco, adversidades superação e reflexão
Authors: Ferraz de Magalhães Jurandy Júnior
Published: June 2022

Editorial Edição Covid
Promoção e prevenção da saúde bucal na pandemia do Covid-19: Relato de Experiência
Authors: Amorim Gomes Ana Cláudia , Tenório Dourado Chaves Adriane , Lira Pereira de Castro Carla Cecília , Lordsleem de Mendonça Giovana , Oliveira Barbosa Ivana , Veloso de Almeida Letícia , Pereira de Souza da Silva Mariana
Published: June 2022

O presente artigo foi desenvolvido com objetivo de relatar a experiência de uma campanha nas redes sociais, intitulada "Unidos pela Luta CoVID-A”, destinada a apoiar os cuidados sobre a saúde bucal. A campanha foi realizada pelo Projeto de Extensão “Traumatismo dental: O que fazer? ”no período de maio a julho de 2020, com intuito de promover e prevenir a saúde, diante da ameaça da Covid-19. Nesse contexto, 24 alunos da Faculdade de Odontologia de Pernambuco se organizaram, tendo apoio de duas professoras, destinados a arrecadar recursos para compra de máscaras e kits de higiene bucal para população carente. Dessa maneira, foram realizadas ações em hospitais, organizações não governamentais e institutos a fim de contribuir para a melhoria da qualidade de vida e saúde dos indivíduos, à medida que esses itens são de extrema importância para a população diante da pandemia que se está vivenciando. Além disso, os indivíduos foram orientados através de cartilhas, promovendo educação e conhecimento sobre higiene bucal adequada e sua relação com o coronavírus. Portanto, considerou-se que essa campanha contribuiu para o aprendizado e sensibilização da população frente à COVID-19 e evidenciou a importância de se realizar corretamente a higiene bucal, buscando promoção e prevenção da saúde.
Dichlorvos and Paraquat induced avoidance responses in tadpoles (Amietophrynus regularis reuss, 1833) and their contribution to population decline
Authors: Umeokeke Hilary C. , Amaeze Henry N. , Ehiguese Friday O. , Ogunfeitimi Olusola O. , Soriwei Evelyn T. , Labinjo Suuru A.
Published: June 2022

Pesticides notwithstanding their benefits in agriculture pose threats to non-target fauna such as amphibians. This study examined the avoidance responses of tadpoles of the African common toad, Amietophrynus regularis, exposed to Dichlorvos and Paraquat under a non-forced multi-compartmented exposure system (NFS) and estimated the Population Immediate Decline (PID) by integrating avoidance and lethal responses. The NFS was designed to allow the free movement of tadpoles across six compartments in order to elucidate the ability of aquatic organisms to detect and potentially avoid contaminated environments at will. The tadpoles (n=3 per compartment/concentration; 18 per system) were exposed to gradients of Dichlorvos (0, 0.3, 0.5, 0.7, 1.0 and 2.0 mg/L) and Paraquat (0, 1.0, 5.0, 10.0, 15.0, and 20.0 mg/L) in quadruplicates with their distribution recorded every 20 mins for 3 h. 48 h acute toxicity tests under forced exposure system (FS) was performed using the same range of concentrations. Acute toxicity (48 h) response in the FS tests was dose dependent with LC50 values of 0.79 mg/L and 6.46 mg/L recorded for Dichlorvos and Paraquat, respectively. The mean percentage distribution of tadpoles recorded for Dichlorvos and Paraquat was about 11% and 0% in the highest concentrations (2.0 and 20.0 mg/L) to 58% and 69% in compartments with no contaminants (control), respectively. PID was primarily driven by avoidance responses rather than mortality. These findings are of conservation interest as it elucidates the potential of both pesticides to impair local distribution of amphibians and cause biodiversity loss.
Digital Health Research Priorities
Authors: Jacennik Barbara
Published: June 2022

The present-day digital health grew out of telemedicine developed for the provision of health services to patients in remote locations (e.g., seafarers, astronauts). The great potential of the digital and remote services was soon noticed, and technological developments followed, accelerating rapidly during the COVID-19 pandemic.
The easing of the pandemic is a moment for a reassessment and an interdisciplinary reflection on the progress in digital health. Several researchers addressed the barriers and facilitators for the adoption of digital health solutions. The research on AI developments in the processing of big clinical databases is featured in numerous scientific publications. However, the big data approach may have de-emphasised the research on individual care paths of patients. Therefore, it seems a priority to refocus again on patients’ individual paths and outcomes. This may entail more interdisciplinary research on the legal aspects of data privacy protection
The telehealth services changed the degree of social presence in patient-provider interactions, and thus affected the social contract which was the pillar of therapeutic encounters. Many researchers are pointing in the direction of patient satisfaction as a key factor affecting the adoption of digital solutions [1]. Hence the next priority is the research on digital solutions and care management procedures that would improve patients’ acceptance and satisfaction. Considering the shortage of medical practitioners, also more research is needed on the integrated care systems and the involvement of more groups of medical and care specialists.
The key groups of stakeholders’ shaping the landscape of digital health are venture capitalists, digital health companies, payers, and health care system providers or leaders. Their priorities and goals need to be aligned for the digital transformation to become fully adopted in health care systems [2]. The cross-sectional research involving various groups of stakeholders in digital health is yet another priority.
The Implementation of English for Specific Purposes (ESP) in Improving Students Speaking Skill of UKI Paulus Makassar
Authors: Luana Sasabone  , Yuriatson Jubhari  , Sukmawati  , Sujarwo
Published: June 2022

Communicative speaking skill is considered the most essential skill for everyday situations and for a wide range of professions especially in the economic and business sector. The purpose of this research is to improve students speaking skill of UKI Paulus Makassar through the implementation English for Specific Purposes (ESP). This study used Classroom Action Research (CAR) namely (1) planning, (2) actions, (3) observation, and (4) reflection.

For the purpose of the topic, 35 students were selected as the subject. Research method was Classroom Action Research (CAR) with Kemmis and Taggart model. It was conducted for about two cycles namely cycle I and cycle II. According to the results of speaking test, findings showed that the implementation English for Specific Purposes (ESP) in teaching had positive meaningful effect on improving students’ speaking skill after being obtained test results both cycle 1 and cycle II in Economic and Business students of UKI Paulus Makassar
Representation of New Media as a Communication Room and Cultural Acculturation of the Baduy Tribe (Ethnographic Study of the Baduy of West Java)
Authors: Humaini
Published: June 2022

The Baduy tribe is a group of people who have their own values ​​and culture, geographically the Baduy tribe is a group of indigenous peoples in the district of Lebak Banten. There are two areas within the Baduy Tribe, namely the Inner Baduy and Outer Baduy. This tribe is constructed by outsiders with tribes that have their own characteristics and values, ranging from how to dress to procedures or respond to technological tools. This research is purposely to find out how the geographic response of ethnic groups in the province of West Java to respond to information technology (New Media). The research approach using the ethnographic approach is a social science research method that is very intensive in studying the cultural issues of society. The Baduy tribe becomes the object to be studied how the patterns, values, and the daily habits of the tribe in the era of information technology or the New Media era. The results of the study show that the presence of new media provides significance and impact on the daily cultural patterns of the Baduy tribe. New Media brings changes not only to fulfill daily needs such as increasing the economy and getting information. New Media has an impact on the process of studying the habits of the Baduy people or cultural acculturation.
The Influence of Competence and Work Motivation on Employee Performance at the Health Sub-department of the City of South Jakarta Administration
Authors: Riptono  , Yusuf Saptedja
Published: June 2022

The public's need for better, friendlier, and higher quality health services is increasing. Seeing conditions like this, of course, hard work is needed in an effort to reduce the mortality rate, including improving the skills of health workers in handling children under five, especially midwives and nurses at the puskesmas as the front line of service providers. Thus, the South Jakarta City Administration of Health Sub-Department is required to be able to show quality performance that is in accordance with community expectations and in line with the development of medical science and technology. To be able to improve good performance and at the same time meet the demands of the community, each employee must have adequate capabilities in accordance with their respective fields of duty. In other words, every employee, both medical (doctors), paramedics (midwives/nurses) and administrative personnel must have. by employees or human resources who have competence. Paramedics (midwives/nurses) as well as administrative staff must have. Likewise, the health service provider agency (South Jakarta City Administration Health Sub-dept.), in providing health services to the community has been supported by competent employees or human resources.
Nicht-Populistische Populisten. Eine Untersuchung zur Praxis der AfD-Wahl
Authors: Rhein Philipp
Published: June 2022

Der Beitrag präsentiert Ergebnisse einer eigenen qualitativ-rekonstruktiven Studie zu Praxisorientierungen von AfD-Wähler*innen. Mit der Dokumentarischen Methode werden (habituelle) Orientierungsmuster und ihre Resonanz mit dem Wahlangebot der AfD untersucht. Damit lässt sich verstehen, welche sozialen Sinnstrukturen Bedingung der Möglichkeit rechtspopulistischer Mobilisierungserfolge sind. Gezeigt wird, dass AfD-Wähler*innen mitunter Nicht-Populist*innen sind und dass die Orientierungen hinter der Präferenz für die AfD eher apokalyptisch und destruktiv sind. Häufig wird suggeriert, dass die den Populismus charakterisierende überbetonte Volk-Eliten-Unterscheidung elektoratsseitig Sinn-, beziehungsweise Deklassierungs-Probleme bearbeite. Populismus reagiere mit dem semantischen Angebot einer Selbstbeschreibung als einziger und wahrer Vertreter des Volkes - als Ausdruck einer volonté générale - auf ein sozial erklärbares Erleben. Der Beitrag interessiert sich genau dafür und untersucht dazu konjunktive Orientierungen von AfD-Wähler*innen. Präsentiert wird das Ergebnis, dass sich zwar dichotome Gesellschaftsbilder bei den Fällen dieser Studie finden lassen. Allerdings sind diese einerseits weniger eindeutig populistisch, andererseits stehen nicht notwendigerweise Deklassierungserfahrungen im Hintergrund. Gezeigt wird, dass die Orientierungen hinter der AfD-Wahl vor allem apokalyptisch und destruktiv sind. Die hier analysierten Fälle wählen die AfD, weniger weil es ihnen um ein Versprechen nach Restauration einer verlorengeglaubten Gesellschaftsordnung geht, sondern um einen Griff nach der gesellschaftlichen Notbremse und um Zerstörung und Neuordnung.
Mensch, Roboter und Publikum. Über die Position des Dritten in Mensch-Roboter-Interaktionen
Authors: Schad Nina
Published: June 2022

Als Gegenstand aktueller technologischer Entwicklung fordern erste Serviceroboter Menschen in alltäglichen Umfeldern dazu auf, sie als soziale Akteure zu begreifen. Der Trend der immer „sozialer“ werdenden Maschinen hat in der Techniksoziologie weg von einer traditionellen ontologischen Differenzierung zwischen Technik und Sozialem hin zu einer Suche nach Handlungsträgerschaft avancierter Technik in sozio-technischen Konstellationen geführt. Diese neue Perspektive eines pragmatistischen Ansatzes vergisst jedoch die soziale Dimension dieser Interaktionen. Als Gegenvorschlag zu einer lückenhaften Suche nach einer Handlungsträgerschaft in dyadischen Mensch-Roboter-Konstellationen steht eine dramaturgische Triade bestehend aus Mensch, Roboter und Publikum (Zuschauer dieser Interaktionen), die es ermöglicht diese Interaktionen als soziale Situationen zu betrachten. In Anbindung an Lindemanns Konzepte einer konstitutiven Funktion und einer Emergenzfunktion des Dritten sowie ihrem Versuch, den Dritten in die Mensch-Technik-Begegnung zu integrieren, wird das Publikum in der Position des Dritten verstanden und in seiner Rolle für die Interaktionen beleuchtet. Dadurch wird deutlich, wie elementar das Publikum als Beobachterin für die Ausprägung und den Verlauf dieser Begegnungen ist. Am Ende steht ein Konzept, welches die Verbindung zwischen materiellem Handeln und den institutionellen Regeln des Handelns wiederherzustellen vermag.
Die Türkei auf der Agenda des Europäischen Rates: Beitrittsperspektiven, Interessen und Konflikte
Authors: Rau Moritz , Ersoy Denise , Wessels Wolfgang
Published: June 2022

Relations between the European Union (EU) and Turkey have been highly topical in recent years. Growing hostilities, political turmoil and verbal skirmishes have kept this partnership in the limelight and aroused heated discussions in academic, political and public debate. Turkey’s backsliding democracy and shift towards a more assertive foreign policy in Syria, Libya and the Eastern Mediterranean have largely contributed to the EU’s perception that ‘Turkey is increasingly moving away from the Union’. Yet, Turkey is still an accession candidate country and remains a ‘key partner for the EU’ in a number of policy areas - such as migration, trade and security cooperation as part of the NATO partnership. Aiming to shed light on this contradicting framework of EU-Turkey relations, this chapter studies European Council conclusions since the 1970s, focussing on narratives about Turkey generated by the EU leaders - the Heads of State or Government of the member states. The analysis examines Turkey in its roles as a candidate country, as a transactional partner and as a problematic neighbour from an EU perspective.
Migration als Spaltpilz für die Europäische Union? Erkenntnisse aus dem Brexit-Prozess
Authors: Schweiger Christian
Published: June 2022

The United Kingdom’s exit from the European Union (EU) in January 2020 marks a historic milestone in the European integration process. For the first time since its foundation the EU faces the existential question if the specific domestic political factors of Brexit have the potential to contribute towards the further disintegration of the Union. Migration stood at the heart of the campaign as the core issue in the public referendum conducted in June 2016. The British debate on migration took place in the context of the growing British scepticism towards the ability to combine the primacy of national sovereignty and political self-determination with the membership of the EU system of multi-level governance. The analysis presented here considers multiple factors through which migration as an issue contributed towards the narrow decision in favour of Brexit in the British EU referendum on 23 June 2016. As such it acts as an important case study for the analysis of disintegrative tendencies in the tension between national sovereignty and the supranational polity of the EU.
A Multimodal Clinical Approach for the Treatment of Bone Metastases in Solid Tumors
Authors: Lo Bianco Giuliano , Lanza Ezio , Provenzano Salvatore , Federico Manuela , Papa Alfonso , Imani Farnad , Shirkhany Gholamhosein , Laudicella Riccardo , Quartuccio Natale
Published: June 2022

Context: Bone metastasis (BM) is a frequent complication of cancer, representing the third most common site of secondary spread in solid cancers behind the lung and liver. Bone metastasis is found in up to 90% of prostate and breast cancer patients. They can cause significant complications, such as pathological fractures and paralysis of the spine, which decrease daily functioning and quality of life (QoL) and worsen prognosis. The growing life expectancy of cancer patients due to improvements in systemic therapies may further increase BM's eventuality and clinical burden in cancer patients. Evidence Acquisition: Four physicians from five different specialties were interviewed and resumed the most relevant literature of the last 20 years focusing on pain treatment in BM patients. Results: Treatment for BM ideally involves various types of specialists and assessments. The disease status and patient background should be considered, requiring holistic care and expertise from various medical specialties. Conclusions: Interventional, nuclear medicine, radiotherapy, and mini-invasive techniques can be safe and effective for relieving pain and modifying health-related QoL in BM patients.
A Study on Performance Improvement of Intrusion Detection using Efficient Authentication and Distributed Monitoring
Authors:   Dept. of Information Security Engineering, Joongbu University, Goyang, 10279, Republic of Korea, Yang Hwanseok
Published: June 2022

In a Mobile Ad hoc Network (MANET), mobile nodes play multiple roles as hosts and routers and are dynamically changing multi-hop structures. MANET consists only of wireless nodes with limit processing power, and routing and data transfer are performed through cooperation with each other. It is exposed to many attack threats due to the dynamic topology by the movement of the nodes and the characteristic of multi-hop communication. Therefore, in MANET, a technique that can detect effectively must be applied while detecting malicious nodes and reducing the impact of various attacks. In this paper, we propose an trust based authentication technique for nodes and a distributed monitoring technique to improve the detection performance of malicious nodes. The hierarchical cluster structure was used to improve authentication of nodes and detection performance and management efficiency of malicious nodes. A lightweight authentication technique of member nodes in the cluster was applied and the efficiency of node authentication was improved. It was used to determine whether it was an attack node by transmitting traffic monitoring information for neighbor nodes to CA and using. In addition, the efficient authentication technique using only key exchange without anyone's help was applied in order to provide integrity when exchanging information between cluster heads. Through this, it was possible to be free from trust information about nodes and forgery and falsification of information about attack nodes. The superiority of the technique proposed in this paper was confirmed through comparative experiments with the existing intrusion detection technique.
Overview and Comparison of Candidate 5G Waveforms: FBMC, UFMC and F-OFDM
Authors:   Department of Computer Techniques Engineering, College of Technical Engineering, University of AlKafeel, Najaf 31001, Iraq, Ramadhan Ali J.
Published: June 2022

The fifth generation (5G) technology standard, utilizing the Internet of Things, promises enhanced communication systems. However, the efficiency expected from such systems entails significant requirements, such as higher data rates and flexibility of the lowest 5G layer. Meeting these requirements in subsequent wireless communication systems is highly dependent on the use of waveforms capable of efficiently enabling multiple access. In other words, proper waveforms determine the effective handling of diverse traffic within a given band. In this study, four candidate multicarrier waveforms, namely filtered orthogonal frequency division multiplexing, filter bank multicarrier, universal filtered multicarrier, and orthogonal frequency division multiplexing, which is currently used in 4G systems, are compared based on multiple parameters. MATLAB simulation results indicate that the waveforms significantly improved spectrum localization and provided appropriate spectrum fragmentation. As these waveforms can mix diverse traffic specifications, they handle the problem of time-frequency synchronization effectively. Therefore, these new waveforms exhibit significant potential in terms of orthogonality and synchronicity and can support numerous users without dropping signals. In addition, they support all applications and scenarios related to multiple-input and multiple-output. The obtained simulation results confirm the suitability of such waveforms for 5G applications and systems.
Distributed and Dynamic Channel Assignment Schemes for Wireless Mesh Network
Authors:   Department of Computer Science and Engineering, Gogte Institute of Technology, Belagavi, India, Bhojannawar Satish S. , Managalwede Shrinivas R.
Published: June 2022

Wireless mesh network (WMN) with wireless backhaul technology provides last-mile Internet connectivity to the end-users. In multi-radio multi-channel WMN (MRMC-WMN), routers provide multiple concurrent transmissions among end-users. The existence of interference among concurrent transmissions severely degrades the network performance. A well-organized channel assignment (CA) scheme significantly alleviates the interference effect. But in trying to minimize interference, the CA scheme may affect the network connectivity. So, the CA scheme has to consider both these two conflicting issues. In this paper, as part of the initial configuration of WMNs, we propose a game theory-based load-unaware CA scheme to minimize the co-channel interference and to maximize the network connectivity. To adapt to the varying network traffic, we propose a dynamic channel assignment scheme. This scheme measures the traffic-load condition of the working channels of each node. Whenever a node finds an overloaded channel, it initiates a channel switch. Channel switching based on the fixed threshold may result in a channel over/underutilization. For optimal channel utilization, we propose a fuzzy logic-based approach to compute the channel switch threshold. The contending nodes and their densities and loads dominantly affect the network capacity and hence the performance. In the context of network capacity enhancement, we have addressed these factors and focused on increasing the network capacity. The simulation results indicate that our proposed load-unaware and load-aware CA schemes outperform the other related load-unaware and load-aware CA approaches.
Cluster Head Selection and Optimal Multipath detection using Coral Reef Optimization in MANET Environment
Authors:   Associate Professor, Department of computer science & Engineering, Saranathan college of Engineering, Trichy620012, TamilNadu, India, Venkatasubramanian S. , Suhasini A. , Vennila C.
Published: June 2022

Mobile Ad-hoc Network (MANET) data transfer between nodes in a multi-hop way offers a wide variety of applications. The dynamic feature of ad hoc network mobile nodes is primarily influenced by safety issues, which limit data forwarding rate in multipath routing. As a supplementary method to improve safe data delivery in a MANET, this paper propose and analyse the cluster head (CH) selection and optimum multipath scheme. The CHs are chosen based on the possibility values of each node in MANET, which are considered from the residual energy of each node. During the present phase, the total remaining node energy is used to calculate the mean energy of the entire network. The most likely nodes are picked as the CH, which gathers packets from the cluster members through multi-hop communication. The fundamental idea is to partition a top-secret communication into several shares and then forward the shares via numerous routes to the destination. The Coral Reef Optimization method is used in this work to perform optimum multipath routing. The thorough simulation findings validate the feasibility and efficacy of the suggested strategy in comparison to Butterfly optimization algorithm (BA), Whale Optimization algorithm (WOA) and BAT algorithm techniques.
Towards an Efficient Big Data Indexing Approach under an Uncertain Environment
Authors:   MARS Research Laboratory LR17ES05, University of Sousse, Tunisia, Omri Asma , Nazih Omri Mohamed
Published: June 2022

It is generally accepted that data production has experienced spectacular growth for several years due to the proliferation of new technologies such as new mobile devices, smart meters, social networks, cloud computing and sensors. In fact, this data explosion should continue and even accelerate. To find all of the documents responding to a request, any information search system develops a methodology to confirm whether or not the terms of each document correspond to those of the user's request. Most systems are based on the assumption that the terms extracted from the documents have been certain and precise. However, there are data in which this assumption is difficult to apply. The main objective of the work carried out within the framework of this article is to propose a new model of data service indexing in an uncertain environment, meaning that the data they contain can be untrustworthy, or they can be contradictory to another data source, due to failure in collection or integration mechanisms. The solution we have proposed is characterized by its Intelligent side ensured by an efficient fuzzy module capable of reasoning in an environment of uncertain and imprecise data. Concretely, our proposed approach is articulated around two main phases: (i) a first phase ensures the processing of uncertain data in a textual document and, (ii) the second phase makes it possible to determine a new method of uncertain syntactic indexing. We carried out a series of experiments, on different bases of standard tests, in order to evaluate our solution while comparing it to the approaches studied in the literature. We used different standard performance measures, namely precision, recall and F_measure. The results found showed that our solution is more efficient and more efficient than the main approaches proposed in the literature. The results show that the proposed approach realizes an efficient Big Data indexing solution in an Uncertain Environment that increases the Precision, the Recall and the F_measure measurements. Experimental results present that the proposed uncertain model obtained the best precision accuracy 0.395 with KDD database and the best recall accuracy 0.254 with the same database.
Multi-objective Optimization of Subsonic Glider Wing Using Genetic Algorithm
Authors:   The Federal University of Technology, P.M.B. 704 Akure, Nigeria, I. I. Ogedengbe , M. A. Akintunde , O. A. Dahunsi , E. I. Bello , P. Bodunde
Published: June 2022

The widespread adoption of Unmanned Aerial Vehicles (UAVs) can be traced to its flexibility and wide adaptability to various operating conditions and applications, comparably low cost of construction and maintenance and environmental friendliness as they can be easily configured for electric power. The use of electric power also favours its low noise applications such as surveillance. A major issue associated with surveillance, as addressed in this study is the compromise between Range and Endurance operation modes. The Range mode relates to being able to cover longer distances while the Endurance mode relates to spending longer times in the atmosphere for a fixed charge. Trying to balance the interplay of these parameters gave rise to a multi-objective optimization where the objectives are somewhat conflicting. This resulted in a set of Pareto solutions which are a set of design parameters (primarily angle of attack) that satisfy the joint requirements of the performance parameters of Range and Endurance. This study first considered a baseline aerodynamic design using traditional design methods. Design of Experiment techniques were then used to select the most favourable design points. This model was then used to build an input framework for Genetic Optimization algorithm deployed in the Global Optimization Toolbox of MATLAB. The result of this research shows that most of the region associated with medium angle of attack (AOA) setting (7 degrees) jointly satisfies good Range and Endurance performances with an average lift-to-drag ratio of 20 in the flight configuration considered. The implication of this result is that low velocity drag encountered in surveillance that requires a high AOA is largely reduced with the medium setting, albeit stabilized with other structural and aerodynamic settings, namely an aspect ratio of 13 and a taper ratio of 0.6.
Game Theory based Resource Identification Scheme for Wireless Sensor Networks
Authors:   Department of Electronics and Communication Engineering, Biluru Gurubasava Mahaswamiji Institute of Technology, Mudhol-587313, Karnataka, INDIA, Kori Gururaj S. , Kakkasageri Mahabaleshwar S.
Published: June 2022

In modern world of sensing and distributive systems, traditional Wireless Sensor Networks (WSN) has to deal with new challenges, such as multiple application requirements, dynamic and heterogeneous networks. Senor nodes in WSN are resource constrained in terms of energy, communication range, bandwidth, processing delay and memory. Numerous solutions are proposed to optimize the performance and to increase the lifetime of WSN by introducing new resource management principles. Effective and intelligent resource management in WSN involves in resource identification, resource scheduling, and resource utilization. This paper proposes a Bayesian Game Model (BGM) approach to efficiently identify the best node with the maximum resource in WSN for data transmission, considering energy, bandwidth, and computational delay. The scheme operates as follows: (1) Sensor nodes information such as residual energy, available bandwidth, and node ID, etc., is gathered (2) Energy and bandwidth of each node are used to generate the payoff matrix (3) Implementation of node identification scheme is based on payoff matrix, utilities assigned, strategies and reputation of each node (4) Find Bayesian Nash Equilibrium condition using Starring algorithm (5) Solving the Bayesian Nash Equilibrium using Law of Total Probability and identifying the best node with maximum resources (6) Adding/Subtracting reward (reputation factor) to winner/looser node. Simulation results show that the performance of the proposed Bayesian game model approach for resource identification in WSN is better as compared with the Efficient Neighbour Discovery Scheme for Mobile WSN (ENDWSN). The results indicate that the proposed scheme has up to 12% more resource identification accuracy rate, 10% increase in the average number of efficient resources discovered and 8% less computational delay as compared to ENDWSN.
A Fuzzy Approach to Fault Tolerant in Cloud using the Checkpoint Migration Technique
Authors:   Department of Computer Engineering, Liyan Institute of Education, Bushehr, Iran, Hagshenas Noshin , Mojarad Musa , Arfaeinia Hassan
Published: June 2022

Fault tolerance is one of the most important issues in cloud computing to provide reliable services. It is difficult to implement due to dynamic service infrastructures, complex configurations and different dependencies. Extensive research efforts have been made to implement fault tolerance in the cloud environment. Many studies focus only on fault detection and do not consider fault tolerance. For this reason, in this paper, in addition to recognizing the nature of the fault, a fuzzy logic-based approach is proposed to provide an appropriate response and increase the fault tolerance in the cloud environment. Checkpoint-based migration technique is used to increase fault tolerance. Using a checkpoint during migration can reduce time and processing costs and balance the load between virtual machines in the event of a fault. The simulation is performed according to the data center of Vietnam Telecommunications Company (VDC). The results of the proposed method in a period of 60 minutes show 98.03% fault detection accuracy, which is 4.5% and 4.1% superior to FLPT and PLBFT algorithms, respectively.
A Comprehensive Review of Machine Learning Techniques for Predicting the Outbreak of Covid19 Cases
Authors:   Amity Institute of Information Technology, Amity University, Kolkata – 700135, India, Santra Arpita , Dutta Ambar
Published: June 2022

At present, the whole world is experiencing a huge disturbance in social, economic, and political levels which may mostly attributed to sudden outbreak of Covid-19. The World Health Organization (WHO) declared it as Public Health crisis and global pandemic. Researchers across the globe have already proposed different outbreak models to impose various control measures fight against the novel corona virus. In order to overcome various challenges for the prediction of Covid-19 outbreaks, different mathematical and statistical approaches have been recommended by the researchers. The approaches used machine learning and deep learning based techniques which are capable of prediction of hidden patterns from large and complex datasets. The purpose of the present paper is to study different machine learning and deep learning based techniques used to identify and predict the pattern and performs some comparative analysis on the techniques. This paper contains a detailed summary of 40 paper based on this issue along with the use of method they applied to obtain the purpose. After the review it has been found that no model is fully capable of predicting it with accuracy. So, a hybrid model with better training should be employed for better result. This paper also studies different performance measures that researchers have used to show the efficiency of their proposed model.
Towards an Intelligent Approach to Workflow Integration in a Quality Management System
Authors:   MARS Research Laboratory LR17ES05, University of Sousse, Tunisia, Nazih OMRI Mohamed , AONNE Hadhemi BEN
Published: June 2022

Among the most important activities within a company we find that of quality management. This activity represents reflects the most rigorous way possible for a better organization of establishments in order to offer the best service to customers and to the various members of these establishments. This activity of quality management is a very delicate and sensitive task due to the large number of documents and business processes that are handled on a cyclical basis. For this reason, setting up a reliable and efficient system for managing the different aspects of the quality management process becomes a challenge for any company that seeks excellence. This article proposes a new intelligent approach to the need of the management of human and commercial resources within the companies for a good management of the process of quality management according to its own conception. Our approach allows any quality management manager to manage the different modules of a QMS according to the ISO 9001 standard through the different interfaces offered by our solution. The monitoring phase of this process through the implementation of a workflow orchestrator, jBpm.
Development of an Electronic Secure Students’ Industrial Works Experience Scheme Placement System
Authors:   Department of Cyber Security Science, School of Information and Communication Technology, Federal University of Technology Minna, Adebayo Olawale Surajudeen , Adebayo Bashir Sulaimon , Abdullah Monday Jubril , Enemona Omale Samuel , Abdulazeez Lateefah
Published: June 2022

This research developed a secured student industrial work experience scheme (SIWES) placement system to take care of the security challenges of the existing automated systems. There are attempts by researchers to ameliorate the challenges associated with the scheme by developing various systems. However, the developed systems are subjected to security vulnerabilities. This research, in an attempt to avert the security challenges associated with the existing automated systems, designed a new scheme which includes security architectures in the kernel and application layers. This new system was able to achieve two important tasks; first, the system automation and second, the inclusion of security architectures to cubs the application’s vulnerabilities. The present process involves students manually seeking placement to undergo the program, and due to this, students end up applying at organizations that are not relevant to what they are studying. Despite the fact there are no much existing systems that digitally caters for this component of the scheme, the available existing systems are subjected to security vulnerability. Therefore, leveraging on secure web application technologies using Unified Modelling Languages for design, HTML, CSS, JavaScript, PHP for its implementation and user privilege and password hash to ensure its security, this project developed a secure solution to this pertinent challenge. The system is tested using unit testing component of each design, integration testing and general system testing. The implementation shows the system works according to the design, by ensuring all units of the development perform necessary functions of data storage, data retrieval, error alerting, and interface/server appropriate communication. In addition, the security architecture, design and implementation of the system’s design are better than the existing ones.
Reliability Assessment for Open-Source Software Using Deterministic and Probabilistic Models
Authors:   Department of Computer Science, College of Information Technology, MUST University, Cairo, Egypt, Ramadan Islam S. , Harb Hany M. , Mousa Hamdy M. , G. Malhat Mohammed
Published: June 2022

Nowadays, computer software plays a significant role in all fields of our life. Essentially open-source software provides economic benefits for software companies such that it allows building new software without the need to create it from scratch. Therefore, it is extremely used, and accordingly, open-source software’s quality is a critical issue and one of the top research directions in the literature. In the development cycles of the software, checking the software reliability is an important indicator to release software or not. The deterministic and probabilistic models are the two main categories of models used to assess software reliability. In this paper, we perform a comparative study between eight different software reliability models: two deterministic models, and six probabilistic models based on three different methodologies: perfect debugging, imperfect debugging, and Gompertz distribution. We evaluate the employed models using three versions of a standard open-source dataset which is GNU’s Not Unix Network Object Model Environment projects. We evaluate the employed models using four evaluation criteria: sum of square error, mean square error, R-square, and reliability. The experimental results showed that for the first version of the open-source dataset SRGM-4 based on imperfect debugging methodology achieved the best reliability result, and for the last two versions of the open-source dataset SRGM-6 based on Gompertz distribution methodology achieved the best reliability result in terms of sum of square error, mean square error, and R-square.