bluuebunny/crossref_metadata_2025 huggingface dataset:
The Cult of Fire in Hunting Activity and Everyday Culture of the TungusManchu Ethnic Groups of the Lower Amur and Primorye
Authors:   Anatolyi F. Startcev Institute of History, Archaeology and Ethnology, Startcev Anatolyi F.
Published: December 2020

The article discusses the problem of ethnic mysteries connected with the worship of the fire cult of the Tungus-Manchurian ethnic groups of the Far East based on field published materials and literary sources. The relevance of the research goal is determined by the scientific and public interests of the small indigenous peoples of the Amur region, Primorye and other regions of Russia. This goal is achieved by a detailed study of numerous rituals, prohibitions and signs that are directly related to hunting and the everyday culture of the fishing population of the Tungus-Manchu ethnic groups. According to the worldview of the Nanai, Negidal, Orochi, the article was prepared taking into account ethnological research methods and ethnographic approaches such as visual observation and personal involvement in the mysteries associated with the rituals of worship, feeding the “god” of fire Pudza and the request of the hunters from the master of the taiga Onku a successful hunt. Ulchi, Udege and other Tungus-Manchurian ethnic groups of the southern part of the Russian Far East, it was believed that the fire master Pudza Ezani had the toad of Jala (guarding the fire from self-extinguishing), Ikte forest ants, who helped the toad, to maintain a “good” fire, as well as the Sugdugu bird - the kingfisher – the servant of the ant host Ikta Ezani, and the wild boar Aulа, who was the first in the taiga to report insane fire (fire) that escaped the host's control. All traditional life, hunting, fishing and gathering of the Tungus-Manchu ethnic groups of the Lower Amur and Primorye were associated with the worship and preservation of old rituals and traditions of the ancient ancestors, who laid the economic and cultural basis for the existence of their descendants.
Family in the Works of Representatives of the Kazan School of Spiritual and Academic Theism of the Second Half of the 19th – Early 20th Centuries: Understanding of Biblical Traditions
Authors:   Oxana N. Kozhevnikova Far Eastern Law Institute of the Ministry of Internal Affairs of Russia, Kozhevnikova Oxana N.
Published: December 2020

The article analyzes the philosophical concepts presented in the works of the representatives of the Kazan school of spiritual and academic theism, dealing with the problems of marriage and family: in particular, their understanding of biblical traditions in the conditions of socio-cultural and socio-economic realities. The basis of the material presented in the article was unpublished earlier works of Kazan researchers stored in the State archive of the Republic of Tatarstan. The author comes to the conclusion that in the Russian Empire, the representatives of spiritual and academic theism faced the task based on modern knowledge of sociology, pedagogy and psychology to give a philosophical answer to new challenges, to adapt traditional values according to the realities of life. The acquaintance of Kazan researchers with modern them ideas of Russian religious philosophy of the second half of the 19th – first half of the 20th centuries in which the family was associated with the highest moral value, the realization of love, with the commitment to excellence and integrity, fullness of being (N. Berdyaev, S. Bulgakov, B. Vysheslavtsev, V. Zenkovsky, I. Ilyin, N. Lossky, V. Solovyev, S. Troitsky, N. Fedorov, P. Florensky, G. Shimansky) had great importance for understanding the philosophical essence of family and marriage. In modern conditions of return to the bourgeois-capitalist relations, philosophical searches of Orthodox thinkers are interesting for understanding the problems and tendencies of development of family and marriage, thus representing a subject of not only historical or historical and theological research, but also historical and philosophical one.
Religious Extremism: The Use of Western Christianity as an Element of White Supremacism
Authors:   Joel Ivan Gonzalez Cedillo St. Petersburg State University, Cedillo Joel Ivan Gonzalez
Published: December 2020

The murder of the German politician Walter Lübcke in 2019 by a far-right extremist with links to Neo-Nazi groups exposes the need to address European ethnonationalist extremism from a wider array of approaches, one of them, the religious one. European ethno-nationalists have found profitable the distortion of elements of Western Christianity and its use to reject individuals they consider undesirable, especially Muslims and non-European immigrants. By doing this, far-right extremists have managed to consolidate an ideological basis known as Christianism. This work examines the characteristics of the extremist ideology Christianism and its relation to white supremacism, as well as the historical bias of the Crusades they use and that is a central part of their ideology. This work analyses the manifesto written by white supremacist terrorist Brenton Tarrant with the aim to expose the relation between white supremacism and Christianism, as well as the influence on terrorist acts against non-Europeans in the West, and the main propositions of such extremist ideology. The conclusion proposes the need of better education in history and critical thinking skills in societies affected by white supremacism, as well as the participation of followers of traditional Christianity in counter extremism efforts
Apophaticism of the Christian Faith
Authors:   Nadezhda V. Tsepeleva Novosibirsk State Medical University, Tsepeleva Nadezhda V.
Published: December 2020

. The article examines the traditional philosophy problem of reason and faith, which has two aspects regarding the subject of knowledge. This problem is revealed in the context of the patristic Christian tradition, since the traditional approach in philosophy connects the study of this problem in the course of philosophy only with the West European medieval tradition. Hence the understanding of this problem, ending with the opposition of reason and faith, which, in the end, is enshrined in the philosophy of I. Kant. The author of the article compares the conceptual approach of Western European philosophy to the problem of reason and faith and Russian religious tradition. In Russian religious philosophy of the 19th – 20th centuries the problem of reason and faith was solved on the basis of the idea of integral knowledge, which, as we know, presupposes not a juxtaposition of faith and knowledge, but a harmonious combination of religion, science and philosophy. We believe that the idea of integral knowledge has developed in Russian religious philosophy also under the influence of Western European philosophy, and more precisely, under the influence of European rationalism, as an alternative to the strict separation of religion and science. The article shows that the theory of whole knowledge is not consistent with the patristic Christian tradition. The patristic tradition speaks of “knowledge-ignorance”, it contrasts the conceptual theology and contemplation, dogmas, and experience of indescribable secrets. In conclusion, the author concludes that the opposite of reason and faith, but on a completely different methodological basis. This allows the author to talk about the apophaticism of the Christian faith in the patristic tradition.
Confessional and Religious Identities: Ethnos. Discourse
Authors:   Igor A. Yurasov Penza State University, Yurasov Igor A. , Yurasova Olga N. ,   Olga N. Yurasova Penza State University
Published: December 2020

This study attempts to distinguish between two sociological categories – confessional religious identity, which have long been considered synonymous, as a single concept in domestic and foreign science. Confessional identity has been studied for a long time in Russian social sciences in close connection with religious identity. The latter was understood as a quality resulting from the identification of the individual with a certain religious doctrine, a certain religious semiosphere. Confessional religious identity is a projection of national, ethnic identity. On the basis of national identity, confessional identity is formed, which becomes the basis for the formation of religious identity. This conclusion is based on the analysis of the values of the inhabitants of Russia, Ukraine, and Belarus, whose population professes Orthodoxy. The discursive environment contributes to the formation of a specific vector of religious identity. Discourse in the research is understood as a system of texts, semantics, and meanings surrounding a particular social phenomenon. Confessional and religious identities are formed by philosophical-theological, mythological, artistic, ideological and political discourses [Makarov, 2003]. On the basis of discursive analysis of ethnic and confessional identity, sociological and semiotic markers of autocephaly of the Orthodox Church of Ukraine are identified and the socio-cultural role of the Greek Catholic Church in the west of Ukraine is analyzed.
The Study of Religious Customs and Traditions of the Nanai in Russian Science (Pre-Revolutionary Context) and the Experience of Their Systematization in the Literary Ethnography of Venedikt Mart
Authors:   Kseniya A. Zemlyanskaya Amur State University, Zemlyanskaya Kseniya A.
Published: December 2020

In the 19th – early 20th centuries, the Nanai were one of the largest Tungus-Manchu peoples of the Russian Far East. A close study of their traditions and customs began in the middle of the 19th century, when numerous ethnographic expeditions of researchers (L.I. Shrenk, R.K. Maak, K.I. Maksimovich) were sent to the Amur. First of all, the researchers were interested in the material culture of the Nanai, the issues of religion were touched upon in the mainstream of ethnographic research. In the last quarter of the 19th century, the attention of researchers was directed to the description of Nanai rites of passage (D. Kropotkin, P.P. Shimkevich). Scientific expeditions of the early 20th century were aimed at describing the spiritual culture of the Nanai and its reflection in material culture (I.A. Lopatin, L.Ya. Sternberg). The description of the religious beliefs of the Nanai was recorded as a result of the missionary activities of Blagoveshchensk and Vladivostok dioceses. In 1932, the former Far East writer Venedikt Mart published the story “Dere – the Water Wedding”, where he accumulates and systematizes the accumulated knowledge about the Nanai people in literary form, introducing certain elements of fiction. Despite the fact that Venedikt Mart writes about the denial of religious customs and traditions by the new generation of Nanai, nevertheless, the story itself is, in fact, clearly fixed at its core by the content of the wedding ceremony
“House of Solomon”: The Development of Religious and Ceremonial Culture in Tsars’ Country Residences of the Last Quarter of the 17th Century
Authors:   Andrey V. Topychkanov Lomonosov Moscow State University, Topychkanov Andrey V.
Published: December 2020

Country residences played an important role in the religious, political and cultural life of Russia in the early modern period. Court life in country residences was organized in the form of various ceremonies associated with the celebration of the name day of members of the royal family, local churches feasts and other events. In the last quarter of the 17th century, the religious and ceremonial culture of the Russian court has undergone significant changes. From the middle of the century, palace’s churches appeared in the tsars’ country residences. They were used not only for divine services, but also for sermons and recitations that was addressed to members of the tsar’s family and became a component of the church synthesis of arts. Another innovation was the celebration of the birthdays of members of the tsar’s family, which were celebrated in accordance with the traditional ceremonial adopted for celebrating name days. Thus, during the period under review, these court ceremonies saved their religious character. The development of religious and ceremonial culture in country residences was carried out primarily due to the transfer of ceremonies from Moscow to country residences. On the example of the celebration of the Origin (Wearing out) of the Honest Trees of the Life-giving Cross of the Lord, we can observe that the transfer of the ceremony to country residences allowed the tsars to constantly make certain changes and additions to it. As a result, the religious and ceremonial culture in the country residences of the last quarter of the 17th century was more dynamic than in Moscow
Heroes of Islamic history in the Collective Memory of Muslims of Russia
Authors:   Timur M. Nadyrshin R.G. Kuzeev Institute for Ethnological Studies (Subdivision of the Ufa Federal Research Centre of RAS), Nadyrshin Timur M.
Published: December 2020

The cultural memory of Muslims forms a certain way of communication, thinking, which is instrumentalized by the community of believers for religious discourse in a mosque, printing, media projects, and education. The reproduction of collective memory occurs through the heroes of history – the figures of memory. The latter serve as spatial and temporal landmarks of the group’s memory and become models and role models. This article provides a brief analysis of the places of memory of the heroes of Islamic history in the cultural identity of Muslims of the Russian Federation. The solution to this problem will bring us closer to understanding the self-identification, religious life and mentality of the Russian community of believers. The main personalities in Muslim history are the prophets, associates, pious rulers and military leaders, great scholars, theologians, and the righteous. To determine the significance of personality for cultural memory, the research was faced with the task of reducing their list with specific tools for studying big data. For this, the Google Trends analysis tool was used, and on its basis a hierarchy of requests from the heroes of Islamic history is carried out. The interpretation of the data is carried out. The article discusses which memorialization strategies are used by the Muslim community to reproduce a cultural transmission, as well as existing injuries and forms of silence. The absence of a single Russian Islamic metanarrative is an obstacle to the unification of Muslim believers and their integration into the national cultural agenda
“A Preacher from the Artisans with the Bible Prevailed”: Mennonite Religious Identity in Omsk Region in the 50–60s of the 20th Century
Authors:   Natalia V. Vorobeva Military Academy of Logistics, VAMTO named after A.V. Hruleva, Omsk Automotive and Armored Engineering Institute, Vorobeva Natalia V.
Published: December 2020

The article discusses the state-confessional policy in Omsk region in the 1950–60s on the example of reports of the plenipotentiary of the Council for Religious Affairs under the Council of Ministers of the USSR in Omsk Region. The source base was the funds of the State Archive of the Russian Federation – the P-6991 fund, inventory 3 “The Council for Religious Cults under the Council of Ministers of the USSR. 1944–1960”, which examined the reports of the plenipotentiary of the Council for Religious Cults under the Regional Committee of the CPSU for Omsk Region, as well as documents from the funds of the State Historical Archive of Omsk Region, which provide comparative data on actual religious communities and groups in Omsk Region for the 1950–1960s. Attention is paid to religious identity, methods for its identification by the Soviet official and local authorities. The problems of ethnocultural identity of the Mennonite Germans of Omsk Region are examined: the issues of creating autonomy and mass relocations to the Kazakh SSR in the late 1960s. It raises questions of Soviet identity and religiosity, as well as the problem of violations of the constitutional rights of believing Soviet citizens, in particular Article 124 of the Constitution. Particular attention is paid to issues of religious and anti-religious propaganda during the “Khrushchev persecution” of the church and marking the religious worldview as marginal
Genesis of Religion: The Origin of Zoolatry According to the Portable Art of Eastern Europe and Siberia
Authors:   Andrey P. Zabiyako  Amur State University, Zabiyako Andrey P.
Published: December 2020

. Eastern Europe and Siberia are the territories of early settlement of different groups of mankind. On the Russian Plain, the first sites of Modern Humans are dated to about 40 ka BP. In Siberia, the Homo erectus groups appear in the Lower Paleolithic. Later, Denisovans, Neanderthals and Modern Humans (CroMagnons) settled here. Modern Humans penetrate Siberia about 45 ka BP. Local groups of Homo populations have created developed cultures that include a wide range of features of behavioral modernity. For local groups of Modern Humans, the appearance of zoomorphic sculptures in the period of about 34 ka BP, in the initial period of the Upper Paleolithic. During the period of the final of Aurignac and the beginning of Gravette, zoomorphic examples of mobile art became a typical phenomenon. The archaeological context of the location of artefacts and the peculiarities of their appearance in a number of cases indicate that zoomorphic objects were attributes of zoolatry. The discovery of the «lion» sculpture in Denisova Cave suggests that zoolatry existed in the culture of the Denisovans. With an age of at least 45 ka BP, the lion figure from Denisova cave is the oldest zoomorphic sculpture. The presence of zoolatry in geographically and anthropologically different cultures indicates that it is naturally formed at the stage of reaching a certain level of development of human populations and is a regular result of anthropo- and cultural genesis. Zoolatry is a universal phenomenon. Along with the general features, local features are inherent in it. In different local groups, zoolatry has specific features due to natural factors, different adaptation strategies and mental differences (different models of imagination). In different cultures, zoolatry was combined in specific combinations with funeral rituals, hunting magic, gender cults and other forms of religion. In different local cultures, there were specific configurations of forms of religion, in which zoolatry, hunting magic, funeral practices and other forms of religion were combined in a peculiar way. Thus, in different local cultures, the morphology of religion had a different configuration. The study of zoolatry of local groups of the «basal Eurasian» lineage demonstrates the variability of the morphology (internal structure) of religion, even in culturally related and chronologically close communities.
The Problem of Dichotomy in the Classification of Buddhist Communities in the West
Authors:   Dulma V. Ayusheeva Institute for Mongolian, Buddhist and Tibetan Studies of the Siberian Branch of RAS, Ayusheeva Dulma V.
Published: December 2020

The article reveals the concept of “two Buddhisms”, which distinguishes two key categories among Buddhist communities in the West: “ethnic”, represented by immigrants from Asian Buddhist countries and their descendants, and “converts”, or adherents of Western origin. This division into Asian and non-Asian Buddhists is often described as one of the main features of Buddhism in the West.The author concludes that the existing concept in its current form is outdated and requires revision and updating. However, the recognition of such approach as “outdated” in the research of modern Buddhism in Western countries is akin to the recognition of the “outdated” real picture of Buddhism in the West, which even in its modernity demonstrates two different approaches to the implementation of Buddhist teachings. This attitude also leads to the loss of high-quality scientific tools in theoretical and methodological aspects.
PUSR: Position Update Secure Routing protocol for MANET
Authors:   Ballari Institute of Technology & Management, Anantapur Mallikarjuna , Venkanagouda Patil ,   Ballari Institute of Technology & Management
Published: December 2020

Mobile ad hoc network is a self-organizing wireless network, which is formed by the wireless mobile devices without any centralized infrastructure. The mobile nodes in the network are mainly affected by the inherent characteristics such as unpredictable network topology and open wireless medium. Especially, the presence of selfish nodes in the network creates the packet loss and affects an entire communication system. In this paper, the hash function with position updating algorithm is proposed in the Ad hoc On-Demand Distance Vector (AODV) routing protocol for improving the security against the selfish nodes. The AODV routing protocol is used to transmit the data packets from the source to the destination. Therefore, the Prevention of Selfish Node using Hash Function (PSNHF) with position update algorithm is proposed for minimizing the packet loss through the network. The performances of proposed AODV-PSNHF method are analysed in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), packet loss and normalized routing load. In addition, the AODV-PSNHF method is compared with the existing trust-aware ad-hoc routing protocol (T2AR). The selfish node identification using hash function and positioning update using AODV-PSNHF method provides reliable and secure data transmission under selfish nodes and shows better performance in terms of throughput, packet delivery ratio and packet loss. For 2% of malicious nodes the PDR of the AODV-PSNHF method is 89%, it is 9% higher when compared to the T2AR protocol whose PDR% is only 80% for the same.
Performance Analysis and Fault Classification in a Large Electric Motor Using Vibration Assessment Technique
Authors:   Southeast Asia University, Suechoey Boonlert , Siriporananon Somsak ,   Southeast Asia University, Chupun Pana ,   Southeast Asia University, Boonkhun Churirat ,   King Mongkut’s Institute of Technology Ladkrabang, Chompooinwai Chai ,   King Mongkut’s Institute of Technology Ladkrabang
Published: December 2020

This research paper presents an analysis of electric motors performance by the assessment of vibration characteristics caused by bearing faults, housing bearing looseness and rotor unbalance. In this study, an analysis of fault that occurred in electric motor has followed ISO 10816-3 Standard. Bring the used electric motors for testing and measuring the vibration of the electric motors by using the Spectrum Analysis & Field Balancing Analyzer model ADASH A440-VA4 Pro. The vibration results of 22kW, 55kW and 75kW motor imply the malfunction of bearing faults, housing bearing looseness, and rotor unbalance. The results obtained from the analysis will be used as references and guidelines for predictions of faults in the electric motors, including maintenance scheduling of electric motors.
A New Robust Decoding Technique of Four Transmitters MIMO STBC System based on FastICA Algorithm
Authors:   Babylon University, Abdalla Kasim , Alrufaiaat Sameer ,   Babylon University
Published: December 2020

A new robust decoding technique which designed of Multiple-Input Multiple-Output Space–Time Block Code (MIMO-STBC) using Fast Independent Component Analysis (Fast-ICA) based on proposed mixing model has been performed in this paper. This decoding technique is characterized by i) complexity is very low, ii) the speed is high and iii) BER performance is excellent. It can be achieved with any MIMO STBC system with a fewer pilot symbols number. Also, it is reduced decoding time into 1/8 by innovating a simple strategy referred by one source extraction method. Also, this paper includes suitable initializing for the de-mixing vector to solve the ambiguities problem of sign and source of blind source separation (BSS). To test the proposed technique, four transmitters (4Tx) STBC MIMO system was implemented using MATLAB2018. It also found that excellent BER performance associated with a high number of symbols per frame (about 8012 symbols). The simulation results show that the new decoder works for any number of receiver antenna (Nr = 2, 4 and 5). As compare with classical decoding algorithm, it is found that the new decoder provides coding gain (at BER =10-6 ) equal to 1 dB,1.45 dB and 1.76 dB when Nr = 2,4 and 8 respectively, using only 2~3 iterations only.
Feature Selection Models Based on Hybrid Firefly Algorithm with Mutation Operator for Network Intrusion Detection
Authors:   Benha University, Alwan Karrar , AbuEl-Atta Ahmed ,   Benha University, Zayed Hala ,   Benha University
Published: December 2020

Accurate intrusion detection is necessary to preserve network security. However, developing efficient intrusion detection system is a complex problem due to the nonlinear nature of the intrusion attempts, the unpredictable behaviour of network traffic, and the large number features in the problem space. Hence, selecting the most effective and discriminating feature is highly important. Additionally, eliminating irrelevant features can improve the detection accuracy as well as reduce the learning time of machine learning algorithms. However, feature reduction is an NPhard problem. Therefore, several metaheuristics have been employed to determine the most effective feature subset within reasonable time. In this paper, two intrusion detection models are built based on a modified version of the firefly algorithm to achieve the feature selection task. The first and, the second models have been used for binary and multiclass classification, respectively. The modified firefly algorithm employed a mutation operation to avoid trapping into local optima through enhancing the exploration capabilities of the original firefly. The significance of the selected features is evaluated using a Naïve Bayes classifier over a benchmark standard dataset, which contains different types of attacks. The obtained results revealed the superiority of the modified firefly algorithm against the original firefly algorithm in terms of the classification accuracy and the number of selected features under different scenarios. Additionally, the results assured the superiority of the proposed intrusion detection system against other recently proposed systems in both binary classification and multi-classification scenarios. The proposed system has 96.51% and 96.942% detection accuracy in binary classification and multi-classification, respectively. Moreover, the proposed system reduced the number of attributes from 41 to 9 for binary classification and to 10 for multi-classification.
Predicting Secondary Structure of Protein Using Hybrid of Convolutional Neural Network and Support Vector Machine
Authors:   Universitas Gadjah Mada, Sutanto Vincent , Sukma Zaki ,   Business Intelligence Data Engineering Division, Afiahayati Afiahayati ,   Universitas Gadjah Mada
Published: December 2020

Protein secondary structure prediction is one of the problems in the Bioinformatics field, which conducted to find the function of proteins. Protein secondary structure prediction is done by classifying each sequence of protein primary structure into the sequence of protein secondary structure, which fall in sequence labelling problems and can be solved with the machine learning. Convolutional Neural Network (CNN) and Support Vector Machine (SVM) are 2 methods that often used to solve classification problems. In this research, we proposed a hybrid of 1-Dimensional CNN and SVM to predict the secondary structure of the protein. In this research, we used a novel hybrid 1-Dimensional CNN and SVM for sequence labelling, specifically to predict the secondary structure of the protein. Our hybrid model managed to outperform previous studies in term of Q3 and Q8 accuracy on CB513 dataset.
Modeling Business Rule Parallelism by Introducing Inclusive and Complex Gateways in Semantics of Business Vocabulary and Rules
Authors:   Institut Teknologi Sepuluh Nopember, Tangkawarow Irene , Sarno Riyanarto ,   Institut Teknologi Sepuluh Nopember, Siahaan Daniel ,   Institut Teknologi Sepuluh Nopember
Published: December 2020

The Semantics of Business Vocabulary and Rules (SBVR) standard was developed by the Object Management Group (OMG) for business purposes. SBVR is used for transformation of business vocabulary and business rules into business processes. Gateways are used for regulating the divergence and convergence of flow objects in the business process. The existing business rules in SVBR do not support all gateways in BPMN, whereas there are conditions where branching situations in business rules occur. This article introduces parallelism rules (OR rules) and complex rules to increase 50.6% usage of the existing AND rules and XOR rules in SBVR. The main contribution of this research is to introduce new formal model of inclusive gateway (OR) and complex gateway that allow parallelism and branching to be modeled using SBVR. Thus, this study increases coverage of the usage gateway in SBVR achieved 66.7%. The authors provide branching cases with various levels of complexity, i.e. nested conditions and non-free choice conditions, using the formal description of SBVR.
Intelligent System for Parasitized Malaria Infection Detection Using Local Descriptors
Authors:   University of Technology, Ali Yossra , Mohammed Suhaila ,   University of Baghdad
Published: December 2020

Malaria is a curative disease, with therapeutics available for patients, such as drugs that can prevent future malaria infections in countries vulnerable to malaria. Though, there is no effective malaria vaccine until now, although it is an interesting research area in medicine. Local descriptors of blood smear image are exploited in this paper to solve parasitized malaria infection detection problem. Swarm intelligence is used to separate the red blood cells from the background of the blood slide image in adaptive manner. After that, the effective corner points are detected and localized using Harris corner detection method. Two types of local descriptors are generated from the local regions of the effective corners which are Gabor based features and color based features. The extracted features are finally fed to Deep Belief Network (DBN) for classification purpose. Different tests were performed and different combinations of feature types are attempted. The achieved results showed that when using combined vectors of local descriptors, the system gives the desired accuracy which is 100%. The achieved result demonstrates the effectiveness of using local descriptors in solving malaria infection detection problem.
An approach based on Clustering AH and VND for Supply Chain Management
Authors:   Mohammed V University in Rabat, Oudouar Fadoua , Zaoui El ,   National Superior School of Mines
Published: December 2020

In this work, we present a new approach to solve the Capacitated Location-Routing Problem (CLRP). The aim of this method is to determine the depot locations, to assign customers to facilities and to define routes for each depot to serve the associated clients. The proposed approach contains two phases, which are the constructive phase and the improvement phase. In the first phase, we select the depots to be opened, allocate the customers to open depots using a Hierarchical Ascendant (HA) method and we solve the vehicle routing problem for each depot using Sweep algorithm. In the second phase, we apply a Variable Neighborhood Descent (VND) with three structures in order to optimize the cost obtained by the first phase. Two sets of well-known instances from the literature are used to evaluate the performance of this method, and the numerical results obtained are compared with the experimental results of other methods. Results show that our method is competitive with respect to the best-known solutions (BKSs) and demonstrate its efficiency in comparison with other approaches.
The Detection of Counterfeit Banknotes Using Ensemble Learning Techniques of AdaBoost and Voting
Authors:   Directorate General of Education in Babylon, Khairy Rihab , Hussein Ameer ,   Directorate General of Education in Babylon, ALRikabi Haider ,   Wasit University
Published: December 2020

The movement of cash flow transactions by either electronic channels or physically created openings for the influx of counterfeit banknotes in financial markets. Aided by global economic integration and expanding international trade, attention must be geared at robust techniques for the recognition and detection of counterfeit banknotes. This paper presents ensemble learning algorithms for banknotes detection. The AdaBoost and voting ensemble are deployed in combination with machine learning algorithms. Improved detection accuracies are produced by the ensemble methods. Simulation results certify that the ensemble models of AdaBoost and voting provided accuracies of up to 100% for counterfeit banknotes.
The Effect of the Eigenvalues of the Zero-Forcing Detector on Its Performance in the Space-Division Multiplexing System
Authors:   Benha University, Hassan Ashraf , Saleh Ali ,   Benha University
Published: December 2020

Zero-Forcing (ZF) detector is used in Space-Division Multiplexing (SDM) receiver to remove interference among the received symbols. Previous works showed that the power of channel noise is enhanced in the output of the ZF detector. They recommend using the ZF detector when the received Signal-to-Noise Ratio (SNR) is high. This work proves that the performance of the ZF detector depends on the eigenvalues of the channel correlation matrix. The paper shows that if the sum of the eigenvalues of this correlation matrix is equal to the rank of the channel matrix, the ZF detector will not enhance noise power at its outputs. Moreover, if the sum of the eigenvalues is smaller than the rank of the channel matrix, the ZF detector will reduce noise power at its outputs. In this work, a theorem, which demonstrates the performance of the ZF detector in SDM receiver, is introduced and proved. The proposed work uses smart antennas in the transmitter and receiver to control the elements and eigenvalues of the channel matrix. The introduced theorem and a complete SDM receiver with ZF detector are simulated and evaluated at different conditions with different criteria. A real-time SDM receiver with ZF detector is also implemented and evaluated. The simulation and implementation results are shown at the end of this study. The results of the proposed systems show that a ZF detector can be used to remove interference in the SDM system without enhancing the channel noise.
Enhancement of Data Collection Performance in Wireless Sensor Networks Based on Path-Constrained Mobile Sink
Authors:   Helwan University, Borham Mohamed , Khoriba Ghada ,   Helwan University, Mostafa Mostafa-Sami ,   Helwan University
Published: December 2020

Due to the energy limitation in Wireless Sensor Networks (WSNs), most researches related to data collection in WSNs focus on how to collect the maximum amount of data from the network with minimizing the energy consumption as much as possible. Many types of research that are related to data collection are proposed to overcome this issue by using mobility with path constrained as Maximum Amount Shortest Path routing Protocol (MASP) and zone-based algorithms. Recently, Zone-based Energy-Aware Data Collection Protocol (ZEAL) and Enhanced ZEAL have been presented to reduce energy consumption and provide an acceptable data delivery rate. However, the time spent on data collection operations should be taken into account, especially concerning real-time systems, as time is the most critical factor for these systems' performance. In this paper, a routing protocol is proposed to improve the time needed for the data collection process considering less energy consumption. The presented protocol uses a novel path with a communication time-slot assignment algorithm to reduce the count of cycles that are needed for the data collection process with reduction of 50% of the number of cycles needed for other protocols. Therefore, the time and energy needed for data collection are reduced by approximately 25%and 6% respectively, which prolongs the network lifetime. The proposed protocol is called Energy-Time Aware Data Collection Protocol (ETCL).
Pixel Classification Based on Local Gray Level Rectangle Window Sampling for Amniotic Fluid Segmentation
Authors:   Universitas Gadjah Mada, Ayu Putu , Hartati Sri ,   Institut Teknologi dan Bisnis STIKOM
Published: December 2020

This study analyses the use of a pixel classification model to segment amniotic fluid areas on ultrasound (US) images characterized by noise, blurry edge, artifacts, and low contrast. In contrast with the previous methods, this study constrains a training set of pixels based on neighbourhood information with the rectangle window sampling method used to determine the characteristics of each pixel in its environment specifically. The feature extraction is no longer based on the global characteristics of the object rather by taking the value of each pixel in the object area using the sampling window. This research also combines the local first-order statistical methods and gray level information in the window to obtain the characteristics of each pixel. Furthermore, Random Forest and Decision Tree (C.45) were used to classify each pixel into four classes, namely amniotic fluid, placenta, uterus, and fetal body. The classification performance testing of pixel sampling data showed that the Random forest with 5 × 7 window sizes achieved the highest performance at 99.5% accuracy, precision, and recall, respectively. Furthermore, the proposed model was evaluated using 50 new test US images to segment the amniotic fluid area. According to experimental result, proposed models can produce better segmentation area with an increase in the IoU value by 18.3% or a Jaccard coefficient value rate of 0.183 in the range of 0-1 with the previous state of the art method. Furthermore, the proposed model reduces the error rate and improves accuracy by 6.61% and 84.77%, respectively.
Cry Recognition for Infant Incubator Monitoring System Based on Internet of Things using Machine Learning
Authors:   Universitas Airlangga, Sutanto Erwin , Fahmi Fahmi ,   Universitas Sumatera Utara, Shalannanda Wervyan ,   Bandung Institute of Technology, Aridarma Arga ,   PT. Tesena Inovindo
Published: December 2020

With the current technology trend of IoT and Smart Device, there is a possibility for the improvement of our infant incubator in responding to the real baby’s condition. This work is trying to see that possibility. First is by analyzing of open baby voice database. From there, a procedure to find out baby cry classification will be explained. The approach was starting with an analysis of sound’s power from that WAV files before going further into the 2D pattern, which will have features for the machine learning. From this work, around 85% accuracy could be achieved. Then together with sensors, it would be useful for infant incubator’s innovation by utilizing this proposed configuration.
Optimal Sizing of Supercapacitor Energy Storage Based on Firefly Algorithm for Enhancing Critical Clearing Time
Authors:   Institut Teknologi Sepuluh Nopember, Sari Talitha , Sari Maya ,   Institut Teknologi Sepuluh Nopember, Sulistyo Gabriela ,   Institut Teknologi Sepuluh Nopember, Priyadi Ardyono ,   Institut Teknologi Sepuluh Nopember, Lystianingrum Vita ,   Institut Teknologi Sepuluh Nopember, Purnomo Mauridhi ,   Institut Teknologi Sepuluh Nopember
Published: December 2020

In the present day, the electrical power demand is increasing and expected to continue growing. The renewable energy sources as the power supply are also increasing but not much as needed. As a result, the power systems operate close to their maximum stability limit. This paper proposed to extend the value of Critical Clearing Time (CCT) to enhance the stability system, especially the transient stability. A Supercapacitor Energy Storage (SCES) is installed at one of the generator bus; however, the sizing of SCES must be optimized due to the economics and power balance constraint. In this paper, the Firefly Algorithm (FA) is used to obtain the optimal sizing of SCES with the objective function is the highest value of CCT. Lagrange interpolation is used to validate the effectiveness of FA, such as computation time and accuracy. According to the simulation result obtained, the proposed method using FA has a faster calculation time than Lagrange interpolation. Moreover, the proposed method is validated on a modified IEEE 9 bus with various cases. By using FA, the best increase of CCT is obtained when the optimal size of SCES is 0.120 p.u. The overall CCT increase is 0.15766s or around 54.61%.
Scalable Two-Dimensional Bloom Filter Membership Scheme on Massive Scale Wireless Sensor Networks
Authors:   Telkom University, Afianti Farah , Asrini Cahya ,   Telkom University, Wijaya Dedy ,   Telkom University
Published: December 2020

Wireless sensor nodes help people to monitor any operational mechanism. It is important to be implemented in industrial automation in detecting unauthorized activity or malicious sensor nodes by the outsider. However, a massive number of devices or things which are needed to be controlled become a challenge. A fast mechanism to recognize a member or a valid device is needed to minimize production costs and avoid future procedural errors. It becomes an open problem for the implementation of massive scale Wireless Sensor Networks (WSN). Hence, a scalable two-dimensional Bloom filter is proposed in this paper to deal with this issue. The low computation complexity and the storage efficiency requirements by the two-dimensional Bloom filter are proven by the experimental results. The insertion, deletion and query procedure of the proposed method only need O (1), while the storage usage of two-dimensional Bloom filters not only lower than counting Bloom filter in average 131 bits difference but also approaches accommodative Bloom filter in about 10 bits difference. These two parameters support a fast membership scheme. Furthermore, the analysis of value initialization has been performed. To the best of our knowledge, the investigation of this parameter has not been addressed by other studies. This process aims to get the best scenario to increase scalability. Several recommendations for selecting dimension number has been stated which is useful for efficient storage usage and reduce false positive.
A Different Approach on Automated Use Case Diagram Semantic Assessment
Authors:   Institut Teknologi Sepuluh Nopember, Fauzan Reza , Siahaan Daniel ,   Institut Teknologi Sepuluh Nopember, Rochimah Siti ,   Institut Teknologi Sepuluh Nopember, Triandini Evi ,   Institut Teknologi dan Bisnis STIKOM Bali
Published: December 2020

The use case diagram is one of the diagrams commonly taught in colleges of computer science. Assessment of use case diagrams is often an obstacle for a teacher in the learning process. It is due to the interpersonal and intrapersonal problems of the teacher in assessing. Interpersonal problems are caused by the absence of an assessment standard among teachers. Intrapersonal problems are caused by the inconsistency of a teacher in assessing many diagrams of student answers. This research aims to create a semantic use case diagram automatic assessment method. Semantic assessment is divided into two kinds, namely property and relationship. All information used is a label translated from the XMI document. Similarity assessment between labels used cosine similarity, employing WuPalmer to perform WordNet searches. The results showed that the proposed method had a substantial agreement with the teacher as an expert; however, a teacher tends to look at property information rather than relationship information to assess use case diagrams.
Load Balancing in RPL to Avoid Hotspot Problem for Improving Data Aggregation in IoT
Authors:   Acharya Nagarjuna University, Arunachalam Vanathi , Nallamothu Nagamalleswara ,   RVR & JC College of Engineering
Published: December 2020

Data aggregation plays a vital role in the Internet of Things (IoT), and it aggregates the collected sensor data from devices to suppress redundant data transmissions. Many-to-one traffic pattern in the IoT induces hotspot problem and inefficient data aggregation. The Routing protocol for low-power and lossy networks (RPL) in the network layer impacts the hotspot problem due to the frequent usage of forwarding nodes and load imbalance. The processes of network layer protocol, such as trickle algorithm and Objective Functions (OF) for Destination Oriented Directed Acyclic Graph (DODAG) construction, need more attention to avoid hotspot for efficient data aggregation. This work proposes a Load Balanced RPL (LoB-RPL) protocol to avoid hotspot creation using a composite metric based parent selection, DODAG construction, and local topology adaptive decision on trickle parameters. The LoBRPL improves the Minimum Hop with Hysteresis Objective Function(MRHOF) using the composite metric based parent selection and tunes the parameters of the Trickle algorithm. It ensures efficient maintenance of DODAG structure, hotspot avoidance, and unnecessary DIO transmissions. Beyond the advantages of composite metric based parent selection, consideration of dynamic parameters may induce frequent parent switching in RPL. To avoid frequent changes in the DODAG structure, the LoB-RPL optimally decides the parent switching threshold. Thus, the proposed work ensures a load-balanced and an energy-efficient RPL routing as well as data aggregation in the IoT environment. The LoB-RPL delivers outperforming results compared to the base RPL under various inter-packet interval time over 50 node topologies.
Analysis of a High Step-Down DC/DC Converter Topology with a Single Inductor
Authors:   Fukuoka Institute of Technology, Eguchi Kei , Do Wanglok ,   Fukuoka Institute of Technology, Shibata Akira ,   Fukuoka Institute of Technology
Published: December 2020

This paper presents a novel high step-down dc/dc converter topology with a single inductor for 48V data center applications. Distinguished from conventional dc/dc converter topologies with a single inductor, the proposed converter topology is designed by series connecting a step-down cross-connected Fibonacci converter with a buck converter. By combination of these converter modules, the proposed converter topology offers a high voltage gain, viz. 1/48×, without cascade connection. Hence, high power efficiency is provided by the proposed single inductor topology. The characteristics of the proposed converter topology are investigated by theoretical analysis, computer simulations, and experiments. In the given theoretical analysis and the performed simulations, the proposed converter topology demonstrates higher power efficiency than the conventional converter topologies with a single inductor. Furthermore, the validity of the proposed topology is confirmed by the experiments.
The concept of Samogitianness in the Northern Samogitian dialect
Authors:   Vilnius University, Judžentytė-Šinkūnienė Gintarė , Nikartaitė Saulė
Published: December 2020

This paper explores semantics and cognitive meaning of concept of Samogitianness in Northern Samogitian dialect. The analysis verifies whether the meaning depends on the distribution within the territory (Samogitia and Aukštaitija), as well. The data for the research was collected by filling in the questionnaires and by recording audio material: Northern Samogitians were surveyed verbally and in written form (the ones who were surveyed verbally were speaking Samogitian, some questionnaires were also filled in Samogitian). The people representing other dialects were surveyed online on www.manoapklausa.lt. The interviewees were asked to answer the given questions without additional thinking. Three separate tables (key signs of Samogitianness for Samogitians; key signs of Samogitianness for non-Samogitians and common one (i. e., cognitive meaning of Samogitian in Lithuanian)) were completed to represent researched data. Cognitive meanings were compared, and actual differences were explained. The main aim of the paper is to reveal the cognitive meanings assigned to the concept of Samogitianness of Northern Samogitians, and representatives of other dialects, and to determine the prototype features of the concept of Samogitian.