Deduplication algorithm based on condensed nearest neighbor rule for deduplication metadata by Wen-bin YAO, Peng-di YE, Xiao-yong LI, Jing-kun CHANG

“…Building effective deduplication index in the memory could reduce disk access times and enhance chunk fingerprint lookup speed,which was a big challenge for deduplication algorithms in massive data environments.As deduplication data set had many samples with high similarity,a deduplication algorithm based on condensed nearest neighbor rule,which was called Dedup²,was proposed.Dedup²uses clustering algorithm to divide the original deduplication metadata into several categories.According to these categories,it employs condensed nearest neighbor rule to remove the highest similar data in the deduplication metadata.After that it can get the subset of deduplication metadata.Based on this subset,new data objects will be deduplicated based on the principle of data similarity.The results of experiments show that Dedup²can reduce the size of deduplication data set more than 50% effectively while maintain similar deduplication ratio.…”
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Challenges and Prospects of Sensing Technology for the Promotion of Tele-Physiotherapy: A Narrative Review by Kei Kakegawa, Tadamitsu Matsuda

“…The development of these technologies will not only enhance the accuracy of deep learning by AI through the acquisition of big data, but also has the potential to elucidate movement characteristics associated with movement disorders or pathological conditions. …”
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Duften af frihed i det åbne fængsel – en analyse af hvordan det opleves at afsone i et åbent fængsel by Marie Herping Andersen

“…The current article concerns the open prison, a regime that plays a big role in the Nordic countries. In the article, I investigate how inmates experience the transition from closed to open prison regimes, and how it feels to serve time in a regime without prison walls. …”
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Interne sosiale verantwoordelikheid as beeldhouer in organisies by Marco Roodt

“…Alvin Toffler from "Future Shock" (1982) fame may be regarded as the futurist who gave renewed impetus to social responsibility. Big business has marked social responsibility as a priority on their business agenda. …”
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Recherche collatérale : rôles et enjeux des traces écrites dans l’accompagnement d’équipes d’écoles primaires by Martine Janner Raimondi

“…Accompany research with teachers while the accompanists have exercised functions of adviser and training officer demands a big alertness to avoid amalgam positions and disturbance of research pruposes. …”
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Blockchain empowered 6G by Yueyue DAI, Ke ZHANG, Yan ZHANG

“…6G network not only explore higher communication rates but also combine with the emerging technologies such as cloud computing,edge computing,artificial intelligence,and big data,and use a new network architecture to achieve wider interconnection and interoperability across network and domains,and provide an intelligent,safe and efficient technical support for industrial Internet of things,smart cities,and intelligent transportation.Blockchain technology as a decentralized,open and transparent distributed ledger technology can provide strong security for 6G.The integration of blockchain technology and 6G network was studied.Firstly,the difference between 5G and 6G network and the challenges of 6G faced were given,and the research of blockchain technology in spectrum management,mobile edge computing and D2D communication was reviewed.Then,the integration of blockchain technology and 6G emerging network was explored.Thus,the technical challenges in terms of blockchain and the cloud-edge-device network,blockchain and federal learning,blockchain-based resource transactions,and lightweight blockchain for edge network were presented.The corresponding solutions were also given.…”
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Kernel of Internet of Things:Internet of Data by Qi ZHANG, Hao YANG, Q.S.Quek Tony, Shi JIN, Hong-bo ZHU

“…The Internet of Things (IoT) is a collection of devices,sensors and computing capabilities that enable intelligent command and control across vast regions in an automated manner,where data is generated by large-scaled devices and often sent to a centralized system for processing.Therefore,for IoT scenarios,it is important to have an efficient way to collect data at low power,transmit them in very short time,process them in close to real time,and send back the results of this processing.The main data problems in IoT are investigated,and the data entities are organized to form a network,coined as the Internet of Data (IoD),which has huge potential in data-intensive applications.To better understand IoD,the basic concept and main challenges of IoD are also stated.Meanwhile,to provide more detailed understanding,some feasible techniques that can be used in IoD are also explored,like big data,data mining and artificial intelligence,which are all hot research areas and have been studied extensively in recent years.…”
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Enhance the Transfer Capacity of Multiplex Networks by Fei Shao, Wei Zhao, Binghua Cheng

“…One of the extremely critical problems is to reduce the congestion and enhance the transfer capacity, especially in real communication networks with a big data environment. A novel and effective strategy to improve traffic and control congestion is proposed by adding edges according to their weights which are defined by the topology structural properties. …”
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Analyzing Revitalization of Multicultural Education on Higher Education to Reduce Negative Stereotypes in Indonesia by FatmaWati FatmaWati, Nurul Azmy Rustan, Gustia Haryati

“… A negative stereotypes are the root of big problems in this country. It is the forerunner to the birth of hatred and racist behavior. …”
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As obras de infraestrutura estratégicas para a organização do espaço amapaense by Eduardo Margarit

“…In the fourth topic, an analysis of the big capital spatial selectivity dynamics in the cerrado of Amapá is made. …”
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Natural Climate Variability Can Influence Cyanobacteria Blooms in Florida Lakes and Reservoirs by Karl E. Havens, Mark V. Hoyer, Edward J. Phlips

“…Cyanobacteria are natural in Florida lakes and reservoirs, but when they grow to high levels and bloom, they become a big problem. …”
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Ekscytujący strach – zabawa ryzykowna w opinii rodziców by Patrycja Brudzińska, Lucyna Śmieszek-Formela

“…The research trial included one hundred parents of children attending big-city kindergartens. Defining risk by parents (dramatizing it or marginalizing it) determines the limits of acceptable activities, it is a manifestation of power, therefore it is important to consciously approach the issue of risky play. …”
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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ by Peter Forbrig

“…The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. The goal of these algorithms is the identification of different notations of references that refer to the same real-world object. …”
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Self-Diagnosis and Self-Reconfiguration of Piezoelectric Actuator and Sensor Network for Large Structural Health Monitoring by Dong Liang, Liaoni Wu, Zhifeng Fan, Yang Xu

“…Based on the results shown in the experiment, a big potential in real-time application demonstrates that the method can accurately and rapidly identify the sensor failure by reasoning and analyzing Lamb wave propagations using proposed methods.…”
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Psychological coaching as a driver of young entrepreneurs’ enhanced networking capabilities by Ana Galvão, Marco Pinheiro

“…The study was based on 331 young adults who answered a questionnaire composed of three parts: sociodemographic questions, the Portuguese Entrepreneurial Psychological Traits Inventory (PEPTI) and the Big Five Inventory (BFI44). The results show that young Portuguese entrepreneurs score higher on the PEPTI and four of the BFI-44’s five dimensions. …”
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Pharma TARP: A Troubled Asset Relief Program for Novel, Abandoned Projects in the Pharmaceutical Industry by Tamas Bartfai, Graham Vaughan Lees

“…The programs are deemed to be too risky and not lucrative enough for Big Pharma in the current climate. Society has a real need for the drugs that are no longer going to be developed for, among others, drug-resistant epilepsy, neuropathic and cancer pain, type-2 diabetes, obesity, and schizophrenia. …”
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ROLLING CONTACT FATIGUE PERFORMANCE OF SELECTIVE LASER MELTED TI-6AL-4V by PENG DanHua, ZHANG ZhenWen, ZHANG KaiFei, ZHANG Peng, LI ZhongHua, FU Guang

“…Polishing and heat treatment can improve the rolling contact fatigue life. Big roughness causes wear failure of the SLM-fabricated titanium alloy parts,and small roughness mainly leads to spalling failure.…”
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Performance Evaluation of a Small Scale Modular Solar Trigeneration System by Handong Wang

“…The results show that when the output electricity is constant, the overall efficiencies of energy and exergy of the system operating at the CCHP mode are 9.37 times and 2.62 times as big as those of the system operating at the STP mode, respectively. …”
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Simple-Random-Sampling-Based Multiclass Text Classification Algorithm by Wuying Liu, Lin Wang, Mianzhu Yi

“…The space-time overhead of the algorithms must be concerned about the era of big data. Through the investigation of the token frequency distribution in a Chinese web document collection, this paper reexamines the power law and proposes a simple-random-sampling-based MTC (SRSMTC) algorithm. …”
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Prediction of the waterborne navigation density based on the multi-feature spatio-temporal graph convolution network by Wei DONG, Leilei ZHANG, Ziheng JIN, Wei SUN, Junbo GAO

“…In the face of the development of the information technology in the port and waterway,the Internet of things (IoT) technology can help to build China’s water transport perception network.The big data analysis of the waterborne transport has become a hot topic for researchers and practitioners in the field of transportation.The navigation density of each port in the water transportation is nonlinear and spatio-temporal correlation,so it is a great challenge to accurately predict it.A multi-feature spatiotemporal graph convolution network (MFSTGCN) was proposed to solve the problem of the traffic density prediction.MFSTGCN effectively captured the spatial-temporal correlation of the ship navigation density data by using the spatial convolution and temporal convolution through three features,which were navigation volume,average ship speed and ship density.The experiment was carried out on the automatic identification system (AIS) data set collected from a shipping platform.The results show that the prediction effect of the MFSTGCN model is better than the spatio-temporal graph convolution network (STGCN) model.…”
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