Sangmi Moon¹, Hyeonsung Kim¹, Seng-Phil Hong², Mingoo Kang³, Intae Hwang^1,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 59-70, 2021, DOI:10.32604/cmc.2020.013132

Abstract Millimeter-wave communications are suitable for application to massive multiple-input multiple-output systems in order to satisfy the ever-growing data traffic demands of the next-generation wireless communication. However, their practical deployment is hindered by the high cost of complex hardware, such as radio frequency (RF) chains. To this end, operation in the beamspace domain, through beam selection, is a viable solution. Generally, the conventional beam selection schemes focus on the feedback and exhaustive search techniques. In addition, since the same beam in the beamspace may be assigned to a different user, conventional beam selection schemes suffer serious multi-user interference. In addition, some… More >

TING YANG^#, JIANNONG LU^#, AKWASI YEBOAH, SHUAILEI GU, DONGNA LI, YUZHEN SHI, XUEGUI YIN^*

BIOCELL, Vol.44, No.3, pp. 381-388, 2020, DOI:10.32604/biocell.2020.09112

Abstract In order to provide a molecular basis for selecting good hybrid combinations for the identification of castor bean germplasm resources, fingerprint and genetic diversity analysis of 52 castor bean materials from 12 regions in 5 countries were constructed by using the Functinal Markers (FMs) associated with fatty acid metabolism-related genes. A total of 72 alleles were amplified by 29 pairs of FMs with an average of 2.483 per marker and the polymorphic information content was 0.103–0.695. Shannon’s information index (I), observed heterozygosity (Ho) and expected heterozygosity (He) were 0.699, 0.188 and 0.436 respectively. The clustering results indicated that the castor… More >

Lei Sun¹, Ling Tan^1,*, Wenjie Ma¹, Jingming Xia²

Journal on Internet of Things, Vol.2, No.1, pp. 23-35, 2020, DOI:10.32604/jiot.2020.09075

Abstract In recent years, WiFi indoor positioning technology has become a hot research topic at home and abroad. However, at present, indoor positioning technology still has many problems in terms of practicability and stability, which seriously affects the accuracy of indoor positioning and increases the complexity of the calculation process. Aiming at the instability of RSS and the more complicated data processing, this paper proposes a low-frequency filtering method based on fast data convergence. Low-frequency filtering uses MATLAB for data fitting to filter out low-frequency data; data convergence combines the mean and multi-data parallel analysis process to achieve a good balance… More >

Junseob Kim¹, Beanbonyka Rim¹, Nak-Jun Sung¹, Min Hong^{2, *}

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 17-30, 2020, DOI:10.32604/cmc.2020.09044

Abstract Fingerprint security technology has attracted a great deal of attention in recent years because of its unique biometric information that does not change over an individual’s lifetime and is a highly reliable and secure way to identify a certain individuals. AFIS (Automated Fingerprint Identification System) is a system used by Korean police for identifying a specific person by fingerprint. The AFIS system, however, only selects a list of possible candidates through fingerprints, the exact individual must be found by fingerprint experts. In this paper, we designed a deep learning system using deep convolution network to categorize fingerprints as coming from… More >

PABLO A. VALDECANTOS, MARTÍN E. ARGAÑARAZ, CARLOS M. ABATE, DORA C. MICELI

BIOCELL, Vol.28, No.3, pp. 287-297, 2004, DOI:10.32604/biocell.2004.28.287

Abstract As a step towards the identification of genes preferentially expressed in the oviduct during early rat embryo development, we isolated a cDNA fragment (Pr14) by using RNA arbitrarily primed PCR (RAP-PCR), being its expression restricted to oviduct and uterus; its mRNA is mainly expressed in oviduct during late luteal phase and early pregnancy. This fragment is 100% identical to a rat DNA sequence (Accession No. NW_047400) downstream the terminal exon of a Rattus norvegicus gene (Locus Link Accession No. LOC289316) similar to ebaf (endometrial bleeding-associated factor), a novel member of the Transforming Growth Factor superfamily. Northern analyses showed that this… More >

K. Y. Volokh^*

Molecular & Cellular Biomechanics, Vol.10, No.2, pp. 107-135, 2013, DOI:10.3970/mcb.2013.010.107

Abstract The application of mechanics to biology – biomechanics – bears great challenges due to the intricacy of living things. Their dynamism, along with the complexity of their mechanical response (which in itself involves complex chemical, electrical, and thermal phenomena) makes it very difficult to correlate empirical data with theoretical models. This difficulty elevates the importance of useful biomechanical theories compared to other fields of engineering. Despite inherent imperfections of all theories, a well formulated theory is crucial in any field of science because it is the basis for interpreting observations. This is all-the-more vital, for instance, when diagnosing symptoms, or… More >

Zhen Yang^1,2, Yongfeng Huang^1,2,*, Xing Li^1,2, Wenyu Wang³

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 1-17, 2018, DOI: 10.3970/cmc.2018.03697

Abstract To cope with privacy leakage caused by multimedia outsourcing and sharing, data provenance is used to analyze leaked multimedia and provide reactive accountability. Existing schemes of multimedia provenance are based on watermarking protocols. In an outsourcing scenario, existing schemes face two severe challenges: 1) when data leakage occurs, there exists a probability that data provenance results can be repudiated, in which case data provenance tracking fails; and 2) when outsourced data are shared, data encryption transfer causes key management burden outside the schemes, and privacy leakage threatens users. In this paper, we propose a novel data provenance scheme with an… More >

Lin Wang^1,*, Huixiang Liu¹, Wenyuan Liu^1,2, Nan Jing¹, Ahmad Adnan¹, Chenshu Wu³

CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 437-449, 2019, DOI:10.32604/cmc.2019.03814

Abstract The indoor subarea localization has wide application space in dynamic hot zone identification, indoor layout optimization, store dynamic pricing and crowd flow trend prediction. The ubiquitous mobile devices provide the opportunity for wireless fingerprinting-based indoor localization services. However, there are two short board where the existing methods have been criticized. One is that a tagging approach requires a large number of professional surveys for wireless fingerprint construction, which weakens the scalability of the methods. The other is that the crowdsourcing-based methods encounter the cold boot problem in the system initial stage. To address these issues, the paper proposes a topology… More >

Changting Shi^{1, *}

CMC-Computers, Materials & Continua, Vol.57, No.3, pp. 635-652, 2018, DOI:10.32604/cmc.2018.03754

Abstract In the last decade, IoT has been widely used in smart cities, autonomous driving and Industry 4.0, which lead to improve efficiency, reliability, security and economic benefits. However, with the rapid development of new technologies, such as cognitive communication, cloud computing, quantum computing and big data, the IoT security is being confronted with a series of new threats and challenges. IoT device identification via Radio Frequency Fingerprinting (RFF) extracting from radio signals is a physical-layer method for IoT security. In physical-layer, RFF is a unique characteristic of IoT device themselves, which can difficultly be tampered. Just as people’s unique fingerprinting,… More >

Chengsheng Yuan^1,2,3, Xinting Li³, Q. M. Jonathan Wu³, Jin Li^4,5, Xingming Sun^1,2

CMC-Computers, Materials & Continua, Vol.53, No.4, pp. 357-372, 2017, DOI:10.3970/cmc.2017.053.357

Abstract Fingerprint-spoofing attack often occurs when imposters gain access illegally by using artificial fingerprints, which are made of common fingerprint materials, such as silicon, latex, etc. Thus, to protect our privacy, many fingerprint liveness detection methods are put forward to discriminate fake or true fingerprint. Current work on liveness detection for fingerprint images is focused on the construction of complex handcrafted features, but these methods normally destroy or lose spatial information between pixels. Different from existing methods, convolutional neural network (CNN) can generate high-level semantic representations by learning and concatenating low-level edge and shape features from a large amount of labeled… More >