bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI METODE SUPPORT VECTOR MACHINE UNTUK INDENTIFIKASI PENYAKIT DAUN TANAMAN KUBIS
Authors: Ririd Ariadi Retno Tri Hayati , Kurniawati Ayundha Wulan , Yunhasnawa Yoppy
Published: March 2019

Tanaman kubis merupakan salah satu sayuran yang banyak dikonsumsi masyarakat, dalam produksi bibit tanaman kubis sering mengalami hambatan karena serangan hama. Salah satu komponen dalam keberhasilan produksi kubis adalah masa perkembangan bibit, yang dikhawatirkan banyak mendapat serangan hama. Dalam penelitian ini pengolahan citra digital digunakan untuk mengidentifikasi hama/penyakit terhadap bibit tanaman kubis. Penelitian ini dimulai dengan pengumpulan citra daun tanaman kubis. Tahapan selanjutnya adalah pre-processing citra dengan menghilangkan background dari citra masukan kemudian dilakukan proses grayscale untuk mendapatkan nilai yang akan digunakan untuk proses selanjutnya. Hasil tersebut kemudian akan dihitung dengan menggunakan metode Support Vector Machine (SVM). Proses training dilakukan dengan Sequential Training yang kemudian dilakukan proses testing. Hasil dari klasifikasi dipengaruhi oleh proses segmentasi yang dilakukan serta input parameter yang digunakan saat proses training. Dari hasil pengujian menunjukkan rata-rata akurasi hasil klasifikasi mencapai 80.55%.
KLASIFIKASI JENIS KELAMIN PADA CITRA WAJAH MENGGUNAKAN METODE NAIVE BAYES
Authors: Asmara Rosa Andrie , Andjani Bella Sita , Rosiani Ulla Delfana , Choirina Priska
Published: March 2019

Saat ini perkembangan teknologi yang berkaitan dengan pengenalan wajah banyak dimanfaatkan pada aplikasi pengenalan data biologis (biometrics) seperti pengenalan jenis kelamin. Penerapan aplikasi yang memerlukan pengenalan jenis kelamin adalah proses segmentasi pasar untuk mengetahui trend demografis dari produk yang dipasarkan berdasarkan jenis kelamin. Selain itu, aplikasi ini juga dapat digunakan untuk pembatasan akses suatu ruangan. Klasifikasi jenis kelamin pada citra wajah menggunakan metode Naive Bayes dapat digunakan untuk membedakan wajah wanita dan wajah pria berdasarkan fitur. Pembuatan data training berupa citra wajah dengan total 61 data dengan rincian 25 perempuan dan 36 laki-laki. Penggunaan fitur yang diperoleh dari deteksi mata, hidung dan mulut diekstraksi dengan metode Principal Component Analysis yang selanjutnya akan dilakukan proses klasifikasi jenis kelamin dengan metode Naive Bayes yang menghasilkan akurasi kecocokan sebesar 80%.
PENGEMBANGAN APLIKASI PEMILIHAN KOST DI KOTA MALANG DENGAN METODE AHP DAN PROMETHEE
Authors: Harijanto Budi , Tamara Nurul Asqiyah , Ariyanto Yuri
Published: March 2019

Banyaknya orang yang membutuhkan informasi rumah kost, sementara untuk mendapatkan informasi rumah kost saat ini yaitu dengan cara mendatangi lokasi tempat kost secara langsung. Dari masalah tersebut,  diperlukan aplikasi untuk memudahkan dalam pencarian kost yang mampu menyediakan informasi tentang data kost dan  penyewaan rumah kost secara online. Peneliti merancang dan membangun website rekomendasi tempat kost dengan aplikasi kost online menggunakan metode AHP dan Promethee.Perhitungan dalam penerapan metode ahp untuk mendapatkan bobot dalam kriteria pencarian rumah kost, dan Metode Promethee digunakan dalam pencarian rekomendasi rumah kost. Aplikasi ini diharapkan dapat membantu semua orang untuk mendapatkan 5 rekomendasi tempat kost sesuai dengan kriteria yang diinginkan.
RANCANG BANGUN SISTEM INFORMASI LOWONGAN KERJA DI JPC POLINEMA DENGAN METODE QUICK SORT
Authors: Budi Harijanto  , Deddy Kusbianto Purwoko Aji  , Amini Julia Intan
Published: March 2019

Informasi batas waktu lowongan kerja JPC di Facebook keberadaanya bertumpuk dengan informasi-informasi yang baru. Sehigga sulit untuk menemukan informasi lowongan kerja yang sudah melewati batas waktu dan informasi lowongan kerja yang sesuai dengan kriteria pelamar.Dari permasalahan tersebut maka dibuat aplikasi Lowongan Kerja Di JPC Polinema yang mampu menampilkan informasi lowongan kerja berdasarkan batas waktu dan kriteria pelamar. Metode yang digunakan untuk mensorting semua informasi lowongan kerja yang masuk menggunakan metode Quick Sort. Hasil dari penelitian ini akan menampilkan lowongan kerja setelah melalui sorting dengan batas waktu dan kriteria data pelamar. Kriteria ini terdiri dari 6 kriteria yang berupa gender, jurusan, jenjang, umur, IPK, dan pengalaman kerja.
A demarcação de terras indígenas na Amazônia Legal
Authors: Silva Gustavo da , Pureza Marcelo Gaudêncio Brito
Published: March 2019

Este artigo tem como objetivo discutir a importância da demarcação das terras indígenas como forma de conservação da biodiversidade, controle do desmatamento e o direito à cidadania dos povos indígenas no que lhes confere garantido na Constituição de 1988. Procuramos identificar as Terras Indígenas na Amazônia Legal, a etapa de demarcação em que se encontram e o avanço de rodovias, ocupações e empreendimentos em sua direção. A metodologia trata-se de uma revisão bibliográfica e os resultados obtidos nos levaram a conclusão da importância que as terras indígenas têm para a conservação ecológica dessas áreas, já que as práticas territoriais dos povos indígenas, na sua maioria, são práticas conservacionistas.
A atuação dos ecomuseus na preservação de patrimônios naturais: o caso de Mirante do Paranapanema, São Paulo, Brasil
Authors: Leal Antonio Cezar , Plaça Orosco de Souza Graziella , Faccio Neide Barrocá
Published: March 2019

O papel educativo da instituição museológica diz respeito à educação patrimonial e ambiental. O ecomuseu, por ter sido pensado dentro da perspectiva da Sociomuseologia, volta-se para questões territoriais e de inserção da comunidade moradora do assentamento São Bento, no município de Mirante do Paranapanema, SP, com a missão de resgatar o patrimônio histórico, cultural e identificar o patrimônio natural da região. Assim, vêm sendo realizados trabalhos de identificação de sítios arqueológicos, catalogação de objetos resgatados pela própria comunidade e recuperação de diversos documentos e objetos representativos da ocupação daquele espaço. Por meio da gestão colaborativa, o ecomuseu busca contribuir por evidenciar a história e preservar o patrimônio regional ao propor ações educativas contribuam para o debate sobre a preservação de patrimônios naturais, democratizando os saberes culturais tradicionais.
Acquiring a Pet Dog: A Review of Factors Affecting the Decision-Making of Prospective Dog Owners
Authors: Holland Katrina E.
Published: March 2019

Given the prevalence of pet dogs in households throughout the world, decisions regarding dog acquisition affect many people each year. Across the stages of dog acquisition there is potential for practices that may promote or compromise canine welfare. For instance, prospective owners may not fully understand the time, energy and financial commitment entailed in their decision to acquire a dog. Thus, it is pressing that stakeholders, including those working in the canine welfare sector, refine their ability to identify and respond to trends in the behavior of potential dog owners. The motivations, attitudes and behaviors of current and prospective dog owners is a small but growing area of interdisciplinary study. Yet, no synthesis of the evidence exists. To address this gap, this critical review collates data and insights from studies published by academic researchers and animal welfare charities. The most widely reported factors associated with acquisition behavior include: the dog’s physical appearance, behavior and health; social influences, such as trends in the popularity of certain breeds; demographic and socioeconomic factors; and the owner’s previous ownership experience. Overall, the research discussed in this paper highlights that complex interactions likely underpin the various factors that might influence prospective owners’ motivators and behaviors.
Effects of Fat Supplementation during Gestation on Reproductive Performance, Milk Composition of Sows and Intestinal Development of Their Offspring
Authors: Peng Xie , Yan Chuan , Hu Liang , Liu Yan , Xu Qin , Wang Ru , Qin Linlin , Wu Cheng , Fang Zhengfeng , Lin Yan , Xu Shengyu , Feng Bin , Zhuo Yong , Li Jian , Wu De , Che Lianqiang
Published: March 2019

Various fats are used in swine diets as sources of energy and essential fatty acids. Our aim was to evaluate the effects of fat supplementation during gestation on reproductive performance, milk composition of sows and intestinal development of their offspring. Fifty sows were randomly allocated into two groups receiving the control (CON) and high-fat diets (HF diet) during gestation. After farrowing, all sows received the same lactation diet and were fed ad libitum until weaning at day 20 of lactation. The results showed that being fed the HF diet did not markedly improve the performance of sows and their offspring. However, the HF diet increased (p < 0.05) the colostrum contents of protein and no-fat solids, and the plasma concentration of prolactin at farrowing. Moreover, piglets born of sows fed the HF diet had higher (p < 0.05) jejunal villous height, as well as deeper (p < 0.05) jejunal and colonic crypt depths compared with piglets born of sows fed the CON diet. In addition, piglets born of sows fed the HF diet had markedly increased (p < 0.05) mRNA abundances of innate immunity-related genes on toll-like receptor 4 (TLR-4), toll-like receptor 9 (TLR-9) and myeloid differentiation factor 88 (MyD88) in ileum compared with piglets born of sows fed the CON diet. These findings indicated that dietary fat supplementation during gestation did not markedly improve the performance of sows and their offspring, but improved colostrum quality and concentration of prolactin on the day of farrowing, associated with modifications of intestinal morphology and innate immunity of their offspring.
Effects of Supplementation of Piper sarmentosum Leaf Powder on Feed Efficiency, Rumen Ecology and Rumen Protozoal Concentration in Thai Native Beef Cattle
Authors: Cherdthong Anusorn , Khonkhaeng Benjamad , Foiklang Suban , Wanapat Metha , Gunun Nirawan , Gunun Pongsatorn , Chanjula Pin , Polyorach Sineenart
Published: March 2019

Methane (CH4) is an end-product of enteric fermentation in cattle [...]
Mouse Models of Genetically Altered Peroxiredoxin 6
Authors: Feinstein Sheldon I.
Published: March 2019

Peroxiredoxin 6 (Prdx6) has been shown to have three enzymatic activities: peroxidase, phospholipase A2 (PLA2) and acyl transferase. The peroxidase activity is unusual, as it is capable of reducing phospholipid hydroperoxides (as well as hydrogen peroxide and short chain organic peroxides). Knockout and overexpressing mice have been produced that demonstrate the effect that eliminating or overproducing Prdx6 has on the animals’ physiology. In addition, mutations in various amino acids of Prdx6 have been identified that interfere with different enzymatic functions as well as protein transport. These mutations were originally characterized biochemically; subsequently, several knock-in mouse strains have been produced, each containing one mutation. These mice include the S32T knock-in that affects protein transport, the C47S knock-in that inactivates the peroxidase enzymatic activity, the D140A knock-in that inactivates the PLA2 enzymatic activity and the H26A knock-in that inactivates the peroxidase and blocks binding to phospholipids. This review summarizes the properties of these mice based upon studies conducted with the knockout, overexpressing and knock-in mice and the effect of the genetic changes on the biochemistry and physiology of these mice. The availability of these mice is also briefly discussed.
Comparative Design Study for Power Reduction in Organic Optoelectronic Pulse Meter Sensor
Authors: Elsamnah Fahed , Bilgaiyan Anubha , Affiq Muhamad , Shim Chang-Hoon , Ishidai Hiroshi , Hattori Reiji
Published: March 2019

This paper demonstrated a new design structure for minimizing the power consumption of a pulse meter. Monolithic devices composed of a red (625 nm) organic light-emitting diode (OLED) and an organic photodiode (OPD) were fabricated on the same substrate. Two organic devices were designed differently. One had a circle-shaped OLED in the center of the device and was surrounded by the OPD, while the other had the opposite structure. The external quantum efficiency (EQE) of the OLED and the OPD were 7% and 37%, respectively. We evaluated and compared the signal-to-noise ratio (SNR) of the photoplethysmogram (PPG) signal on different parts of the body and successfully acquired clear PPG signals at those positions, where the best signal was obtained from the fingertip at a SNR of about 62 dB. The proposed organic pulse meter sensor was operated successfully with a power consumption of 0.1 mW. Eventually, the proposed organic biosensor reduced the power consumption and improved the capability of the pulse meter for long-term use.
PTEN as a Prognostic/Predictive Biomarker in Cancer: An Unfulfilled Promise?
Authors: Bazzichetto Chiara , Conciatori Fabiana , Pallocca Matteo , Falcone Italia , Fanciulli Maurizio , Cognetti Francesco , Milella Michele , Ciuffreda Ludovica
Published: March 2019

Identifying putative biomarkers of clinical outcomes in cancer is crucial for successful enrichment, and for the selection of patients who are the most likely to benefit from a specific therapeutic approach. Indeed, current research in personalized cancer therapy focuses on the possibility of identifying biomarkers that predict prognosis, sensitivity or resistance to therapies. Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is a tumor suppressor gene that regulates several crucial cell functions such as proliferation, survival, genomic stability and cell motility through both enzymatic and non-enzymatic activities and phosphatidylinositol 3-kinase (PI3K)-dependent and -independent mechanisms. Despite its undisputed role as a tumor suppressor, assessment of PTEN status in sporadic human tumors has yet to provide clinically robust prognostic, predictive or therapeutic information. This is possibly due to the exceptionally complex regulation of PTEN function, which involves genetic, transcriptional, post-transcriptional and post-translational events. This review shows a brief summary of the regulation and function of PTEN and discusses its controversial aspects as a prognostic/predictive biomarker.
Ion Channel Expression in Human Melanoma Samples: In Silico Identification and Experimental Validation of Molecular Targets
Authors: D’Arcangelo Daniela , Scatozza Francesca , Giampietri Claudia , Marchetti Paolo , Facchiano Francesco , Facchiano Antonio
Published: March 2019

Expression of 328 ion channel genes was investigated, by in silico analysis, in 170 human melanoma samples and controls. Ninety-one members of this gene-family (i.e., about 28%) show a significant (p < 0.05) differential expression in melanoma- vs. nevi-biopsies, taken from the GEO database. ROC (receiver operating characteristic) analysis selected 20 genes as potential markers showing the highest discrimination ability of melanoma vs. nevi (AUC > 0.90 and p < 0.0001). These 20 genes underwent a first in silico-validation round in an independent patients-dataset from GEO. A second-in silico-validation step was then carried out on a third human dataset in Oncomine. Finally, five genes were validated, showing extremely high sensitivity and specificity in melanoma detection (>90% in most cases). Such five genes (namely, SCNN1A, GJB3, KCNK7, GJB1, KCNN2) are novel potential melanoma markers or molecular targets, never previously related to melanoma. The “druggable genome” analysis was then carried out. Miconazole, an antifungal drug commonly used in clinics, is known to target KCNN2, the best candidate among the five identified genes. Miconazole was then tested in vitro in proliferation assays; it dose-dependently inhibited proliferation up to 90% and potently induced cell-death in A-375 and SKMEL-28 melanoma cells, while it showed no effect in control cells. Moreover, specific silencing of KCNN2 ion channel was achieved by siRNA transfection; under such condition miconazole strongly increases its anti-proliferative effect. In conclusion, the present study identified five ion channels that can potentially serve as sensitive and specific markers in human melanoma specimens and demonstrates that the antifungal drug miconazole, known to target one of the five identified ion channels, exerts strong and specific anti-melanoma effects in vitro.
Role of Protein Kinases in Hedgehog Pathway Control and Implications for Cancer Therapy
Authors: Montagnani Valentina , Stecca Barbara
Published: March 2019

Hedgehog (HH) signaling is an evolutionarily conserved pathway that is crucial for growth and tissue patterning during embryonic development. It is mostly quiescent in the adult, where it regulates tissue homeostasis and stem cell behavior. Aberrant reactivation of HH signaling has been associated to several types of cancer, including those in the skin, brain, prostate, breast and hematological malignancies. Activation of the canonical HH signaling is triggered by binding of HH ligand to the twelve-transmembrane protein PATCHED. The binding releases the inhibition of the seven-transmembrane protein SMOOTHENED (SMO), leading to its phosphorylation and activation. Hence, SMO activates the transcriptional effectors of the HH signaling, that belong to the GLI family of transcription factors, acting through a not completely elucidated intracellular signaling cascade. Work from the last few years has shown that protein kinases phosphorylate several core components of the HH signaling, including SMO and the three GLI proteins, acting as powerful regulatory mechanisms to fine tune HH signaling activities. In this review, we will focus on the mechanistic influence of protein kinases on HH signaling transduction. We will also discuss the functional consequences of this regulation and the possible implications for cancer therapy.
Blockade of Lactate Dehydrogenase-A (LDH-A) Improves Efficacy of Anti-Programmed Cell Death-1 (PD-1) Therapy in Melanoma
Authors: Daneshmandi Saeed , Wegiel Barbara , Seth Pankaj
Published: March 2019

Immunotherapy is a curable treatment for certain cancers, but it is still only effective in a small subset of patients. We have recently reported that programmed cell death protein-1 (PD-1) ligand (PD-L1) expression is regulated by lactate present at high levels in the tumor microenvironment (TME). We hypothesized that the efficacy of anti-PD-1 treatment can be improved by blocking the lactate-generating enzyme, lactate dehydrogenase-A (LDH-A). Anti-PD-1 treatment of mice harboring LDH-A deficient B16-F10 melanoma tumors led to an increase in anti-tumor immune responses compared to mice implanted with tumors expressing LDH-A. Specifically, we observed heightened infiltration of natural killer (NK) cells and CD8+ cytotoxic T cells in the LDH-A deficient tumors. These infiltrated cytotoxic cells had an elevated production of interferon-γ (IFN-γ) and granzyme B. Mechanistically, CD8+ T cells isolated from the TME of LDH-A deficient B16-F10 melanoma tumors and treated with anti-PD-1 showed enhanced mitochondrial activity and increased reactive oxygen species (ROS) levels. Moreover, infiltration of T regulatory (Treg) cells was diminished in LDH-A deficient tumors treated with anti-PD-1. These altered immune cell profiles were clinically relevant as they were accompanied by significantly reduced tumor growth. Our study suggests that blocking LDH-A in the tumor might improve the efficacy of anti-PD-1 therapy.
Modulation of Receptor Tyrosine Kinase Activity through Alternative Splicing of Ligands and Receptors in the VEGF-A/VEGFR Axis
Authors: Stevens Megan , Oltean Sebastian
Published: March 2019

Vascular endothelial growth factor A (VEGF-A) signaling is essential for physiological and pathological angiogenesis. Alternative splicing of the VEGF-A pre-mRNA gives rise to a pro-angiogenic family of isoforms with a differing number of amino acids (VEGF-Axxxa), as well as a family of isoforms with anti-angiogenic properties (VEGF-Axxxb). The biological functions of VEGF-A proteins are mediated by a family of cognate protein tyrosine kinase receptors, known as the VEGF receptors (VEGFRs). VEGF-A binds to both VEGFR-1, largely suggested to function as a decoy receptor, and VEGFR-2, the predominant signaling receptor. Both VEGFR-1 and VEGFR-2 can also be alternatively spliced to generate soluble isoforms (sVEGFR-1/sVEGFR-2). The disruption of the splicing of just one of these genes can result in changes to the entire VEGF-A/VEGFR signaling axis, such as the increase in VEGF-A165a relative to VEGF-A165b resulting in increased VEGFR-2 signaling and aberrant angiogenesis in cancer. Research into this signaling axis has recently focused on manipulating the splicing of these genes as a potential therapeutic avenue in disease. Therefore, further research into understanding the mechanisms by which the splicing of VEGF-A/VEGFR-1/VEGFR-2 is regulated will help in the development of drugs aimed at manipulating splicing or inhibiting specific splice isoforms in a therapeutic manner.
Detailed Characterization of the Effect of Application of Commercially Available Surface Treatment Agents on Textile Wetting Behavior
Authors: Staudt Johannes , Leyer Stephan , Duchowski John K.
Published: March 2019

The change in the wetting behavior of a standard commercially available textile material in response to surface treatment has been thoroughly characterized with conventional laboratory measurement techniques. The characterization was carried out by taking a series of contact angle measurements that allowed for the determination of the corresponding shift in substrate surface energy as a result of the applied treatment. The collected surface energy values were expressed in terms of the spreading parameter S, which was used to describe phase behavior at the substrate/droplet interface. However, these results showed that the use of a coarse parameter S, or even the work of adhesion ( W a ) and the work of cohesion ( W c ) parameters alone did not adequately account for the observed wetting behavior. A proper description of droplet formation on substrate surface was provided only when the interfacial interaction was examined at a more detailed level by involving the individual dispersive ( σ l d , σ s d ) and polar ( σ l p , σ s p ) surface energy components of both the solid and the wetting liquid. The methodology for characterization of interactions between a textile substrate coated with various surface active agents and several functional fluids have been developed. Several practical examples of how this methodology can be applied to describe the substrate surface treatment and the resulting wetting behavior are described herein.
Maintenance and Restoration Effect of the Surface Hydrophilicity of Pure Titanium by Sodium Hydroxide Treatment and Its Effect on the Bioactivity of Osteoblasts
Authors: Jiang Lulu , Jin Shan , Geng Shuangshuang , Deng Chunfu , Lin Zeng , Zhao Baohong
Published: March 2019

In recent years, studies on the surface of titanium implants have shown that hydrophilic properties have a positive effect on bone binding, warranting further investigation into the maintenance and restoration of hydrophilic properties. In this work, a hydrophilic surface was obtained by plasma oxidation on the surface of sandblasted and acid-etched (SLA) titanium discs. We aimed to determine the effect of sodium hydroxide (NaOH) treatment on the maintenance and restoration of the surface hydrophilicity of titanium discs, as well as the relationship between the changes in hydrophilic properties on titanium surfaces and their biological properties. The results show that the treatment of hydrophilic surfaces with SLA, plasma oxidation, and NaOH treatments tend to enhance the early stages of cell adhesion, proliferation, and differentiation. Those results provide important guidance that SLA, plasma oxidation, and NaOH treatments can be used to restore the hydrophilic property of Ti that has been stored under room temperature and atmospheric pressure conditions.
Effect of Impurity Ions on Solubility and Metastable Zone Width of Lithium Metaborate Salts
Authors: Li Dan , Ma Yong , Meng Lingzong , Guo Yafei , Deng Tianlong , Yang Lan
Published: March 2019

The metastable zone width (MZW) of lithium metaborate salts at various concentrations was determined using the laser technique. The solubility data for lithium metaborate salts was nearly the same in the presence of NaCl at various concentrations. The MZW of lithium metaborate salts decreased when the stirring rate increased, but increased remarkably with increasing cooling rates and an increasing concentration of sodium chloride. The apparent secondary nucleation order for lithium metaborate salts was obtained using the Nývlt’s approach. The apparent secondary nucleation order m of lithium metaborate salts is 4.00 in a pure LiBO2−H2O system with an improved linear regression method. The m for lithium metaborate salts was enlarged in the system LiBO2−NaCl−H2O.
Diagnosis of Intermittently Faulty Units at System Level
Authors: Mashkov Viktor , Fiser Jirí , Lytvynenko Volodymyr , Voronenko Maria
Published: March 2019

Mostly, diagnosis at a system level intends to identify only permanently faulty units. In the paper, we consider the case when both permanently and intermittently faulty units can occur in the system. Identification of intermittently faulty units has some specifics which we have considered in this paper. We also suggest the method which allows for distinguishing among different types of intermittent faults. A diagnosis procedure was suggested for each type of intermittent fault.
Entropy-Based Method to Evaluate Contact-Pressure Distribution for Assembly-Accuracy Stability Prediction
Authors: Chen Xiao , Jin Xin , Shang Ke , Zhang Zhijing
Published: March 2019

Assembly accuracy and accuracy stability prediction are significant research directions for improving the reliability and efficiency of precision assembly. In this study, an improved method for assembly accuracy stability prediction, based on the contact-pressure distribution entropy, is presented. By using the contact-pressure distribution as the evaluation parameter instead of the strain-energy distribution, the improved method can not only predict the assembly accuracy of precision assembly more efficiently, but also predict the stability of the assembly accuracy with variations in the ambient temperature. The contact pressure has a clearer mechanical significance than strain energy density in the assembly process, which can be used to distinguish the actual contact area from the contact surface. Hence, the improved method is more efficient and accurate than the original. This study utilizes the same case used in the original method and an additional case from the actual production process to verify the improved method. The correctness and validity of the improved method are proved by these case studies.
Efficient Algorithms for Coded Multicasting in Heterogeneous Caching Networks
Authors: Vettigli Giuseppe , Ji Mingyue , Shanmugam Karthikeyan , Llorca Jaime , Tulino Antonia M. , Caire Giuseppe
Published: March 2019

Coded multicasting has been shown to be a promising approach to significantly improve the performance of content delivery networks with multiple caches downstream of a common multicast link. However, the schemes that have been shown to achieve order-optimal performance require content items to be partitioned into several packets that grows exponentially with the number of caches, leading to codes of exponential complexity that jeopardize their promising performance benefits. In this paper, we address this crucial performance-complexity tradeoff in a heterogeneous caching network setting, where edge caches with possibly different storage capacity collect multiple content requests that may follow distinct demand distributions. We extend the asymptotic (in the number of packets per file) analysis of shared link caching networks to heterogeneous network settings, and present novel coded multicast schemes, based on local graph coloring, that exhibit polynomial-time complexity in all the system parameters, while preserving the asymptotically proven multiplicative caching gain even for finite file packetization. We further demonstrate that the packetization order (the number of packets each file is split into) can be traded-off with the number of requests collected by each cache, while preserving the same multiplicative caching gain. Simulation results confirm the superiority of the proposed schemes and illustrate the interesting request aggregation vs. packetization order tradeoff within several practical settings. Our results provide a compelling step towards the practical achievability of the promising multiplicative caching gain in next generation access networks.
MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings
Authors: Li Zhuorui , Ma Jun , Wang Xiaodong , Wu Jiande
Published: March 2019

In order to extract fault features of rolling bearings to characterize their operation state effectively, an improved method, based on modified variational mode decomposition (MVMD) and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA), is proposed. Firstly, the MVMD method is introduced to decompose the vibration signal into intrinsic mode functions (IMFs), and then calculate the energy ratio of each IMF component. The IMF component is selected as the effective component from high energy ratio to low in turn until the total energy proportion Esum(t) ≥ 90%. The IMF effective components are reconstructed to obtain the subsequent analysis signal x_new(t). Secondly, the MOMEDA method is introduced to analyze x_new(t), extract the fault period impulse component x_cov(t), which is submerged by noise, and demodulate the signal x_cov(t) by Teager energy operator demodulation (TEO) to calculate Teager energy spectrum. Thirdly, matching the dominant frequency in the spectrum with the fault characteristic frequency of rolling bearings, the fault feature extraction of rolling bearings are completed. Finally, the experiments have compared MVMD-MOEDA-TEO with MVMD-TEO and MOMEDA-TEO based on two different data sets to verify the superiority of the proposed method. The experimental results show that MVMD-MOMEDA-TEO method has better performance than the other two methods, and provides a new solution for condition monitoring and fault diagnosis of rolling bearings.
A New Extension of the Generalized Half Logistic Distribution with Applications to Real Data
Authors: Muhammad Mustapha , Liu Lixia
Published: March 2019

In this paper, we introduced a new three-parameter probability model called Poisson generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing, unimodal and bathtub failure rates depending on the parameters. The relationship of PoiGHL with the exponentiated Weibull Poisson (EWP), Poisson exponentiated Erlang-truncated exponential (PEETE), and Poisson generalized Gompertz (PGG) model is discussed. We also characterized the PoiGHL sub model, i.e the half logistic Poisson (HLP), based on certain functions of a random variable by truncated moments. Several mathematical and statistical properties of the PoiGHL are investigated such as moments, mean deviations, Bonferroni and Lorenz curves, order statistics, Shannon and Renyi entropy, Kullback-Leibler divergence, moments of residual life, and probability weighted moments. Estimation of the model parameters was achieved by maximum likelihood technique and assessed by simulation studies. The stress-strength analysis was discussed in detail based on maximum likelihood estimation (MLE), we derived the asymptotic confidence interval of R = P ( X 1 < X 2 ) based on the MLEs, and examine by simulation studies. In three applications to real data set PoiGHL provided better fit and outperform some other popular distributions. In the stress-strength parameter estimation PoiGHL model illustrated as a reliable choice in reliability analysis as shown using two real data set.
The Influence of Internal Intermittency, Large Scale Inhomogeneity, and Impeller Type on Drop Size Distribution in Turbulent Liquid-Liquid Dispersions
Authors: Podgórska Wioletta
Published: March 2019

The influence of the impeller type on drop size distribution (DSD) in turbulent liquid-liquid dispersion is considered in this paper. The effects of the application of two impellers, high power number, high shear impeller (six blade Rushton turbine, RT) and three blade low power number, and a high efficiency impeller (HE3) are compared. Large-scale and fine-scale inhomogeneity are taken into account. The flow field and the properties of the turbulence (energy dissipation rate and integral scale of turbulence) in the agitated vessel are determined using the k-ε model. The intermittency of turbulence is taken into account in droplet breakage and coalescence models by using multifractal formalism. The solution of the population balance equation for lean dispersions (when the only breakage takes place) with a dispersed phase of low viscosity (pure system or system containing surfactant), as well as high viscosity, show that at the same power input per unit mass HE3 impeller produces much smaller droplets. In the case of fast coalescence (low dispersed phase viscosity, no surfactant), the model predicts similar droplets generated by both impellers. In the case of a dispersed phase of high viscosity, when the mobility of the drop surface is reduced, HE3 produces slightly smaller droplets.
Robust Inference after Random Projections via Hellinger Distance for Location-Scale Family
Authors: Li Lei , Vidyashankar Anand N. , Diao Guoqing , Ahmed Ejaz
Published: March 2019

Big data and streaming data are encountered in a variety of contemporary applications in business and industry. In such cases, it is common to use random projections to reduce the dimension of the data yielding compressed data. These data however possess various anomalies such as heterogeneity, outliers, and round-off errors which are hard to detect due to volume and processing challenges. This paper describes a new robust and efficient methodology, using Hellinger distance, to analyze the compressed data. Using large sample methods and numerical experiments, it is demonstrated that a routine use of robust estimation procedure is feasible. The role of double limits in understanding the efficiency and robustness is brought out, which is of independent interest.
Incorporating State-of-Charge Balancing into the Control of Energy Storage Systems for Smoothing Renewable Intermittency
Authors: Shim Jae Woong , Kim Heejin , Hur Kyeon
Published: March 2019

This paper proposes an effective control methodology for the Energy Storage System (ESS), compensating for renewable energy intermittency. By connecting generation variability and the preset service range of the State of Charge (SOC), this methodology successfully secures the desired SOC range while smoothing out power fluctuations. Adaptive to grid conditions, it can adjust response time (control bandwidth) of the ESS via energy feedback coefficients subject to the ESS capacity and its SOC range. This flexibility facilitates the process of developing ESS operation and planning strategies. Mathematical analysis proves that the proposed method controls the ESS to perform best for specific frequency bands associated with power fluctuation. Time-domain simulation studies along with power-spectrum analysis using PSCAD and MATLAB demonstrate the excellent power-smoothing performance to the power grid.
Evaluation of Large-Scale Production of Chitosan Microbeads Modified with Nanoparticles Based on Exergy Analysis
Authors: Meramo-Hurtado Samir , Herrera-Barros Adriana , González-Delgado Ángel
Published: March 2019

Novel technologies for bio-adsorbent production are being evaluated on the lab-scale in order to find the most adequate processing alternative under technical parameters. However, the poor energy efficiency of promising technologies can be a drawback for large-scale production of these bio-adsorbents. In this work, exergy analysis was used as a computer-aided tool to evaluate from the energy point of view, the behavior of three bio-adsorbent production topologies at large scale for obtaining chitosan microbeads modified with magnetic and photocatalytic nanoparticles. The routes were modeled using an industrial process simulation software, based on experimental results and information reported in literature. Mass, energy and exergy balances were performed for each alternative, physical and chemical exergies of streams and chemical species were calculated according to the thermodynamic properties of biomass components and operating conditions of stages. Exergy efficiencies, total process irreversibilities, energy consumption, and exergy destruction were calculated for all routes. Route 2 presents the highest process irreversibilities and route 3 has the highest exergy of utilities. Exergy efficiencies were similar for all simulated cases, which did not allow to choose the best alternative under energy viewpoint. Exergy sinks for each topology were detected. As values of exergy efficiency were under 3%, it was shown that there are process improvement opportunities in product drying stages and washing water recovery for the three routes.
Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling
Authors: Manuel de Villena Miguel , Fonteneau Raphael , Gautier Axel , Ernst Damien
Published: March 2019

In the context of increasing decentralised electricity generation, this paper evaluates the effect of different regulatory frameworks on the evolution of distribution networks. This problem is addressed by means of agent based modelling in which the interactions between the agents of a distribution network and an environment are described. The consumers and the distribution system operator are the agents, which act in an environment that is composed by a set of rules. For a given environment, we can simulate the evolution of the distribution network by computing the actions of the agents at every time step of a discrete time dynamical system. We assume the electricity consumers are rational agents that may deploy distributed energy installations. The deployment of such installations may alter the remuneration mechanism of the distribution system operator. By modelling this mechanism, we may compute the evolution of the electricity distribution tariff in response to the deployment of distributed generation.
A Semi-Analytical Method for Three-Dimensional Heat Transfer in Multi-Fracture Enhanced Geothermal Systems
Authors: Liu Dongdong , Xiang Yanyong
Published: March 2019

Multiple fractures have been proposed for improving the heat extracted from an enhanced geothermal system (EGS). For calculating the production temperature of a multi-fracture EGS, previous analytical or semi-analytical methods have all been based on an infinite scale of fractures and one-dimensional conduction in the rock matrix. Here, a temporal semi-analytical method is presented in which finite-scale fractures and three-dimensional conduction in the rock matrix are both considered. Firstly, the developed model was validated by comparing it with the analytical solution, which only considers one-dimensional conduction in the rock matrix. Then, the temporal semi-analytical method was used to predict the production temperature in order to investigate the effects of fracture spacing and fracture number on the response of an EGS with a constant total injection rate. The results demonstrate that enlarging the spacing between fractures and increasing the number of fractures can both improve the heat extraction; however, the latter approach is much more effective than the former. In addition, the temporal semi-analytical method is applicable for optimizing the design of an EGS with multiple fractures located equidistantly or non-equidistantly.
Smart Decision Support Systems for Volcanic Applications
Authors: Corradino Claudia , Ganci Gaetana , Bilotta Giuseppe , Cappello Annalisa , Del Negro Ciro , Fortuna Luigi
Published: March 2019

The huge amount of information coming from remote sensors on satellites has allowed monitoring changes in the planetary environment from about 50 years. These instruments are widely adopted to observe extreme thermal events such as eruptive phenomena in volcanic areas. Although the availability of so many different infrared sensors makes these instruments suitable to observe different kind of thermal phenomena, choosing the right infrared sensor to monitor each thermal event is not straightforward. In fact, the decision should take into account both the main features of the phenomena under investigation, e.g., its size and temperatures, that are often not known a priori, and the instruments specifications, e.g., spatial resolution. Here, a smart decision support system (SDSS) is proposed to address this task. In particular, we used a SDSS to simulate remote sensors responses, collect data coming from three different classes of remote sensors, retrieve information about the main features of the observed thermal event and, consequently, select the most suitable infrared remote sensor for the specific observed phenomena. Results obtained for a real case of study at Etna volcano is shown.
Carbon Footprint and Water Footprint of Electric Vehicles and Batteries Charging in View of Various Sources of Power Supply in the Czech Republic
Authors: Jursova Simona , Burchart-Korol Dorota , Pustejovska Pavlina
Published: March 2019

In the light of recent developments regarding electric vehicle market share, we assess the carbon footprint and water footprint of electric vehicles and provide a comparative analysis of energy use from the grid to charge electric vehicle batteries in the Czech Republic. The analysis builds on the electricity generation forecast for the Czech Republic for 2015–2050. The impact of different sources of electricity supply on carbon and water footprints were analyzed based on electricity generation by source for the period. Within the Life Cycle Assessment (LCA), the carbon footprint was calculated using the Intergovernmental Panel on Climate Change (IPCC) method, while the water footprint was determined by the Water Scarcity method. The computational LCA model was provided by the SimaPro v. 8.5 package with the Ecoinvent v. 3 database. The functional unit of study was running an electric vehicle over 100 km. The system boundary covered an electric vehicle life cycle from cradle to grave. For the analysis, we chose a vehicle powered by a lithium-ion battery with assumed consumption 19.9 kWh/100 km. The results show that electricity generated to charge electric vehicle batteries is the main determinant of carbon and water footprints related to electric vehicles in the Czech Republic. Another important factor is passenger car production. Nuclear power is the main determinant of the water footprint for the current and future electric vehicle charging, while, currently, lignite and hard coal are the main determinants of carbon footprint.
Challenges and Limitations of Karst Aquifer Vulnerability Mapping Based on the PaPRIKa Method—Application to a Large European Karst Aquifer (Fontaine de Vaucluse, France)
Authors: Ollivier Chloé , Chalikakis Konstantinos , Mazzilli Naomi , Kazakis Nerantzis , Lecomte Yoann , Danquigny Charles , Emblanch Christophe
Published: March 2019

Aquifer vulnerability maps can improve groundwater management for sustainable anthropogenic development. The latest update of karst aquifer vulnerability mapping is named: the Protection of Aquifers base on Protection, Rock type, Infiltration and KArstification (PaPRIKa). This multi-criteria assessment method is based on a weighting system whose criteria are selected according to the aquifer under study. In this study, the PaPRIKa method has been applied in the Fontaine de Vaucluse karst aquifer using the novel plugin for Quantum Geographic Information System (QGIS) software. The Fontaine de Vaucluse karst aquifer is the largest European karst hydrosystem with a catchment area that measures approximately 1162 km 2 . Four thematic maps were produced according to the criteria of protection, rock type, infiltration, and karst development. The plugin expedites the weighting system test and generates the final vulnerability map. At a large scale the vulnerability map is globally linked with primary geomorphological units and at the local scale is mostly affected by karst features that drive hydrodynamics. In conclusion, the novel QGIS plugin standardizes the application of the PaPRIKa method, saves time and prevents user omissions. The final vulnerability map provides useful contributions that are most relevant to groundwater managers and decision-makers. We highlight the sensibility of the vulnerability map to the weighting system and validation issues of the vulnerability map are raised.
High Precision Altimeter Demonstrates Simplification and Depression of Microtopography on Seismic Lines in Treed Peatlands
Authors: Stevenson Cassondra J. , Filicetti Angelo T. , Nielsen Scott E.
Published: March 2019

Seismic lines are linear forest clearings used for oil and gas exploration. The mechanical opening of forests for these narrow (3–10 meter) lines is believed to simplify microtopographic complexity and depress local topographic elevation. In treed peatlands, simplified microtopography limits tree regeneration by removing favourable microsites (hummocks) for tree recruitment and increasing the occurrence of flooding that reduces survival of tree seedlings. Little, however, has been done to quantify the microtopography of seismic lines and specifically the degree of alteration. Here, we measured microtopography at 102 treed peatland sites in northeast Alberta, Canada using a high precision hydrostatic altimeter (ZIPLEVEL PRO-2000) that measured variation in local topography of seismic lines and adjacent paired undisturbed forests. Sites were separated into four peatland ecosite types and the presence or absence of recent (<22 years) wildfires. Paired t-tests were used to compare microtopographic complexity and depression depth of seismic lines compared with adjacent forests. Microtopographic complexity on seismic lines was simplified by 20% compared to adjacent stands with no significant change between recently burned and unburned sites, nor between ecosites. Not only were seismic lines simplified, but they were also depressed in elevation by an average of 8 cm compared to adjacent forests with some minor variation between ecosites observed, but again not with recent wildfires. Thus, simplification of microtopographic complexity and the creation of depressions can persist decades after initial disturbance with some differences between peatland ecosites, implying the need for ecosite-specific restoration of topographic complexity. The importance of microtopography for tree regeneration on seismic lines remains an important question for reforestation of these disturbances and thus long-term recovery of habitat for species dependent on undisturbed peatlands, including woodland caribou.