bluuebunny/crossref_metadata_2025 huggingface dataset:
PERUBAHAN KEMAMPUAN KOMUNIKASI VERBAL PASIEN STROKE ISKEMIK DENGAN DISARTRIA PASCA LSVT LOUD DI RSI JEMURSARI SURABAYA
Authors: Yuliastuti Retno Ayu , Handayani Handayani , Kartini Yanis
Published: November 2018

Disartria adalah ketidaksempurnaan pengucapan artikulasi sehingga terjadi kerusakan komunikasi verbal. LSVT  Loud adalah suatu latihan bicara yang efektif digunakan untuk pasien disartria. LSVT Loud meningkatkan suara dan ucapan pada individu dengan cara mengobati patologi fisik yang mendasarinya terkait dengan gangguan suara.Tujuan dari penelitian adalah untuk menganalisis peningkatan kemampuan komunikasi verbal pasien stroke iskemik dengan disartria di Rumah Sakit Islam Jemursari Surabaya.

Desain penelitian ini Pre experimental, dengan populasi seluruh pasien stroke iskemik dengan disartria di Rumah Sakit Islam Jemursari Surabaya. Besar sampel 34 orang yang diambil dengan teknik consecutive sampling. Data dianalisis dengan uji pairet t-test α< 0,05.

Hasil penelitian didapatkan hampir seluruh responden (76,5 %) kemampuan komunikasi verbal pre LSVT Loud jelas dengan nilai minimum 46 dan nilai maksimum 78. Kemampuan komunikasi verbal post LSVT Loud sebagian besar responden (64,7 %) sangat jelas, nilai minimum 62 dan nilai maksimum 88 dengan perubahan skor 4 hingga 38. Berdasarkan analisis paired t-test p = 0,000 < α 0,05 sehingga H0 ditolak maka ada peningkatan kemampuan komunikasi verbal padapasien stroke iskemik dengan disartria di RumahSakit Islam Jemursari Surabaya pasca pemberian LSVT Loud.

Simpulan peneliti adalah ada perubahan kemampuan komunikasi verbal pasien stroke iskemik dengan disartria di Rumah Sakit Jemursari Surabaya pasca pemberian Lee Silverman Voice Treatment (LSVT) Loud, sehingga disarankan agar rumah sakit menginformasikan kepada rehab medik terutama speech therapy tentang manfaat peningkatan kemampuan komunikasi verbal dengan LSVT. Bagi peneliti berikutnya agar menggunakan kelompok kontrol pemberian terapi bicara yang biasa digunakan di rumah sakit sebagai pembanding keefektifitasan metode ini, selain itu saran bagi keluarga agar mendukung program terapi bicara pasien di rumah.

 Kata kunci: Stroke Iskemik, Disartria, Komunikasi Verbal, LSVT Loud
An Analysis of The Influence of Audit Capacity Stress, Size of The Company and The Independence of Audit Committee Upon Audit Quality at Company Banking Listed on BEI (Indonesia Stock Exchange) for The Period of 2012 – 2016
Authors: Manulang Asna
Published: November 2018

The objective of this research is to find out and to analyze the influence ofaudit capacity stress, size of the company and the independence of audit committeeupon audit quality (empiric study at company banking listed on BEI period of 2012 –2016).The result of this research has shown that audit capacity stress, size of the companyand the independence of audit quality had not significantly influenced audit quality ofcompany banking listed on BEI.
PENGARUH GAYA KEPEMIMPINAN DEKANAT DAN REKTORAT TERHADAP KINERJA PEGAWAI DI UNIVERSITAS IBN KHALDUN BOGOR
Authors: Hilman Didi
Published: November 2018

This study attempted to investigate the relationship between leadership style ofoffice of University Head and leadership style of office of University Head of with employeesperformance of the University of Ibn Khaldun Bogor. This study conducted by survey method. Target population is all employees of the University of Ibn Khaldun Bogor of 32 totally, whice of 29 samples taken randomly.Reseach instrument for leadership style of office of University Head and based on content validity.The mainstay is calculated by alpha cronbach formulation. Tes result indicates that each instrumentmainstay as follows : Instrument of employees performance is rxy = 0.349, leadership style of office ofUniversity Head and office academic affair, respectively 0.304.Quantitatively, data analysis conducted by descriptive statistic and analysis technique of productmoment correlation and regression method.Test result conclude following items: firstly, there is a positive relationship between leadership styleof office of university head ( X1 ) and employees performance (Y) is with significance level is 0.05.secondly, there is positive relationship between leadership of office academic affair (X2) with employeesperformance (Y) is with significance level is 0,05. thirdly, there is positive relationship between leadership style of office of university head and office of academic affair with employees performance simultaneously,viz, with significance level is 0.05.Whereas, variable contribution of leadership style of office of university head with employeesperformance is and variable contribution of leadership style of office of academic affair with employeesperformance is.Kata kunci  : gaya kepemimpinan, kinerja pegawai.
CORRELATION BETWEEN LEADERSHIP AND COMPENSATION WITH THE SATISFATION OF THE EMPLOYEES AT PDAM TIRTA PAKUAN BOGOR
Authors: . Ratno
Published: November 2018

This research is intended to evaluate and measure the relationship of leadership and ompensation with employee job satisfaction. The research object is PDAM Tirta Pakuan Bogor. The population for this study was taken PDAM Tirta Pakuan employees population 180 worker. Samples were taken as many as 100 people using stratified random sampling method in the population because there are various levels of work. Questionnaire was used as research instrument. Further, data collected was analyzed using regression equation by deployed SPSS (Statistical Package for Social Science) software.Result indicates that : First leadership with employee job satisfaction has a very significant relationship and have a contribution 21.4%. Both compensation with employee job satisfaction has significant relationships and have a contribution 26.7%. The third leadership and compensation together have a relationship and have a very significant contribution of 32.6%, the remaining 67.4% is determined by other variables not examined.
BANKRUPTCY PREDICTION OF THE COMPANY USING ALTMAN Z–SCORE METHOD FOR THE CONVENTIONAL BANKS REGISTERED IN THE INDONESIA STOCKS EXCHANGE (BEI)
Authors: . Irwansyah
Published: November 2018

This study was conducted to prove the accuracy of bankruptcy prediction of Altman Z-Score model on conventional banks listed on the Indonesia Stock Exchange. The data used in this study is secondary data obtained from the annual financial statements of conventional banks during the period of 2013-2016 mentioned on the official website of the Indonesia Stock Exchange. The data analysis technique used is bankruptcy prediction of Altman Z-Score model, using five variables representing liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4 and X5. The formula Z-score = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + X5. When Z-Score criteria is Z > 2.90 it is categorized as a healthy company. Z-Score between 1.23 to 2.90 is categorized as a company in area. While Z-Score Z < 1.23 is categorized as a potential bankrupt company. Based on the results of the research, Z-Score analysis that has been done in the period of 2013-2016 indicating that most conventional banks are predicted bankrupt. The lowest score of the Z-Score is 1.23. Only one Bank Jtrust Indonesia Tbk (BCIC bank code) is in a healthy category. Bank Mandiri (Persero) Tbk with BMRI bank code, has been increasing from the prediction of bankruptcy category to the prediction of gray area category.Keywords: Altman Z-Score, Conventional Banks Listed on BEI 2013-2016, Prediction of Bankruptcy.
Quality of ANC Treatment and Clients Satisfaction at BPM Hj. Elsye Agustin
Authors: Nurmahmudah Endah , Hendarsah Heni
Published: November 2018

Rapid development of global worldwide has been happening ontechnology, information, science and health technology including reproduction healthhave impacted on a very tight competition in Health Sector. Recently, the society hasrequired quality of service, safety, comfortable and reasonable price. That is why amidwife is requested to be ready and able to respond quickly and anticipatemodernization and satisfy the customers. This research aims to figure out thecorrelation of the quality of antenatal care (ANC) treatment and the level of clients’satisfaction at BPM Hj. Elsye Agustin in Tasikmalaya. Data sampling technique hasapplied total sampling with cross sectional approach method. And data collection isprimary data. Primary data is the data taken directly from the respondents which hasbeen done by the researcher itself. Based on the result of the research, the quality ofANC treatment at BPM Hj. Elsye Agustin is good (66.3%), it explains that ANCtreatment has oriented to the pregnancy needs. Pregnant women who have receivedpregnancy treatment at BPM Hj. Elsye Agustin are satisfied (71.4%) indicating thatthe expectation of pregnant women to get a satisfied treatment has been fulfilled. Thecorrelation of the quality of ANC treatment and the clients satisfaction at BPM Hj.Elsye Agustin has identified p-value of 0.000 indicating that the clients/pregnantwomen are satisfied with ANC treament.
Usos de Internet por parte de los ciudadanos puertorriqueños en su relación con los médicos
Authors: De la Cruz Cuebas Iván
Published: November 2018

En este artículo discutimos cómo incide la utilización de Internet para la búsqueda de información de salud por parte de los ciudadanos puertorriqueños en la relación médico-paciente. En el mismo se explora si los pacientes comparten la información encontrada con sus médicos, además, de cómo es la reacción del doctor ante la búsqueda de información de salud en Internet por parte de sus pacientes o clientes. También, se trata de contestar la interrogante de si las búsquedas en línea mejoran la confianza en el médico y si estos profesionales de la salud recomiendan la consulta de páginas web de salud.
Low Birth Weight Babies Born to Mothers Admitted to Gynecology and Obstetrics Department of Dhaka Medical College Hospital
Authors: Nessa Zebun , Zaman Iffat , Ferdous Menoka , Rahman Sumana , Das Debalina
Published: November 2018

Background: World health organization estimates that 25 million low birth weight (LBW) babies are born annually worldwide and 95% occur in developing countries. Low birth weight is a major public health problem of Bangladesh. So an attempt was made to study the incidence of low birth weight (<2.5kg) and also the associated risk factors of low birth weight among the new born babies born to Dhaka Medical College Hospital.Aims: To determine the Prevalence of low weight among the babies born and to determine the relationship of low birth weight with maternal factor like maternal weight, height, gestational period, antenatal checkup, heavy physical work during pregnancy, hypertension, age of the mother and parity, in Obs. & Gynae Department, DMCH.Method: This descriptive cross sectional study was done in Gynecology and Obstetrics Department of Dhaka Medical College Hospital. Five hundred (500) samples were selected for the study. The study was done from 1st January 2006 to 31 December 2006. Data processing and questionnaire are processed manually using scientific calculator and by computer using SPSS programmers version-16. All abortions, still born, gross congenital abnormalities were excluded from this study. The cut off point used for low birth weight is 2.5 kg.Results: A total of 500 women were interviewed. The incidence of low birth were found 21.6%. Younger than 20 yrs (31.25%) and more than 40 years (35.71%) mother delivered more low birth weight babies. The primigravida and multigravida (>4 parity) showed more low birth weight babies. Women from low socioeconomic condition produced significantly larger number of low birth weight babies as well as short stature. Low maternal height, less educated, illiterate, manual worker mother delivered more low birth weight babies. Preterm birth comprises larger number of low birth weight (LBW 35%). Low height of new born babies also associated with low birth weight. Female babies were higher than the male babies. Preterm babies were lighter (LBW) than the full term babies.Conclusion: The study finds out the incidence of low birth babies, the figure close to the developing countries. The study revealed that maternal age, gestational age, parity, socioeconomic status, maternal weight and disease condition have strong relations with birth weight of babies. Occupation and antenatal check up also affects birth weight of babies.J Shaheed Suhrawardy Med Coll, June 2018, Vol.10(1); 16-22
The Death Penalty within the Bounds of Life/Death Alone: From the Deconstruction of Life to the Possibility of a Future Abolition
Authors: Mastrogiovanni Armando
Published: November 2018

This paper situates Derrida's two-year seminar on The Death Penalty within the new thinking of life he often insists lies at the heart of deconstruction. Derrida argues that the philosophical tradition is fundamentally unable to conceive of a principled opposition to the death penalty because within its system, the latter is both the quasi-transcendental condition of possibility of law in general and the very ‘proper of man’—the sacrificial machinery that makes human life inviolable. Against this tradition, Derrida advances the love for life as the principle on the basis of which the first true philosophical opposition to the death penalty must be founded. I analyze this position from the perspective of the performativity with which Derrida ‘declares’ it. This allows us to see that he identifies life, reconceived as survivance, as the performative self-relation of life's love for itself.
Force of Love
Authors: Marder Elissa
Published: November 2018

Despite the enormous changes in feminism, philosophy and literary theory since 1975, the year in which Hélène Cixous first wrote the small manifesto by which she remains best known, ‘The Laugh of the Medusa’ continues to find generations of new readers who, upon discovering it, often declare their passionate love for it. This essay explores the relation between the enduring love that this text continues to inspire and the deconstruction of love that is inscribed within it. Irreverently and playfully drawing upon psychoanalytic descriptions of laughter as a transgressive release of bound libidinal energies, Cixous's text gives birth to a language of love that inhabits and resists the laws of language from within.
On Hirth Ring Couplings: Design Principles Including the Effect of Friction
Authors: Croccolo Dario , De Agostinis Massimiliano , Fini Stefano , Olmi Giorgio , Robusto Francesco , Vincenzi Nicolò
Published: November 2018

Rings with Hirth couplings are primarily used for the accurate positioning of axial-symmetric components in the machine tool industry and, generally, in mechanical components. It is also possible to use Hirth rings as connection tools. Specific industries with special milling and grinding machines are able to manufacture both tailor made and standard Hirth rings available on stock. Unfortunately, no international standard (for instance ISO, DIN or AGMA) is available for the production and the design of such components. In the best-case scenario, it is possible to find simplified design formulae in the catalogue of the suppliers. The aim of this work is to provide some accurate formulae and computational methods for design to provide better awareness on the limitations and the potential of this type of connection. The work consists of five parts: (i) a review of the base calculation derived mainly from the catalogues of manufacturers; (ii) an improved calculation based on a new analytical method including the friction phenomenon; (iii) an experimentation run for validating the method; (iv) a case study applied to a machine tool; and, (v) a closed form formulation to determine an upper threshold for friction, thus ensuring the Hirth coupling regular performance.
Evidence for Right-Sided Horses Being More Optimistic than Left-Sided Horses
Authors: Marr Isabell , Farmer Kate , Krüger Konstanze
Published: November 2018

An individual’s positive or negative perspective when judging an ambiguous stimulus (cognitive bias) can be helpful when assessing animal welfare. Emotionality, as expressed in approach or withdrawal behaviour, is linked to brain asymmetry. The predisposition to process information in the left or right brain hemisphere is displayed in motor laterality. The quality of the information being processed is indicated by the sensory laterality. Consequently, it would be quicker and more repeatable to use motor or sensory laterality to evaluate cognitive bias than to perform the conventional judgment bias test. Therefore, the relationship between cognitive bias and motor or sensory laterality was tested. The horses (n = 17) were trained in a discrimination task involving a box that was placed in either a “positive” or “negative” location. To test for cognitive bias, the box was then placed in the middle, between the trained positive and negative location, in an ambiguous location, and the latency to approach the box was evaluated. Results indicated that horses that were more likely to use the right forelimb when moving off from a standing position were more likely to approach the ambiguous box with a shorter latency (generalized linear mixed model, p < 0.01), and therefore displayed a positive cognitive bias (optimistic).
Biological Relevance of Extra Virgin Olive Oil Polyphenols Metabolites
Authors: Serreli Gabriele , Deiana Monica
Published: November 2018

Extra virgin olive oil (EVOO) polyphenols beneficial effects have widely been debated throughout the last three decades, with greater attention to hydroxytyrosol and tyrosol, which are by far the most studied. The main concern about the evaluation of EVOO phenols activities in vitro and in vivo is that the absorption and metabolism of these compounds once ingested lead to the production of different metabolites in the human body. EVOO phenols in the ingested forms are less concentrated in human tissues than their glucuronide, sulfate and methyl metabolites; on the other hand, metabolites may undergo deconjugation before entering the cells and thus act as free forms or may be reformed inside the cells so acting as conjugated forms. In most in vitro studies the presence of methyl/sulfate/glucuronide functional groups does not seem to inhibit biological activity. Parent compounds and metabolites have been shown to reach tissue concentrations useful to exert beneficial effects others than antioxidant and scavenging properties, by modulating intracellular signaling and improving cellular response to oxidative stress and pro-inflammatory stimuli. This review aims to give an overview on the reported evidence of the positive effects exerted by the main EVOO polyphenols metabolites in comparison with the parent compounds.
Interpolation of Turbulent Boundary Layer Profiles Measured in Flight Using Response Surface Methodology
Authors: Takahashi Hidemi , Kurita Mitsuru , Iijima Hidetoshi , Sasamori Monami
Published: November 2018

Turbulent boundary layer profiles on the aircraft surface were characterized by pitot-rake measurements conducted in flight experiments at high subsonic Mach number ranges. Due to slight variations in atmospheric air conditions or aircraft attitudes, such as angles of attack and absolute flight speeds at different flights even under the same premised flight conditions, the boundary layer profiles measured at different flights can exhibit different shape and velocity values. This concern leads to difficulty in evaluating the efficiency of using some kind of drag-controlling device such as riblets in the flight test, since the evaluation would be conducted by comparing the profiles measured with and without using riblets at different flights. An approach was implemented to interpolate the boundary layer profile for a flight condition of interest based on the response surface method, in order to eliminate the influence of the flight conditional difference. Results showed that the interpolation with the 3rd-degree response surface model with a combination of two independent variables of flight Mach number and total pressure successfully eliminated the influence of the flight conditional difference, and interpolated the boundary layer profiles measured at different flights within an inaccuracy of 4.1% for the flight Mach number range of 0.5 to 0.78.
A Joint Dual-Frequency GNSS/SINS Deep-Coupled Navigation System for Polar Navigation
Authors: Zhao Lin , Wu Mouyan , Ding Jicheng , Kang Yingyao
Published: November 2018

The strategic position of the polar area and its rich natural resources are becoming increasingly important, while the northeast and northwest passages through the Arctic are receiving much attention as glaciers continue to melt. The global navigation satellite system (GNSS) can provide real-time observation data for the polar areas, but may suffer low elevation problems of satellites, signals with poor carrier-power-to-noise-density ratio (C/N0), ionospheric scintillations, and dynamic requirements. In order to improve the navigation performance in polar areas, a deep-coupled navigation system with dual-frequency GNSS and a grid strapdown inertial navigation system (SINS) is proposed in the paper. The coverage and visibility of the GNSS constellation in polar areas are briefly reviewed firstly. Then, the joint dual-frequency vector tracking architecture of GNSS is designed with the aid of grid SINS information, which can optimize the tracking band, sharing tracking information to aid weak signal channels with strong signal channels and meet the dynamic requirement to improve the accuracy and robustness of the system. Besides this, the ionosphere-free combination of global positioning system (GPS) L1 C/A and L2 signals is used in the proposed system to further reduce ionospheric influence. Finally, the performance of the system is tested using a hardware simulator and semiphysical experiments. Experimental results indicate that the proposed system can obtain a better navigation accuracy and robust performance in polar areas.
Pursuing High Quality Phase-Only Liquid Crystal on Silicon (LCoS) Devices
Authors: Chen Huang-Ming Philip , Yang Jhou-Pu , Yen Hao-Ting , Hsu Zheng-Ning , Huang Yuge , Wu Shin-Tson
Published: November 2018

Fine pixel size and high-resolution liquid crystal on silicon (LCoS) backplanes have been developed by various companies and research groups since 1973. The development of LCoS is not only beneficial for full high definition displays but also to spatial light modulation. The high-quality and well-calibrated panels can project computer generated hologram (CGH) designs faithfully for phase-only holography, which can be widely utilized in 2D/3D holographic video projectors and components for optical telecommunications. As a result, we start by summarizing the current status of high-resolution panels, followed by addressing issues related to the driving frequency (i.e., liquid crystal response time and hardware interface). LCoS panel qualities were evaluated based on the following four characteristics: phase linearity control, phase precision, phase stability, and phase accuracy.
Assessing and Prioritising Delay Factors of Prefabricated Concrete Building Projects in China
Authors: Ji Yingbo , Qi Lin , Liu Yan , Liu Xinnan , Li Hong Xian , Li Yan
Published: November 2018

Prefabricated construction has been widely accepted as an alternative to conventional cast-in-situ construction, given its improved performance. However, prefabricated concrete building projects frequently encounter significant delays. It is, therefore, crucial to identify key factors affecting schedule and explore strategies to minimise the schedule delays for prefabricated concrete building projects. This paper adopts the decision-making trial and evaluation laboratory (DEMATEL) model and analytic network process (ANP) method to quantify the cause-and-effect relationships and prioritise the key delay factors in terms of their importance in the Chinese construction industry. The DEMATEL model evaluates the extent to which each factor impacts other factors. The quantified extents are then converted into a prioritisation matrix through ANP. The delay factors of prefabricated construction projects are selected and categorised based on a literature review and an expert interview. Questionnaires are then implemented to collect the data. The results reveal that the issue of inefficient structural connections for prefabricated components is found to be the most significant factor and most easily affected by other delay factors. This research also suggests prioritising major delay factors, such as ‘lack of communication among participants’ and ‘low productivity’, in the Chinese construction industry during scheduling control. Overall, this research contributes an assessment framework for decision making in the scheduling management of prefabricated construction.
A Real-Time Measurement Method of Air Refractive Index Based on Special Material Etalon
Authors: Ren Guo-Ying , Qu Xing-Hua , Ding Shuang
Published: November 2018

In the precise displacement measurement based on laser interferometry, the measurement technology for the refractive index of air is widely used to improve the measurement accuracy. However, the existing measurement method of the refractive index of air based on direct measurement is not easy to realize in practical work because of its complex measurement principle and the huge volume of the measurement device; while the measurement accuracy and speed based on the indirect method cannot adapt to the real-time, fast and accurate measurement requirements of industrially changing environments, resulting in distortion of the results. In this study, a measurement method of the refractive index of air based on a special material etalon is proposed. The method enables rapid and direct measurement of the air refractive index when the environment changes and it is given the realization process. Finally, the experimental results show that the deviation between this method and the modified Edlen formula is about 2.5 × 10−7, and that this method can quickly reflect the changes of the environment, which prove the correctness of this method and its ability manage rapid environmental responses. This method is worth popularizing in industrial measurement.
Evaluating the Energy-Saving Potential of Solar Dedicated Ventilation Systems Based on ADRC
Authors: Zhang Lian , Chen Zijian , Wang Lijuan
Published: November 2018

A solar dedicated ventilation system based on active disturbance rejection controller (ADRC) has been designed in this study and tested by experimental research to acquire better control accuracy and energy-saving potential compared with former systems. This system involves photovoltaic, solar thermal, and dedicated ventilation systems and ADRC. The solar energy replaces traditional energy to realize energy-saving potential, and ADRC takes the place of a conventional controller to gain control accuracy. The experimental results show that the temperature standard deviation is from 0.09 to 0.15 °C and difference between maximum and minimum is 0.33 to 0.49 °C (<0.5 °C) at different outdoor conditions to meet accurate control requirements. The results also show the energy-saving potential of the solar dedicated ventilation system as being equal to the power consumption of traditional systems, not including extreme situations. The solar dedicated ventilation system was used for actual operation of the cooling system of a laboratory precisely and efficiently. Consequently, the solar dedicated ventilation system based on ADRC is most suitable for hot and humid places to achieve the energy-saving objective.
A Simplified Analysis to Predict the Fire Hazard of Primary Lithium Battery
Authors: Chen Mingyi , Liu Jiahao , Dongxu Ouyang , Cao Shuchao , Wang Zhi , Wang Jian
Published: November 2018

To better understand the fire risk of primary lithium batteries, the combustion properties of different numbers of primary lithium batteries were investigated experimentally in this work. Based on the t2 fire principle and total heat release results from the experiments, a simplified analysis was developed to predict the fire hazard, and especially the heat release rate, of primary lithium batteries. By comparing the experiment and simulation results, the simulation line agrees well with the heat release rate curve based on the oxygen consumption measurements of a single primary lithium battery. When multiple batteries are burned, each battery ignites at different times throughout the process. The ignition time difference parameter is introduced into the simulation to achieve similar results as during multiple batteries combustion. These simulation curves conform well to the experimental curves, demonstrating that this heat release rate simulation analysis is suitable for application in batteries fires.
Li-Ion Battery-Flywheel Hybrid Storage System: Countering Battery Aging During a Grid Frequency Regulation Service
Authors: Dambone Sessa Sebastian , Tortella Andrea , Andriollo Mauro , Benato Roberto
Published: November 2018

In this paper, a hybrid storage system solution consisting of flywheels and batteries with a Lithium-manganese oxide cathode and a graphite anode is proposed, for supporting the electrical network primary frequency regulation. The aim of the paper is to investigate the benefits of flywheels in mitigation of the accelerating aging that li-ion batteries suffer during the grid frequency regulation operation. For this purpose, experimental aging tests have been performed on a lithium-manganese oxide battery module and an electrical battery model which takes into account the battery aging has been developed in a Simulink environment. Then, a flywheel electrical model has been implemented, taking into account the thermal and the electromechanical phenomena governing the electrical power exchange. This more complete model of a hybrid storage system enables us to simulate the same aging cycles of the battery-based storage system and to compare the performances of the latter with the hybrid storage system. The simulation results suggest that suitable control of the power shared between the batteries and the flywheels could effectively help in countering Li-ion battery accelerated aging due to the grid frequency regulation service.
Combustion State Recognition of Flame Images Using Radial Chebyshev Moment Invariants Coupled with an IFA-WSVM Model
Authors: Yang Meng , Bian Yongming , Yang Jixiang , Liu Guangjun
Published: November 2018

Accurate combustion state recognition of flame images not only plays an important role in social security, but also contributes to increasing thermal efficiency and product quality. To improve the accuracy of feature extraction and achieve the combustion state recognition, a novel method based on radial Chebyshev moment invariants (RCMIs) and an improved firefly algorithm-wavelet support vector machine (IFA-WSVM) model is proposed. Firstly, the potential flame pixels and the potential flame contour are obtained in the pre-processing phase. Then, the rotation, translation and scaling (RTS) invariants of radial Chebyshev moments are derived. Combing the region and contour moments, the RCMIs of pre-processed and edge images are calculated to construct multi-feature vectors. To enhance the recognition performance, an IFA-WSVM model is built, where the IFA is applied to search the best parameters of WSVM. Then, the IFA-WSVM model is used to recognize the combustion state. Finally, the result for case studies show that the proposed method is superior to methods based on HMIs and ZMIs, achieving the highest rate of 99.07% in real time. The IFA algorithm also outperforms other benchmark algorithms. Even for the images transformed by RTS and small size of training sets, the proposed method continues to exhibit the best performance.
Effective Prediction of Bearing Fault Degradation under Different Crack Sizes Using a Deep Neural Network
Authors: Nguyen Hung Ngoc , Kim Cheol-Hong , Kim Jong-Myon
Published: November 2018

Exact evaluation of the degradation levels in bearing defects is one of the most essential works in bearing condition monitoring. This paper proposed an efficient evaluation method using a deep neural network (DNN) for correct prediction of degradation levels of bearings under different crack size conditions. An envelope technique was first used to capture the characteristic fault frequencies from acoustic emission (AE) signals of bearing defects. Accordingly, a health-related indicator (HI) calculation was performed on the collected envelope power spectrum (EPS) signals using a Gaussian window method to estimate the fault severities of bearings that served as an appropriate dataset for DNN training. The proposed DNN was then trained for effective prediction of bearing degradation using the Adam optimization-based backpropagation algorithm, in which the synaptic weights were optimally initialized by the Xavier initialization method. The effectiveness of the proposed degradation prediction approach was evaluated through different crack size experiments (3, 6, and 12 mm) of bearing faults.
Experimental Analyses on Multiscale Structural and Mechanical Properties of ε-Si/GeSi/C-Si Materials
Authors: Qiu Wei , Ma Lu-Lu , Wang Hong-Tao , Liang Ren-Rong , Zhao Yu-Cheng , Zhou Yun-Shen
Published: November 2018

Strained silicon (ε-Si) is a promising material that could extend Moore’s law by enhancing electron mobility. A ε-Si material is usually composed of multiscale, multilayer heterostructures, where the strained-silicon film or strap is tens-of-nanometers thick, and its buffer layers are of the micrometer scale. The structural properties determine the electrical performance and reliability of ε-Si-based devices. Inhomogeneous residual stress is induced during the preparation, which induces ε-Si structure failure. In this work, biaxial strained-silicon films that contain graded and relaxed germanium-silicon buffer layers were prepared on monocrystalline silicon wafers through reduced-pressure chemical-vapor epitaxy. The layer components and thicknesses were measured using energy-dispersive spectroscopy and scanning-electron microscopy. Crystal and lattice characters were observed by using high-resolution transmission-electron microscopy and micro-Raman spectroscopy. The residual stress distribution along cross-sections of the ε-Si multilayer structures was examined by using micro-Raman mapping. The experimental results showed that, with a gradual increase in germanium concentration, the increasing residual stress was suppressed owing to dislocation networks and dislocation loops inside the buffer layers, which favored the practical application.
Field Test and Numerical Simulation for Coordinated Deformation of New Subgrade and Old Embankment Adjacent to River
Authors: Wei Jihong , Song Zezhuo , Bai Yuxia , Liu Jin , Kanungo Debi Prasanna , Sun Shaorui
Published: November 2018

With the development of the economy in China, original roads may be unable to cope with the existing traffic. The expansion of the old embankment is the core problem for road expansion. Soft foundation differential settlements and pavement cracking along the joint between the new subgrade and old embankment often emerge after construction, especially during the operational period of the road. The Binjiang Avenue Project in Nanjing, China, is taken as a research example in this paper, and a typical test zone of about 300.0 m in length was selected to conduct research work through in-situ tests. The coordinated deformations of the subgrade combined with the old embankment under conditions of consolidation by drainage were researched using in-situ tests and numerical modeling. During the process of numerical modeling, the vertical drainage system in the compressible soft ground layers was simplified to be represented as the drainage band model and the equivalent sand-wall model. In addition, a soft ground creep model was adopted to calculate the deformation of the subgrade with the construction process. A comparison of the results between field tests and numerical simulations was carried out. The results show that there is good uniformity for both. Based on the results, three indexes for the new and old subgrade, such as the differential settlement, total settlement and post-settlement, should be viewed as the basis for the design and construction of the new subgrade and old embankment. Additionally, it was found that the soft ground model, drainage band model and equivalent sand-wall model are all completely suitable for the numerical modeling of the soft ground reinforcement subgrade. These results also provide a theoretical basis for the construction method of similar projects.
Dead-Beat Control Cooperating with State Observer for Single-Phase Electric Springs
Authors: Wang Qingsong , Zuo Wujian , Cheng Ming , Deng Fujin , Buja Giuseppe
Published: November 2018

Aiming at improving the performance of the existing for single-phase electric springs (ESs), such as the fastness of the voltage stabilization and the mitigation of the voltage harmonics across the critical loads (CLs), the dead-beat control cooperating with state observer is proposed in this paper. First, the δ control is reviewed, outlining its features of regulation of the CL voltage while keeping the ES operation stable. After describing the operation of an ES in the continuous-time domain by the state-space technique, its discrete-time model is formulated using the zero-order-hold (ZOH) algorithm. Then, the control system for an ES is designed around the dead-beat control cooperating with a state observer and implementing the two typical compensation functions achievable with the δ control, namely the pure reactive power compensation and the power factor correction. Results obtained by simulation demonstrate that the control system is able to both properly drive an ES and to implement the two functions. The results also show that the proposed control system has the advantage of eliminating harmonic components in CL voltage when grid voltage distorts.
Design and Implementation of an IoT-Oriented Energy Management System Based on Non-Intrusive and Self-Organizing Neuro-Fuzzy Classification as an Electrical Energy Audit in Smart Homes
Authors: Lin Yu-Hsiu
Published: November 2018

Smart cities are built to help people address issues like air pollution, traffic optimization, and energy efficiency. Electrical energy efficiency has become a central research issue in the energy field. Smart houses and buildings, which lower electricity costs, form an integral part of a smart city in a smart grid. This article presents an Internet of Things (IoT)-oriented smart Home Energy Management System (HEMS) that identifies electrical home appliances based on a novel hybrid Unsupervised Automatic Clustering-Integrated Neural-Fuzzy Classification (UAC-NFC) model. The smart HEMS designed and implemented in this article is composed of (1) a set of IoT-empowered smart e-meters, called smart sockets, installed as a benchmark in a realistic domestic environment with uncertainties and deployed against non-intrusive load monitoring; (2) a central Advanced Reduced Instruction Set Computing machine-based home gateway configured with a ZigBee wireless communication network; and (3) a cloud-centered analytical platform constructed to the hybrid UAC-NFC model for Demand-Side Management (DSM)/home energy management as a load classification task. The novel hybrid UAC-NFC model proposed in DSM and presented in this article is used to overcome the difficulties in distinguishing electrical appliances operated under similar electrical features and classified as unsupervised and self-organized. The smart HEMS developed with the proposed novel hybrid UAC-NFC model for DSM was able to identify electrical household appliances with an acceptable average and generalized classification rate of 95.73%.
Changes in Phonation and Their Relations with Progress of Parkinson’s Disease
Authors: Galaz Zoltan , Mekyska Jiri , Zvoncak Vojtech , Mucha Jan , Kiska Tomas , Smekal Zdenek , Eliasova Ilona , Mrackova Martina , Kostalova Milena , Rektorova Irena , Faundez-Zanuy Marcos , Alonso-Hernandez Jesus B. , Gomez-Vilda Pedro
Published: November 2018

Hypokinetic dysarthria, which is associated with Parkinson’s disease (PD), affects several speech dimensions, including phonation. Although the scientific community has dealt with a quantitative analysis of phonation in PD patients, a complex research revealing probable relations between phonatory features and progress of PD is missing. Therefore, the aim of this study is to explore these relations and model them mathematically to be able to estimate progress of PD during a two-year follow-up. We enrolled 51 PD patients who were assessed by three commonly used clinical scales. In addition, we quantified eight possible phonatory disorders in five vowels. To identify the relationship between baseline phonatory features and changes in clinical scores, we performed a partial correlation analysis. Finally, we trained XGBoost models to predict the changes in clinical scores during a two-year follow-up. For two years, the patients’ voices became more aperiodic with increased microperturbations of frequency and amplitude. Next, the XGBoost models were able to predict changes in clinical scores with an error in range 11–26%. Although we identified some significant correlations between changes in phonatory features and clinical scores, they are less interpretable. This study suggests that it is possible to predict the progress of PD based on the acoustic analysis of phonation. Moreover, it recommends utilizing the sustained vowel /i/ instead of /a/.
Magnetic Field Effect on the Double Diffusive Natural Convection in Three-Dimensional Cavity Filled with Micropolar Nanofluid
Authors: Abidi Awatef , Raizah Zehba , Madiouli Jamel
Published: November 2018

This article presents a three-dimensional numerical investigation of heat and mass transfers and fluid flow in a cavity filled with an Al2O3/water micropolar fluid under uniform magnetic field. To solve the governing non-dimensional equations, Finite Volume Method (FVM) based on 3-D vorticity-vector potential formulation has been employed. The effects of various parameters such as buoyancy ratio (−2 ≤ N ≤ 0), Rayleigh number (103 ≤ Ra ≤ 105), Hartmann number (0≤ Ha≤ 60), nanoparticles volume fraction (0 ≤ φ ≤ 0.06) and micropolar material parameter (0≤ K≤ 5) on flow structure and on heat and mass transfers are presented. The results illustrate that for the micropolar nanofluid model, both heat and mass transfer rates and three-dimensional character of the flow are smaller when compared with the pure nanofluid model. It is also observed that increase and decrease in heat and mass transfer rates is experienced due to increase in Rayleigh number and Hartmann number, respectively. It is also noted that increase in vortex viscosity parameter reduces the average heat and mass transfer rates and is more evident when the magnetic field is imposed. Combined effects of magnetic field and nanoparticles volume fraction on heat and mass transfers are also explored.
Residual Level of Chlorpyrifos in Lettuces Grown on Chlorpyrifos-Treated Soils
Authors: Hwang Kyu-Won , Yoo Soo , Lee Sung-Eun , Moon Joon-Kwan
Published: November 2018

This study was conducted to investigate the residual loss of chlorpyrifos and the amount transferred to lettuce from soil. Field trials on lettuce were conducted in two different greenhouses located in Yongin (field 1) and Gwangju (field 2) in Korea. Soil and lettuce samples were collected on different days after the treatment of chlorpyrifos at two different levels. The initial residue of chlorpyrifos (0.86 and 2.31 mg/kg) in soils decreased to 0.06 and 0.18 mg/kg, respectively, at 36 days after treatment (DAT) in field 1, and the initial residue with values of 11.10 and 22.59 mg/kg decreased to 1.20 and 3.04 mg/kg, respectively, at 43 DAT in field 2. In field 1, the half-lives of chlorpyrifos were approximately 8.4 and 9.0 days for soils treated with 0.86 and 2.31 mg/kg, respectively, while in field 2, the half-lives of chlorpyrifos were approximately 18.7 and 13.9 days for soils treated with 11.10 and 22.59 mg/kg, respectively. Residue levels of chlorpyrifos on lettuce were 0.66–5.98% and 2.71–13.26% compared to the initial concentration in the soil. Therefore, the management guideline of chlorpyrifos for lettuce-cultivating soils could be suggested to be 0.75 mg/kg with regards to the Positive List System level of chlorpyrifos on lettuce of 0.01 mg/kg.
Classification of Heart Sound Signal Using Multiple Features
Authors: Yaseen  , Son Gui-Young , Kwon Soonil
Published: November 2018

Cardiac disorders are critical and must be diagnosed in the early stage using routine auscultation examination with high precision. Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic stethoscope is a device which provides the digital recording of the heart sound called phonocardiogram (PCG). This PCG signal carries useful information about the functionality and status of the heart and hence several signal processing and machine learning technique can be applied to study and diagnose heart disorders. Based on PCG signal, the heart sound signal can be classified to two main categories i.e., normal and abnormal categories. We have created database of 5 categories of heart sound signal (PCG signals) from various sources which contains one normal and 4 are abnormal categories. This study proposes an improved, automatic classification algorithm for cardiac disorder by heart sound signal. We extract features from phonocardiogram signal and then process those features using machine learning techniques for classification. In features extraction, we have used Mel Frequency Cepstral Coefficient (MFCCs) and Discrete Wavelets Transform (DWT) features from the heart sound signal, and for learning and classification we have used support vector machine (SVM), deep neural network (DNN) and centroid displacement based k nearest neighbor. To improve the results and classification accuracy, we have combined MFCCs and DWT features for training and classification using SVM and DWT. From our experiments it has been clear that results can be greatly improved when Mel Frequency Cepstral Coefficient and Discrete Wavelets Transform features are fused together and used for classification via support vector machine, deep neural network and k-neareast neighbor(KNN). The methodology discussed in this paper can be used to diagnose heart disorders in patients up to 97% accuracy. The code and dataset can be accessed at “https://github.com/yaseen21khan/Classification-of-Heart-Sound-Signal-Using-Multiple-Features-/blob/master/README.md”.
Modeling of Muscle Activation from Electromyography Recordings in Patients with Cerebral Palsy
Authors: Roy Susmita , Alves-Pinto Ana , Lampe Renée
Published: November 2018

The present study estimated muscle activation from electromyographic (EMG) recordings in patients with cerebral palsy (CP) during cycling on an ergometer. This could be used as an input to the modeling of muscle force following the neuromusculoskeletal modeling technique which can help to understand the alterations in neuromotor processes underlying disabilities in CP. EMG signals of lower extremity muscle activity from 14 adult patients with CP and 10 adult healthy participants were used here to derive muscle activation. With a self developed EMG system, signals from the following muscles were recorded: Musculus tibialis anterior, Musculus gastrocnemius, Musculus rectus femoris, and Musculus biceps femoris. Collected EMG signals were mathematically transformed into muscle activation following a parameter dependent and a nonlinear transformation. Muscle activation values from patients with CP were compared to equivalent reference values obtained from healthy controls. Muscle activation calculated at specific foot positions deviated clearly from reference values. The deviation was larger for patients with higher degree of spasticity. Observations underline the need of muscle force modeling during cycling for individualized cycling training for rehabilitation strategy.