bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Sidewall Inclination on Performance of Electrothermal Micro-Actuator
Authors: Teng Siru , Cai Chunhua 
Published: August 2020

Abstract
As an important part of Micro-Electro-Mechanical systems (MEMS), micro-actuators have a direct impact on the performance of MEMS devices. This paper presents the effects of sidewall inclination of deep reactive ion etching (DRIE) on the performance of U-shaped electrothermal micro-actuators. The electrothermal micro-actuator models with sidewall inclination angles from -5° to 5° are simulated through finite element method (FEM) by ANSYS to study the influences on the output displacement and the highest node temperature. The simulation results show that electrothermal micro-actuator with larger sidewall inclination angle has more displacement deviation. In addition, larger voltage amplifies the deviation of displacement. The highest node temperature decreases with the increase of the sidewall inclination, and the deviation is small.
Review of Modern Field Effect Transistor Technologies for Scaling
Authors: Zhang Shubo 
Published: August 2020

Abstract
This paper mainly reviews the field-effect transistor technology most involved in the modern electronics industry. Short channel effect promotes the continuous update of the field effect transistor structure. Therefore, the principle and influence of the short channel effect is first introduced. This paper focuses on the development history and current status of fin structure and gate-all-around field effect transistors, as well as their respective technical difficulties. By reviewing these two main technologies, the development process and technical difficulties of the technology are basically clarified. At the same time, the applications of these technologies in the enterprise are introduced. And finally, the future development trend of the technology is proposed.
A Novel Approach for Indoor Positioning Based on RFID and UWB
Authors: Huang Zhengang , Han Zheng , Li Heng , Wang Huadeng 
Published: August 2020

Abstract
In recent years, with the rapid development of mobile communication network, wireless network technology and pervasive computing, the demand of location-based service, especially indoor positioning, is becoming increasingly urgent. Indoor positioning based on Ultra wideband (UWB) is one of the most accurate indoor positioning technologies; however, due to its high cost, it is difficult to cover the large indoor environment completely. In view of the limitations of the existing indoor positioning technology, this paper designs and implements an indoor positioning algorithm and prototype system based on RFID, which could assist the existing indoor positioning based on UWB and reduce costs on the premise of positioning. Experiments show that the algorithm in this paper has better effect than other methods.
Dual time-scale co-estimation of state-of-charge and state-of-health for lithium-ion battery pack with passive balance control over whole lifespan based on particle filter
Authors: Li Zhe , Ma Chenhui , Deng Bo , Ou Yang , Wang Yi , Meng Zaiqiang , Wang Peng , Fan Jie 
Published: August 2020

Abstract
Battery management system (BMS), as the key component in electric vehicles (EVs), takes the responsibility of sate-monitoring and safety-protection for the battery pack. State of charge (SOC) and state of health (SOH) are highly correlated with the safe and efficient operation of EVs, thus BMS must realize accurate estimation of them. This paper presents a combined SOC and SOH estimation for lithium-ion battery pack with passive balance control over the battery’s cycle lifespan. Considering the slow variation of SOH and fast variation of SOC, a dual time scale combined SOC and SOH estimation method is proposed. The battery cell with minimum capacity is located offline and then SOC is estimated and updated online, which lightens the computational burden for BMS on EVs. Results show that the proposed method can realize accurate SOC and SOH estimation. The SOH estimation error can be beneath 3% and the SOC estimation accuracy can improve 7%.
Savitzky-Golay Filtering and Improved Energy Entropy for Speech Endpoint Detection under Low SNR
Authors: Gan Zhenye , Hou Miaomiao , Hou Hexiang , Yang Hongwu 
Published: August 2020

Abstract
Under the condition of low signal-to-noise ratio (SNR) or non-stationary noise, the performance of endpoint detection is poor. Therefore, this paper proposes a speech endpoint detection algorithm for low SNR. In this paper, Savitzky-Golay filtering, improved sub-band energy entropy and constant Q-transform (CQT) are used to extract features, and single parameter double threshold method is used to realize endpoint detection. In this paper, clean speech and noise-92 speech fragments are used to evaluate the algorithm. Experimental results show that the algorithm in this paper can distinguish speech endpoints well. For Gaussian white noise, Factory noise and Volvo noise, the detection accuracy of the improved algorithm is improved by 5.5%, 5.3% and 4.6% respectively. Therefore, the algorithm in this paper can separate the mute and voice in complex environment.
Study on the Role and Approach of Culture Background Knowledge Dissemination Based on Information Technology Application
Authors: Wang Weifeng 
Published: August 2020

Abstract
In English teaching, it should be attached great importance to the infiltration of Culture Background Knowledge. Teachers should provide students with Culture Background Knowledge by means of information technology. Starting from the teaching practice, this paper explores the conjunction of information technology and culture background knowledge teaching, and discusses how to infiltrate English Culture Background Knowledge in information technology teaching from multiple perspectives.
Phaseless signal recovery from triple-window short-time Fourier measurements
Authors: Lin Wei , Zhang Ruiqiong , Xu Xinlan , Min Hao 
Published: August 2020

Abstract
In this paper, we present a signal recovering algorithm from the magnitudes of its short-time Fourier transform when triple window functions are utilized. Some sufficient conditions are proved on the window functions under which the magnitude of the signal vector can be recovered and the phases of the rest of coordinates can be propagated. Finally, we propose an example to show that the signal vector, up to a unimodular, can be recovered from the magnitudes of its triple-window short-time Fourier transforms.
Application of DBSCAN Algorithm in Data Sampling
Authors: Deng Dingsheng 
Published: August 2020

Abstract
Data sampling is to sample hidden, previously unknown knowledge and rules that have potential value for decision-making from massive data. Cluster analysis is an important research topic in the field of data sampling. How to extract the information and knowledge that people care about, unknown, and help to analyze the decision-making process from massive data is a problem that people urgently need to solve. In this paper, after using the genetic algorithm-based method to obtain a better initial clustering center, the DPDGA algorithm divides the data set according to the obtained initial clustering center point. For each local data set obtained by division, the parameters MinPts of each local data set are calculated, and then each local data set is clustered using the DBSCAN algorithm, and finally the clustering results of each local data set are merged. Aiming at the shortcomings of the DBSCAN algorithm, this paper proposes a DBSCAN algorithm that uses particle swarm optimization to divide data and uses the MapReduce model to perform parallel calculations. The DPDPSO algorithm first uses the particle swarm optimization algorithm to obtain the optimal initial clustering center, and then partitions the data set according to the optimal initial clustering center. After partitioning, the DBSCAN’s own k-dist graph is used to determine the ε and MinPts, finally merge each partition according to certain rules, and merge data points that may be mistaken for noise points. Research shows that when the amount of data reaches about 7M, the clustering method used in this article may take up to 1 hour. If the number of iterations is less, the time it takes will be less.
Chaotic Time Series Prediction Using LSTM with CEEMDAN
Authors: Yanan Guo , Xiaoqun Cao , Bainian Liu , Kecheng Peng 
Published: August 2020

Abstract
Chaotic systems are complex dynamical systems that play a very important role in the study of the atmosphere, aerospace engineering, finance, etc. To improve the accuracy of chaotic time series prediction, this study proposes a hybrid model CEEMDAN-LSTM which combines Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and long short-term memory (LSTM). In the model, the original time series is decomposed into several intrinsic mode functions (IMFs) and a residual component. To reduce the difficulty of predicting chaotic time series and provide a high level of predictive accuracy, the LSTM prediction model is built for all each characteristic series from CEEMDAN deposition. Finally, the final prediction results are obtained by combining all the prediction sequences. To test the effectiveness of this model we proposed, we examined the CEEMDAN-LSTM model using the Lorenz-63 system. Further compared to Autoregressive Integrated Moving Average (ARIMA ), Support Vector Regression (SVR), multilayer perceptron (MLP), and the single LSTM model, the results of the experiment show that the proposed model performs better in the prediction of chaotic time series. Besides, the hybrid model proposed in this paper has better results than the LSTM model alone. Therefore, hybrid models based on deep learning methods and signal decomposition methods have great potential in the field of chaotic time series prediction.
The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone
Authors: Montesano Paul M , Neigh Christopher S R , Macander Matthew , Feng Min , Noojipady Praveen 
Published: August 2020

Abstract
Current configurations of forest structure at the cold edge of the boreal may help understand the future of ecosystem functioning in high northern latitudes. The circumpolar biome boundary at the boreal (taiga) forest and tundra interface is an ecological transition zone (taiga-tundra ecotone; TTE) experiencing changes that affect its forest structure. We accounted for the TTE’s horizontal forest structure with an estimate of its extent and pattern as represented by tree canopy cover (TCC). We quantified TCC patterns with an algorithm that describes its spatial gradient, and summarized landscape patterns of structure to represent heterogeneity, capturing abrupt, diffuse, and uniform forest at mesoscales. We used these landscape patterns to constrain the spatial extent of sparse and open canopy forest, and non-forest (forest-adjacent) edge that defines the TTE extent. The resulting map of the TTE extent is based on forest structure spatial patterns resolved at 30 m, highlights structural variability across landscapes, and helps distinguish tundra from boreal domains. We classified 14 594 landscapes as those associated with the TTE within a circumpolar bioclimatic envelope (11.575 million km2), where 44.83% of the area of these landscapes were forest and non-forest edge, yet 36.43% contributed to the TTE extent. We report the overall extent of the TTE (3.032 million km2) across North America and Greenland (53%), and Eurasia (47%), where 0.697 million km2 is non-forest edge, 0.549 million km2 is sparse forest, and 1.787 million km2 is open canopy forest. Diffuse forest landscapes dominate the TTE (79%), and abrupt landscapes (∼19%) indicate portions of the TTE where sparse forest and non-forest edge are the prevailing structural patterns. This account of the TTE quantifies the area of the cold edge of the boreal forest where previous global estimates show high discrepancies, and can help target monitoring and prediction of circumpolar dynamics.
Thermodynamic vs statistical entropy production in thermostatted Hamiltonian dynamics
Authors: Ramshaw John D 
Published: August 2020

Abstract
Sufficient conditions were recently established for the rates of thermodynamic entropy production and phase space volume contraction to be identically equal in thermostatted Hamiltonian systems in non-equilibrium steady states (Ramshaw 2017 Phys. Rev. E
96 052122). This equality has previously been interpreted as a statistical analogue of the second law of thermodynamics (SLT). However, that interpretation is unjustified because the volume contraction rate represents the production rate of the statistical entropy of the system and thermostat together, which differs in general from that of the Hamiltonian system itself. This logical lacuna is remedied by identifying two further conditions which combine with the previous conditions to imply a proper statistical analogue of the SLT. The first of these new conditions can simply be imposed a priori, whereas the second, like ergodicity and mixing, involves the asymptotic statistical properties of the dynamics as t → ∞. The latter condition seems likely to be analytically intractable in general, and therefore to require numerical investigation and confirmation in systems of practical interest.
Hydrocarbon Penetration in Multi-Porosity Soil
Authors: Rashid M F A , Alias N , Ahmad K , Sa’ari R , Ramli M Z , Shahrin M I , Ibrahim Z 
Published: August 2020

AbstractGroundwater contamination is crucial, particularly due to hydrocarbon liquid leakages. Additionally, the vibration impact affects the migration of hydrocarbon through the subsurface soil to the groundwater surface which is causes by the dynamic stress that is imposed on the soils. Therefore, this paper presents the investigation and discussions on the penetration of Light Non-Aqueous Phase Liquid (LNAPL) in vibrated unsaturated double-porosity laterite soil with 30% moisture content. The apparatus used for this experiment are a vibrating table, acrylic soil column, mirror, LNAPL and a Nikon D90 digital camera. The LNAPL migration pattern in laterite soil was monitored and recorded using a digital image processing technique (DIPT) at certain time intervals. The images were processed using Surfer software and Matlab routine to plot the LNAPL hue-saturation-intensity (HSI) values. As a result, the migration rate of LNAPL decreased with the impact of vibration towards the soil due to the rearrangement and porosity of the soil structure and this was found to affect the speed of liquid penetration.
A journey towards sustainability: a review on sustainable development implementation in Malaysia
Authors: Idham Bin Mohd Yusof Mohd , Ariffin Mariani 
Published: August 2020

Abstract
Since its inception, Malaysia is committed in developing the country. As a member of the United Nations (UN), Malaysia has always becoming the frontrunner in fulfilling the development agenda as proposed by various regional and international organizations. The government ever since has embracing the concept of sustainability through its national framework. This can be seen when this country adopting the Local Agenda 21 (LA21), Millennium Development Goals (MDGs) and now the Sustainable Development Goals (SDGs). In 2017, Malaysia is among the earliest countries to present the Voluntary National Report (VNR) in the SDGs progress. With a participatory from various parties, this was done at the Higher Level Political Forum (HLPF) in the UN. This has made Malaysia as a good example among the developing and Islamic countries. It serves as the best platform for Malaysia and the other members to share theirs’s best practice and learn from each other as a community of practice. This paper seeks to examine sustainable development implementation in Malaysia through review of literatures and content analysis. It aims to analyze the sustainability efforts by identifying the themes of the development, the attention of the government towards the sustainability, its various policies, the involvement of actors and the challenges throughout its implementation. It is not easy for the country to make its people aware on the meaning of sustainability. It requires political commitment and integrated actions by its key players as the driving forces. Sustainable development will always be the focus for Malaysia as this global effort will make this country a better place for the future generation.
Variations in physico-chemical parameters and Chl-a concentration in Setiu Wetlands lagoon during the northeast and inter-monsoon seasons 2018
Authors: Suhaila Ismail Shaharul , Hafiza Ramli Nur , Mat Semawi Nurhayati , Azrinkhuzaini Abdul Kadir Mohd , Nazila Ali Ahmad 
Published: August 2020

Abstract
This study presents the seasonal changes of physico-chemical parameters and chlorophyll-a (Chl-a) concentration in Setiu Wetlands lagoon during the NEM (February 2018) and inter-monsoon (April 2018) seasons. The Chl-a and physico-chemical parameters of water temperature, dissolved oxygen (DO), pH and salinity were investigated for both surface and bottom waters at 3 sampling sites that are located in the upstream and downstream of the lagoon. The was a strong seasonal signal and spatial gradient in physico-chemical parameters within the Setiu lagoon. In February, when the strong northeast monsoon (NEM) prevailed, the surface and bottom waters of the lagoon were dominated by high pH and low water temperature, DO and salinity. As the weaker inter-monsoon dominated in April, the study area was characterized by low pH and high water temperature, DO and salinity. While the seasonal variation in physico-chemical properties of Setiu lagoon is well described, Chl-a concentrations varied between seasons and sampling locations. Chl-a showed an increased or only a slight change in the downstream stations but recorded a significant decreased in concentrations in the upstream station from the NEM to inter-monsoon season. Analysis of seasonal relationships clearly indicated the interchangeable negative and positive correlations of Chl, DO and salinity. These results suggest the influence of other environmental factors of the lagoon (e.g., nutrient enrichment, tidal and freshwater influx) that vary with seasons which require more detailed investigation.
A Proposed Model of Fishpond Water Quality Measurement and Monitoring System based on Internet of Things (IoT)
Authors: Ismail Rosli , Shafinah Kamarudin , Latif Kamil 
Published: August 2020

Abstract
Aquaculture in Malaysia is now being promoted as an important engine of growth and eventually becoming the pillar of the economy of the nation. However, healthy fish production requires intensive care, and to ensure a stable and healthy production environment inside the fishpond is a challenging task. While cultivating aquatic organisms, water quality is a critical factor. It depends mainly on various parameters such as dissolved oxygen, ammonia, pH, temperature, salt, nitrates, carbonates, etc. In most places, this testing is performed by fishpond farmers manually or by researchers through laboratory testing where there is no real-time monitoring. Today, with the advancement of the Internet of Things (IoT) and sensors, the technology is reaching the ground level with its application uses in agriculture and aquaculture. It is highly desirable to have an IoT - based automated system that can continuously measure and monitor fishpond with optimum utilization of resources. This paper proposes a model for real time measurement and monitoring system based on IoT technology for measuring and monitoring the water parameters in fishpond. We used a qualitative method to investigate perceptions, experiences, and ideas of fishpond farmers in order to propose the model. With the help of the proposed model, the quality of water can be continuously measured and monitored to ensure the growth and survival of fish in pond. As a result, preventive action can be taken in a timely manner to minimize losses and increase productivity.
A study to expose quail eggs for two different periods of incubation with low-intensity magnetic flooding on the growth of chicks and their productive performance
Authors: Khaleel Ibrahim Firas , Seddiq Mohmood Bakar , Mohamad Shukri Malik 
Published: August 2020

Abstract
An experiment was conducted in the fields of the poultry unit - Livestock Division - Nineveh Research Department, to find out the effect of using low-intensity magnetic flux (110 Gaos) in two periods of incubate quail eggs, on the growth and production performance of the resulting birds, the results showed a significant increase (P ≤0.05) for the magnetic flux treatment on control treatment for hatchability% and fertility%, the percentage of dead embryos decreased significantly (P ≤0.05) for the second exposure period treatment than the control treatment, the two magnetic exposure treatments were significantly superior (P ≤ 0.05) to control treatments in the body weight at one and four weeks age (g), weight gain (g) and food conversion ratio (g/g). The magnetic exposure treatment also achieved a significant decrease (P ≤0.05) for the number of days to reach sexual maturity (or the days to obtain 5% egg production) and for food consumed / kg. The two magnetic treatments were also significantly superior in food conversion ratio (kg feed / kg egg) for the eight-week period of egg production.
First report of the parasitoid wasp Platygaster oebalus (Hymenoptera: Platygastridae) from Iraq
Authors: Kareem Ali A. , Lahuf Adnan A. , Aljaafari Raad K. , Buhl Peter N. 
Published: August 2020

Abstract
The parasitoid wasp Platygaster oebalus was collected from Karbala city in April 2019 and recorded for the first time from Iraq.
Effect of melatonin in adult quail males exposed to oxidative stress induced by H2O2
Authors: Taha Ahmed T. , Al-Jumaily Tareq KH , Al-Samrai Muna K. 
Published: August 2020

Abstract
In the dark, the pineal gland secreted melatonin hormone after produced from tryptophan that is Responsible for organizing many vital functions such as Wake up and sleep, circadian rhythm, Immune response and reproduction. As well as that Melatonin act as antioxidant and inflammatory.
Thirty-six of 45 days-old Japanese quail male randomly divided to four treatments nine replicates per each. The control treatment consisted of the basal diet and normal water, 2nd treatment of (1%) hydrogen peroxide in drinking water.3rd and 4th treatment the ratio supplemented with (20 mg melatonin / kg diet) with or without(1%) hydrogen peroxide in drinking water. At 28 days, hematological parameters, antioxidant measurement determined and testes histological assessment.
From the results noted a significant reduction in the total counting of red blood cells (RBC) and the relative weight of the testicles with a deterioration in antioxidants status, represented by a significant increase in MDA level and a significant decrease in GSH level of with H2O2 treatment . The supplemented of melatonin led to a decrease in the total number of WBC, PCV, and the concentration of Hb. Moreover, the treatment with the use of melatonin led to an improvement in antioxidants indicators represented by an increase in the level of GSH and a decrease MDA level. As the fourth treatment did not record significant differences compared to the first treatment. Adding melatonin at 20 mg melatonin / kg diet lead to significant improvement in area of germinal layer and its thickness.