bluuebunny/crossref_metadata_2025 huggingface dataset:
Seasonal Variation Characteristics Of Winds At The West Coast Of Ireland
Authors: Ren Lei , Yao Peng , Hu Zhan , Hartnett Michael
Published: September 2018

Coastal areas have a large content of renewable energies such as wind energy, tidal energy and wave energy. With continuous development of wind power generation, wind energy research at home and abroad is increasing. In this research, wind data over one year were obtained from ECMWF. In order to study wind variation characteristics, wind dataset was divided into four seasonal categories. Analysis of seasonal variation characteristics of winds at the west coast of Ireland provides useful information for wind energy development and wind energy assessment.
High Resolution Sequence Stratigraphy Correlation and Sedimentary Model of Braided Rivers: A Case on Paleogene Palogue Oilfield, South Sudan
Authors: Ning Zhao , Xia Gao , Zhongmin Chen , Jiangqin Huang , Guangya Zhang
Published: September 2018

Complicated fluvial sands correlation and braided river models are still challenges for heterogeneous anisotropic reservoir evaluation for petroleum development in oilfields. Based on high-resolution sequence stratigraphy and sedimentology, core observation, and the analysis of logging and seismic data, high-resolution sequence stratigraphy framework of Paleogene Yabus formation of Palogue Oilfield, South Sudan is established, and sedimentary characteristics of braided rivers are analyzed, (1) In braided river deposits, channel bars are usually pro-gradating seawards and going thicker upwards. And braided channels are retro-gradating landwards and going thinner upwards. Both of them can be subdivided into channel (bar) trunks and channels (bar) flanks, showing vertical stacking and lateral migration; (3) As the A/S (Accommodation space/sediments supply) increasing upwards, braided river sands are shifting frequently as a reciprocating migration in Yabus V/VI, and they are more stable as the A/S decreasing upwards as a vertical aggradation in Yabus VII/VIII; (4) With 77 wells sedimentary microfacies identification, sand thickness and sand/bed ratio distribution, sedimentary facies distribution of all members and zones are analyzed. According to the A/S change, three braided river models are concluded, including isolated channel type (high A/S period), crossed channels type (medium A/S period), and superposed channels type (low A/S period).
Analysis on the Runoff and Sediment Yielding of “7.26” Rainstorm in 2017 in the Dali River Basin
Authors: Gao WenYong , Jin ShuangYan , Guo ShaoMeng
Published: September 2018

Hydrological regimes of the “7.26” rainstorm and flood in 2017 in the Dali River basin are illustrated, the runoff and sediment of the flood is calculated. The relationship between peak discharge, runoff and sediment of history floods and the corresponding mean rainfall and combined rainfall factor are established respectively. It is found that the point of “7.26” flood locates at the upper left or in the middle of the history points group. The results show that after the implementation of water and soil conservation and ecological restoration policy for several decades, the underlying surface of the Dali River basin has changed to some degree, but encountered with the high intensity rainfall such as "7.26", it will still generate the flood of high sediment concentration.
Study on Comprehensive Risk Assessment of Marine Environment Safety Based on Public Safety Triangle Theory
Authors: Sun Xueping , Chen Tao , Huang Quanyi , Yang Xiuzhong , Lv Ying
Published: September 2018

With the continuous improvement of marine strategic status, the degree of emphasis on marine environmental security incidents has increased. In order to effectively prevent and manage marine environmental events, we need to work through risk assessments to prevent the occurrence of events or reduce the impact of events. Based on the theory of public safety triangle, this paper studies and analyzes the comprehensive risk assessment of marine environmental safety. Based on the historical disaster situation investigation and the existing disaster risk assessment research results, a comprehensive risk assessment framework was established. According to the development process of the marine environmental safety incident and the influence of the incident, the comprehensive risk evaluation index system is constructed from three aspects: event risk, disaster tolerance and emergency management. According to the expert experience and judgment matrix, considering the acceptable level of risk, the risk assessment grading standard is established, which provides theoretical support for the comprehensive risk assessment of marine environmental safety.
Scale Effect and Similarity Analysing of the Extracted River Networks Features Based on DEMs with Different Spatial Resolutions
Authors: Zhao Yinjun , Xie Qiongying , Lu Yuan , Lee Zhi
Published: September 2018

River networks are basic parameters in river studies and river management. Due to scale effect, most river networks are lack of certainty. We selected three leafy rivers from different climatic zone with an approximately proportional relation in basin area (1: 4.1: 19.9) to dig the scale effect and possible similarity. The result shows that the resolutions of DEM and drainage area threshold are two key parameters to extract river network features from DEM. The river lengths and densities of all extracted optimal river networks under the 6km2threshold values decrease with the spatial resolution. Based on 15 optimal river networks, the length ratio is similar to the area ratio, the density ratio is same (1: 1: 1), and the stream frequency ratio is near to 1: 1: 1. Bifurcation ratio values of all basins are closer to the average (4.75). These characteristics may imply that there is the similarity among rivers.
Study on the Driving Mechanism of Ecosystem Service Value on Ximen Island Based on STIRPAT Model
Authors: Wang D G , Han F J , Shen G , Tan Y H , Lv D A
Published: September 2018

The ecosystem service value on Ximen Island was calculated using the value table of ecosystem services proposed by Xie et al. according to the land use data from 2006–2017. The STIRPAT model was used to analyze the driving mechanisms of ecosystem services on Ximen Island. The results show that the ecosystem service value of Ximen Island has gradually decreased from 2006 to 2017, and the value of ecosystem services has decreased by 15.842 million Yuan over 10 years. Applying the principal component analysis method can effectively eliminate the collinearity problem in the process of regression analysis. The value of ecosystem services has a high correlation with socio-economic variables. The total population, GDP per capita, the increased rate of forestry output, the proportion of primary industry, and the Engel coefficient are all important driving factors that affect the change of valuable ecosystem services on Ximen Island. Among them, the proportion of primary industry is positive, and the other 4 indicators are negative. The rate of increase in forestry output has the greatest negative impact. A 1% increase in the total population, in the GDP per capita, in the rate of forestry output, in the proportion of primary industry, and in the Engel coefficient results in ecosystem service values varying by 0.199%, 0.165%, 0.289%, -0.144%, and 0.252%, respectively.
A Intelligent Logistics Inventory Distribution Model Based On Pipeline Network And Ant Colony Algorithm
Authors: Li Jingwen , Tang Yifei , Jiang Jianwu
Published: September 2018

With the popularization and application of emerging Internet technologies such as big data and cloud computing, the traditional B2B and B2C warehousing logistics management modes have not achieved synergy between various distribution stations and suppliers, achieving “one-to-one” means a distribution station is supplied by a manufacturer, and a customer is also supplied by a distribution station. The traditional logistics industry model can no longer meet the individual needs of customers. At present, the logistics industry has a series of problems such as slow delivery, slow turnover, high cost and poor service. Based on the theoretical basis of pipeline network and smart logistics, this paper proposes a pipeline network model of intelligent logistics, and improves the ant colony algorithm to improve transportation efficiency, which provides a guarantee for the efficient operation of the intelligent logistics platform.
Fire-resistant Characteristics of Traditional Buildings in Urban Historic Districts
Authors: Shao Pei-Chun , Shao Chun-Hao
Published: September 2018

The fire-resistant quality of brick walls of the buildings in historic districts was investigated in this study. A review of the available literature, data application by simulation of fire dynamics, and experiments involving three types of brick walls with reference to the ISO834 temperature–time curve were utilized to ascertain the possibility of a fire spreading through the brick walls of historic buildings having vulnerable construction. The results demonstrated that smoke and combustion due to the heat penetrated through the clefts on the damaged exposed side of the brick walls or due to the inefficacy and cracks in the fireproofing material used. To prevent the decline of antique historic or old buildings, it is necessary to consider the reinforcement of the fire-resistant characteristics of their walls. Besides, concerted efforts need to be put in to educate the residents regarding fire safety along with a comprehensive fire safety management planning strategy for historic districts.
Information Extraction and Dynamic Monitoring of Autumn Grain Crops in Heishan Area Based on Landsat8 Remote Sensing Image
Authors: Hua Ding , Ruren Li , Yumei Liu
Published: September 2018

Based on not only the basic data of total 9-phase Landsat8 OLI remote sensing images from 2013 to 2016 in Heishan District, Jinzhou City, Liaoning Province, also the supplementary data of highresolution remote sensing images and elevation data in Heishan District, as well as phenology data in Northeast of China, the remote sensing images of the studied areas were classified by various methods and the classification results were evaluated accurately. The results show that the method of object-oriented classification obtains the best effect and highest precision on the information extraction of autumn grain crops. Its overall spatial distribution accuracy is about 95.2091%, and the Kappa coefficient is 0.9360. The method of object-oriented classification was applied to the dynamic monitoring of autumn crops in the researched areas in recent years, and then the analysis of the main autumn crops in there from 2013 to 2016 showed that the rice areas increased significantly in the past four years, while the corn areas have shrunk by nearly one-fifth.
Spatial-temporal Pattern of Regional Economic Disparities in GuiYang
Authors: Fu Yin , Shui Wei
Published: September 2018

Based on the construction of indicator system for evaluating Comprehensive index of economic development, the synthetic economic development levels are evaluated from 2000 to 2015 in GuiYang. GIS Spatial analysis has studied the disparities in economic development in GuiYang. By calculating the spatial autocorrelation Moran's I index of GuiYang Comprehensive Development Index, it reveals that it's economic development has significant spatial autocorrelation, and the regional economic development has obvious dual structure; finally, through analyzing the local indicator of spatial association (LASA) each year. this paper reveals the temporal and spatial variation characteristics of economic development in GuiYang.
Impact of Climate Change on Major Marine Industries
Authors: Kong Hao , Yang Wei , Zhang Ping , Peng Ricai
Published: September 2018

Marine economic activities are mainly distributed in areas with extremely fragile ecological environment, rising sea level, rising sea surface temperature, ocean acidification and extreme weather events, etc. These activities have major impacts on the environment and ecosystems of fragile marine and coastal areas, posing a major threat to sustainable development of marine economy. This paper reviews recent researches on the impact of climate change on various marine industries. The results show that climate change has remarkable impacts on marine economy, and some marine industries are especially sensitive. There are both negative and positive consequences of climate change, but no doubt, the negative effects dominate. The government should take pertinent measures to mitigate the adverse effects of climate change.
Examination on risk prevention measures for environment and safety of food plants in Japan
Authors: Liu Ze , Tanaka Takehiro
Published: September 2018

Risk prevention measures to secure both pleasant environment and safety are indispensable particularly to food plants. In this study, current situations and causes of troubles, affairs and accidents which have taken place in Japanese food plants are reviewed. In addition, the introduction of human-based strategies integrated with IT/IoT technologies as well as sampling methods for airborne microbes which have been being highlighted these days is proposed as measures to protect environment and safety of food plants.
Research on the credit risk of small and micro enterprises under “The Belt and Road Initiative”
Authors: Liu Zhanyu , Sun Xialing
Published: September 2018

Under the “The Belt and Road Initiative”, small and micro enterprises have new opportunities and new challenges. At present, the biggest problem facing the development of small and micro enterprises is the financing problem, and it is imminent to solve the financing problem. Based on the actual situation of small and micro enterprises, this paper designs a credit risk evaluation index system for small and micro enterprises through literature analysis and questionnaire, makes an empirical analysis on the H e-commerce enterprises in Henan province. On this basis, the credit risk control strategy of small and micro enterprises is put forward at the end of the article.
Game analysis of stakeholders’ actions affecting the development of green buildings
Authors: Zhao Shuyuan , Huang Yihui
Published: September 2018

As the government pays more attention to the ecological environment, the momentum of green buildings in China has developed rapidly in recent years. However, the continuous and good development of green buildings is also related to the attitude of developers and consumers. This paper analyzes the game from the perspectives of the government, developers and consumers, and provides feasible suggestions for the development of green buildings in China.
Research on Pre-control of Typhoon Disaster in Construction Site under Extreme Typhoon Climate-- Take typhoon Moranti as an example
Authors: Deng Jianxun , Chen Jing
Published: September 2018

This article focuses on the damage to the construction project caused by the strong typhoon “Moranti” No. 14 of 2016 to the coastal city of Xiamen, and further analyzes the characteristics of the extreme typhoon climate, like strong destruction,extensive damage and obvious characteristics of the centralization, and the causes of the damage to the construction project. Leading to the conclusion that the risk items in the construction site mainly include personnel, scaffolds, and mechanical and electrical equipment, etc. Combined with the impact factors of duration, structure scale, economic exposure, and corporate management level, establishing the criteria for judging the extreme typhoon climate risk pre-control level and calculating the comprehensive level according to the level of each element and the weight distribution, and then, put forward pre-control measures and recommendations accordingly for government decision-making and construction companies' reference.
Study on SO3 Cooperative Removal Effect of Ultra-low Emission Technology in Coal-fired Power Plants
Authors: Yang Ding , Luo Yi , Ye XingLian , Chen WeiXiang , Guo Jun , Zou ZongShu , Lu FengHua
Published: September 2018

SO3 is one of the main precursors of atmospheric PM2.5, and its emission has attracted more and more attention in the industry. This paper briefly analyzes the harm of SO3 and the method of controlled condensation to test SO3. The effect of cooperative removal of SO3 by ultra-low emission technology in some coal-fired power plants has been tested by using the method of controlled condensation. The results show that the cooperative removal of SO3 by ultra-low emission technology in coal-fired power plants is effective. The removal rate of SO3 by low-low temperature electrostatic precipitators and electrostatic-fabric integrated precipitators can be exceeded 80%, while the removal rate of SO3 by wet flue gas desulfurization equipment displays lower than the above two facilities, and the wet electrostatic precipitator shows a better removal effect on SO3. With the use of ultra-low emission technology in coal-fired power plants, the SO3 emission concentration of the tail chimney reaches less than 1 mg / Nm3.
Prediction Of Water Quality Of Bicarbonate Mineral Water In WUDALIANCHI Based on BP Neural Network Model
Authors: Ying ZENG , Chen YANG , Xiying WANG , Zhenxing FANG , Jing WU
Published: September 2018

In order to grasp the water quality change trend and predict the future water quality characteristics of the bicarbonate mineral water in WUDALIANCHI, using the measured data from 2008 to 2016 of north drink spring in WUDALIANCHI as the predicted sample, carbon dioxide, total soluble solids, strontium and metasilicic acid which can divide mineral water type as analysis factor, the BP neural network combination forecast model was contructed. The results showed that the BP neural network combination forecast model was obviously more precise and better than grey system model, its average relative error was controlled within 5%. The results indicated that the BP neural network combination forecast model can effectively predict the change trend of water quality of bicarbonate mineral water in WUDALIANCHI.
Carbon storage and its changes in Chinese terrestrial ecosystem in recent decades
Authors: Wang Lixia , Zou Changxin , Wang Yan , Lin Naifeng
Published: September 2018

This paper made a comprehensive assessment on carbon storage in terrestrial ecosystem in China by reviewing published literatures. Much more detailed carbon storages in vegetation, soil and ecosystem were summarized for forest, grassland, shrub, cropland and wetland in recent decades. It was discovered that total terrestrial carbon storage in China was 67.9 ~191.8 Pg C in recent decades, 6.1 ~ 57.57 Pg C was stored in vegetation, and 161.7 ~ 185.7 Pg C was stored in topsoil at a depth of 100 cm. Vegetation carbon storage has increased obviously in recent years; soil carbon storage declined in some areas owing to intensive land use, while it increased in other areas because of fertilizer application and reforestation. Total terrestrial carbon storage over China has increased in recent decades, and it is expected to continue to increase.
Research on Sludge Treatment and Utilization of Waterworks
Authors: LIN Feng , ZHANG Shoubin , MA Guoqiang , QIU Liping , SUN Huajun
Published: September 2018

With the rapid development of society and the sustainable growth of population, people's demand for water has been increasing continually. In consequence, more and more sludge was generated from purification process in waterworks. Treating and utilizing the sludge efficiently and safely has becoming more and more important. In this paper, the composition and treatment process of sludge from municipal waterworks was introduced firstly.And then the comprehensive utilization of sludge and the problems among the utilization was focused on. New methods for sludge treatment and utilization as resources were explored at last.
Assessment of Heavy Metals and Metalloids Contamination in the Surface Sediments of the Xiangjiang River, Hunan, China
Authors: Zhong Yu , Fu Guangyi , Xiang Renjun , Yao Fubing , Xu Youze , Cheng Yingxiang , Liu Zhan , Wen Tao , Zeng Guanming
Published: September 2018

In this study, the Qingshuitang District from the Shifeng Bridge to the Majiahe Bridge was selected as study areas to assess the contamination status and release amount of heavy metals from the surface sediments of the Xiangjiang River, Hunan Province, China. A sum of five surface sediment samples were collected, and the total contents of Cu,Pb,Zn,Cd,Cr,Mn,As and Hg in these samples were measured by the Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Atom Absorption Spectrophotometer (AAS). Results showed that the average contents of Cd and As in the sediments were higher than the Grade III of the China Environmental Quality Standard for Soils. Moreover, release experiments were carried out to study the effect of flow velocity and pH values on the release of heavy metals from the sediments. The results suggested that increased the flow velocity and decreased the pH of overlying water could promote the release of heavy metals, while the release amount of four heavy metals were too small and the largest release amount of Mn was only 7.50 μg/(g·d). It suggested that the release of heavy metals from the sediments into the overlying water is a slow and long-term process.
Research on City Center Area System Identification and Environmental Renewal Strategy under the Background of Smart Cities
Authors: Wang Bing , Dai Cai
Published: September 2018

In this paper, combining the development of the times and the construction of smart cities, the various identification elements of the city center area system were collated and extracted while combing the morphological characteristics of the central area of the city. Moreover, after combining these identification elements, the problems to be solved in the construction environment of the modern urban center area were analyzed. Through the analysis of the content of smart city construction and integration with the organic renewal of the urban center area, a strategic discussion has been proposed, aiming at maximizing the rejuvenation of the environmental vitality of the urban center area while adapting to modern urban environmental management.
Critical density for the stability of a 2D magnet array
Authors: Reiss Corentin , Bastit F. , Sulem D. , Bacot A. , Cousin L. , Goux P. , Guillet T.
Published: September 2018

Confining a given number of magnets with vertically aligned moments on a non-magnetic surface creates a 2D magnet array, self-organized by repulsive forces in a hexagonal crystal-like network. Increasing areal density leads to a dramatic collapse of the structure where magnets finally stick together. We study the origin of this collapse and its critical density both experimentally, by either increasing the number of magnets or reducing the area, and theoretically, by using a dipole model. We suggest the collapse occurs when magnetic forces or torques created by irregularities overcome gravity. Transition from torque-driven to force-induced mechanism is observed when the critical density increases.
A new perspective on new materials
Authors: Jobst Johannes , van der Molen Sense Jan
Published: September 2018

We live in an age of nanomaterials in which new materials are discovered almost every day. Moreover, we are starting to engineer material properties at the nanoscale. Hence, we need new tools to investigate different materials routinely and on small length scales.
ABM-GIS simulation for urban freight distribution of perishable food
Authors: El Raoui Hanane , Oudani Mustapha , Alaoui Ahmed El Hilali
Published: September 2018

Freight transport is essential to modern urban civilization. No urban area could exist without a powerful freight transport system. However, the distribution of perishable foods in urban areas is seen as a source of problems, due to traffic congestion, time pressures, and environmental impact. In this paper, an Agent-Based Model integrated with Geographic Information Systems (ABM-GIS) is designed for a time-dependent vehicle routing problem with time windows. This simulation model consists of determining the quickest routes to transport fresh products, estimating Vehicle kilometer traveled VKT and vehicle hour traveled VHT where speeds and travel times depend on the time of the day. Based on a case study, analyses of changes on traffic condition were conducted to get an insight into the impact of these changes on cost, service quality represented by the respect of time windows, and carbon emissions. The results reveal that traffic jams and restrictive time windows lead to additional cost, cause delays, and increase co2 emission. As for a short-term planning, time-dependent scheduling algorithm was proposed and assessed while extending time windows. Results have proved the potential saving in cost, travel time, and carbon emission.
A multi-objective approach for the clustering problem in wireless ad hoc networks
Authors: Amine Khalil
Published: September 2018

Ad hoc networks are infrastructure-less computer networks consisting of heterogeneous mobile devices connected by wireless links. The devices are essentially faced to several limitations in terms of embedded energy, processing power, bandwidth, and internal memory. Clustering has been introduced in ad hoc networking to provide hierarchy and stability and to support information circulation reduction, energy management, and scalability. It consists of a process of self-aggregation of nodes into a set of sub-networks called clusters where each cluster would be managed by a master node called cluster centre responsible for gathering, maintaining and updating the cluster topology information as well as ensuring the data routing over the network. The set of cluster centres institutes a temporary network core that enhances the topology maintenance. From a graph perspective, this set represents a dominating set, that is a set of nodes such that each node of the network is either an element or adjacent to at least one element of this set. This paper develops a constrained bi-objective optimisation model for finding a dominating set that provides a trade-off between maximising the energy amount and minimising the cardinality. A bi-objective simulated annealing meta-heuristic for constructing near-optimal solutions is then presented.
Optimization models for train load and transport planning problems
Authors: Dahite Lamiaa , Kadrani Abdeslam , Benmansour Rachid
Published: September 2018

Optimization of rail transport is complex because of the industry’s multiple constraints. The transport of containers is very particular since it is characterized in addition to its specificities as a product to be loaded and transported by a strong instability of the demand. So far research in this area has dealt only with the separate treatment of the train load and transport problem. The present study focuses on optimizing resources facing unstable demand for the combined problem. Mathematical models are proposed to assign customers demands to wagons and for railcars allowance per axis depending on the available park, the locomotive capacity and the train length. An algorithm for the train load problem is also suggested. The models have been tested to measure their efficiency by comparing them to an existing train planning model and to manual assignment adopted in the rail industry. Some test results are finally reported to show how a novel formulation can simplify the resolution of a complex problem.
Optimization of the maintenance planning of a multi-component system
Authors: Mallouk Issam , Abou El Majd Badr , Sallez Yves
Published: September 2018

The vehicle’s maintenance costs, uptime and security are the most important goals for owners and transport companies, but these goals are conflictual and the major cause for delays is related to the maintenance policies. The main objective of transporters is to respond properly to their customer’s demands. In order to deal with this competitiveness, transport companies are working to improve the management of their fleets by focusing in particular on vehicle maintenance, which impact the vehicles uptime, and generate the most important cost. In addition, a vehicle maintenance policy aims to avoid failures and keep the vehicle up and safe. This objective is reached by ensuring a high reliability; otherwise, an unexpected failure of a component can cause vehicle down and can affect the entire sub-system while generating costs. In this paper, we propose a new maintenance policy based on multi-objective optimization. This problem is solved using the Speed-Constrained Multiobjective Particle Swarm Optimization (SMPSO) for an instance of 18 components and 20 vehicles. First, we give an overview of the existing techniques used for vehicle’s maintenance policy, then we present the mathematical model that describes the cost of maintenance and the level of safety. Numerical experiments are presented to demonstrate the efficiency of our approach.
Supply Chain Performance Measurement: A Case Study about Applicability of SCOR®Model in Automotive Industry Firm
Authors: Lemghari Radouane , Okar Chafik , Sarsri Driss
Published: September 2018

The evaluation of a supply chain is a major priority of companies; it is a task that remains difficult due to the complexity of these systems [1]. This evaluation involves a selection of performance measurement indicators, which are appropriate to the management of this chain. It is then necessary to have a structured approach and adequate methodological tools [2]. Indeed, we propose in this paper a practical method that will model in the first place a Moroccan automotive supply chain, according to the SCOR®model (Supply Chain Operations Reference), proposed by the Supply Chain Council. This method will also identify at each level the appropriate indicators for the performance evaluation depending on the strategic vision. In this context our research problem is made, it is interested in the contribution of the business modelling to improve logistics performance. To the best knowledge of the authors, this is the first work that proposes a case study believed to be easy to understand, practical and suitable for the automotive sector. In short, this study is a real application leap to resolve the problematic unanswered of practical SCOR®model using an industrial application in the Moroccan automotive sector.
Is Supply Chain a complex system?
Authors: Raaidi Safaa , Bouhaddou Imane , Benghabrit Asmaa
Published: September 2018

Nowadays, industries are continually looking to implement new subsidiaries in different continents, in order to better fulfill their customers’ needs, generate the best products in the shortest time and cheaper than their competitors. Achieving these goals is no longer related to the company itself, but to all partners in the supply chain. This justifies the need for efficient and judicious management of the whole supply chain, through the collective intervention of all its actors. Needless to say, a supply chain is a system made up of a set of suppliers, producers, subcontractors, retailers, wholesalers and customers, between whom material, information and financial flows are exchanged. Management of these flows is becoming increasingly difficult and constitutes the main source of the supply chain complexity. In order to alleviate this problem and improve supply chain performance, it is necessary to model it, taking into consideration its characteristics, which make it a complex system. Hence, the scoop of this paper is to prove that supply chain is a complex system, by highlighting its most relevant characteristics that make it such a system. Complex means what is braided together or woven together. If we separate the elements, we get acquaintance elements, but we lose their interactions. Within this trend, our contribution subscribes with its ultimate purpose modelling supply chain as complex system.
Supply Chain Management based on Blockchain: A Systematic Mapping Study
Authors: Tribis Youness , El Bouchti Abdelali , Bouayad Houssine
Published: September 2018

Groundbreakingly, blockchain technology (BCT) has gained widespread acceptance and importance in the last few years. Implemented in different areas of applications such as social and legal industries, finance, smart property, and supply chain networks. This technology assures immutability and integrity of data without the need of a third trusted party. Furthermore, BCT could guarantee a transparent and decentralized transaction system in businesses and industries. Even though general research has been done in the BCT, however, there is a lack of systematic analysis on current research challenges regarding how BCT is effectively applicable in supply chain management (SCM). A systematic literature review (SLR) of SCM based on blockchain does not exist yet. This work aims to explore and analyse the state-ofthe-art on the BCT applications for SCM. We synthesize existing evidence, and identify gaps, available in the literature. The survey uses a systematic mapping study (SMS) method to examine 40 extracted primary studies from scientific databases.
Measuring urban public transport performance on route level: A literature review
Authors: Karim Zehmed , Fouad Jawab
Published: September 2018

In this paper, we conducted a systematic literature review of empirical studies that focus on measuring urban public transport performance on route level using frontier methods. 22 papers were identified and included for full text review and were classified according to paper category, year of publication, country context, performance dimensions discussed, methodological approach used, sample size, data type and inputs, outputs and other variables used in each study.
Upgrade of a Yaw System and its Operation Strategy to a 2 MW Wind Turbine
Authors: Liu Jui-Hung , Chen Jien-Chen
Published: September 2018

The yawing system in a wind turbine keeps the nacelle facing the incoming wind direction to obtain a better efficiency while it also induces the vibration and fatigue load to the structure. In this paper, the yawing system was discussed and an upgrade plan been provided to a real 2 MW wind turbine. The result has shown the significant improvement on the load output after the update.
An Innovated 80V-100V High-Side Side-Isolated N-LDMOS Device
Authors: Yangi Shao Ming , Sheu Gene , Chien Ting Yao , Wu Chieh Chih , Lee Tzu Chieh , Wu Ching Yuan , Lai Chiu Chung
Published: September 2018

We used TCAD Synopsys 3D tools and device simulators to propose an innovative device structure of 80V-100V high-side NLDMOS by using the silicon to silicon-di-oxide ratio with side trench. The high-side can also be developed by placing an NBL structure which can deliver a high as over 200V isolation voltage. The 3D structure can clear see the optimized linear p-top and n-drift region have better charge balance with linear doping profile to get the benchmark breakdown voltage (BVdss) of 80V with on-resistance (Ron) as low as 130 mΩ-mm2 and 100V with on-resistance as low as 175 mΩ-mm2.The linear p-type buried layer using high dosage and lower energy to achieve the better SOA and higher isolation voltage. Optimized linear p-top and PBL can improve Ron by 32.5% compare to other 100V high side device which have done from reference.
Building a Japanese MIDI-to-Singing song synthesis using an English male voice
Authors: Shen Hung-Che
Published: September 2018

This work reports development of a MIDI-to-Singing song synthesis that will produce audio files from MIDI data and arbitrary Romaji lyrics in Japanese. The MIDI-to-Singing system relies on the Flinger (Festival singer) for singing voice synthesis. Originally, this MIDI-to-Singing system was developed by English. Based on some Japanese pronunciation rules, a Japanese MIDI-to-Sing synthesis system was developed and derived. For a language transfer like Festival synthesized singing, two major tasks are the modifications of a phoneset and a lexicon. Originally, MIDI-to-Sing song synthesis can create singing voices in many languages, but there is no existing Japanese festival diphone voice available right now. We therefore used a voice transformation model in festival to develop Japanese MIDI-to-Singing synthesis. An evaluation of a song listening experiment was conducted and the result of this voice conversion showed that the synthesized singing voice successfully migrate from English to Japanese with high voice quality.
Design and development of a novel acoustic rain sensor with automated telemetry
Authors: Guico Maria Leonora , Abrajano Gemalyn , Domer Prince Aldrin , Talusan Jose Paulo
Published: September 2018

This paper presents the recent results of the design of a novel acoustic rainfall sensing system that is low-cost, portable, and easily deployable, which makes use of the recorded sound produced by the impact of the raindrops on the sensor surface. The sensor design allows the gathering of acoustic signal power and sending it to a server after a specified time interval, either through SMS or mobile internet connection. It exists in a weather-proof, standard-conformant, standalone system with its own power supply and telemetric capabilities. These acoustic point sensors can gather rainfall data at high spatial and temporal resolutions. Such deployments can show the variations of rainfall intensities in sub-kilometer areas, particularly in the tropical regions. Since it is low-cost, it can also improve the density of rainfall measuring devices in an area. Moreover, the reliability is improved by providing near-real time data, as opposed to tipping buckets with manual data retrieval. The prototype sensor system was placed next to standard rain measuring devices and observed during the rainy season. The paper will discuss the design and deployment of the system, as well as initial results of data analysis and comparison with standard rain measuring devices.
Positivity creation and its effect on idea patentability: a case of a new faucet invention
Authors: Wu Chi-Hua , Luh Ding-Bang
Published: September 2018

Among criteria of patentability, concern of novelty is taking priority in comparing to non-obviousness and industrial applicability. However, novelty is difficult to be demonstrated before conducting a thorough research of the prior art after a proposal is been designed, which is time-consuming. Under such circumstance, 1) Positive creativity is applied in this research to enhance idea patentability by positively building it during a design process. 2) Start with elaborating idea of positive creativity, its conceptual tool is applied in this research to design a new faucet, and do actual patent application. 3) The result of patents obtained in several countries, including invention (Taiwan) and design patents (Taiwan, U.S., China), indicates that positive creativity is capable of producing patentable ideas. 4) Faucet manufacturing is a traditional industry within which theoretically more difficult to get invention patents. This further indicates that positive creativity (through positivity creation) should have similar effect in providing patentable ideas in highly-innovative industries.
A Nnumerical Study of Drag force for Optimist Dinghy on Flat Water
Authors: Lin Chien-Nan , Chou Jong-Ming
Published: September 2018

This study investigates numerically the drag force on the Optimal dinghy, which is one of the official classes of international sailing regatta. The drag force is affected by the forward and backward tilt angles and the heels angles. The results revealed that the minimum drag force on the dinghy occurred under the flat dinghy and zero tilt angle condition. The drag force decreases with increasing backward tilt angle. Meanwhile the minimum drag force occurred at the 10 degree of the heeling angle under low velocity condition, and it occurred at the 5 degree while the sailing velocity exceeded 2 m/s. The correlation of the drag force and the sailing velocity can be expressed as FD = 13.87V2 for flat dinghy sailing.
Effects of regular exercise on functional fitness of community elderly
Authors: Lee Tsui-Er
Published: September 2018

This study aims to discuss the effect and the retention effect of regular exercise on functional fitness of community elderly. Total 65 community elderly aged above 65 (77.03±6.41 years old) who voluntarily participate in this study are selected as the research subjects. Functional fitness pretest is practiced before the regular exercise intervention, the posttest is preceded in the 12th week, and the retention test is preceded in the 24th week. The results show that the functional fitness test, after the 12-week regular exercise intervention, reveals that males make significant progress in upper/lower limb strength, cardiorespiratory endurance, static balance, upper limb flexibility, agility and dynamic balance and females appear remarkable progress in upper limb strength, cardiorespiratory endurance, static balance, upper limb flexibility, agility and dynamic balance. Regular exercise could remarkably promote functional fitness of the elderly. In this case, designing community fitness programs as long-term continuous activity would promote and maintain fitness.
Effect of scaling on thermal properties and switching operation of phase change memory devices
Authors: Zhu Jie , Ma Changcheng , He Jing , Lu Jingjing , Hu Zuoqi
Published: September 2018

Phase change memory (PCM) is one of the most promising emerging non-volatile memory technologies. This paper simulates phase change memory devices (PCMDs) with careful attention to the scaling and its resulting impact on programming current during the switching operation, while Thomson heating within the phase change material and Peltier heating at the electrode interface are considered. The simulation results show that the device scaling has an influence on temperature distribution, volume of the molten region, heat diffusion and switching operation of PCMDs. The programming current decreases with smaller electrode size, greater thickness of phase change material and deeper isotropic scaling. The heat diffusion becomes more serious when the thickness of phase change materials decreases and the size of PCMD is isotropically scaled down. The scaling arguments also indicate that the impact of thermoelectric phenomena weakens with smaller dimensions due to the influence of programming current, heat diffusion and action area. This simulation provides useful insights to understand the switching operation of the PCMDs under the impact of thermoelectric effects. The process is instrumental for a complete understanding of device operation and hence provides valuable feedback for fine-tuning the device design so as to enhance its efficiency.
Suitability of ANN and GP for Predicting Soak Pit Tank Efficiency under Limited Data Conditions
Authors: Sharma Naresh , Chandrasekar Sivapragasam , Sundar Krishnan
Published: September 2018

Under Industry 4.0 scenario, smart sensors can be suitably integrated with control systems to monitor the treatment of wastewater systems. Such control systems need a sound modelling or forecasting tool for the real time monitoring. This work reports a pilot study to model the treatment efficiency of soak pit tanks for the treatment of grey water using Genetic Programming (GP) and Artificial Neural Network (ANN). Only the inlet total suspended solid is considered for modelling. The Root Mean Square of Errors for GP and ANN run models were found to be 1.8 and 12.5 respectively for Tank 1. The results indicate that GP is a more promising tool than ANN particularly when modelling under limited data conditions. The difference in performance of both the methods seem to depend on the type learning mode adopted in each case.
Prediction of High-Performance Concrete Strength Using a Hybrid Artificial Intelligence Approach
Authors: Prayogo Doddy , Wong Foek Tjong , Tjandra Daniel
Published: September 2018

This study introduces an improved artificial intelligence (AI) approach called intelligence optimized support vector regression (IO-SVR) for estimating the compressive strength of high-performance concrete (HPC). The nonlinear functional mapping between the HPC materials and compressive strength is conducted using the AI approach. A dataset with 1,030 HPC experimental tests is used to train and validate the prediction model. Depending on the results of the experiments, the forecast outcomes of the IO-SVR model are of a much higher quality compared to the outcomes of other AI approaches. Additionally, because of the high-quality learning capabilities, the IO-SVR is highly recommended for calculating HPC strength.
Thermal Properties of Concrete Incorporated with Shape-stable Phase Change Material
Authors: Chin Chun On , Sih Ying Kong
Published: September 2018

There has been an ever-increasing interest in concrete incorporated with shape-stable phase change material (SSPCM) in recent years for its outstanding thermal performance. In this research, PCM was incorporated into porous lightweight aggregate, namely exfoliated vermiculite to form SSPCM. SSPCMS were integrated with concrete to study their effects on thermal behaviour. Thermal testing was performed using both hot plate and KD2Pro. From the obtained results, it was observed that thermal conductivity and diffusivity reduced by 29% and 63% respectively whereas specific heat capacity increased by 40% with inclusion of SSPCMs. It was concluded that the implementation of SSPCM technology can be seen as a feasible and economical solution for energy efficient buildings.
Buckling analysis of anti-symmetric cross and angle-ply laminated composite plates
Authors: Bouyaya L.
Published: September 2018

This article has for objective to analyze the buckling behavior of the unidirectional laminated plates. In this purpose, we propose an analytically method, based on the theory of classical, orthotropic plate theory. The governing equations are solved using Navier solution for uniform uniaxial loading in longitudinal direction. We were interested to identify the critical buckling load for simply supported antisymmetric cross-ply and antisymmetric angle-ply laminates of rectangular shape. Some important progress has been made on these relatively complicated buckling problems, involving coupling between bending and midplane stretching during a buckling deformation. Effects of different parameters such as fiber orientation angles, aspect ratio, modular ratio and number of layers were examined. Results are presented in the form of plots showing the variation in non-dimensional buckling load.
On green functions for Dirichelet sub-Laplacians on a Quaternion Heisenberg group
Authors: Sabitbek Bolys , Suragan Durvudkhan
Published: September 2018

In the present paper, Green functions of Dirichlet boundary value problems are constructed for sub-Laplacians on certain unbounded domains of the quaternion Heisenberg group. Also, the explicit solutions of the Dirichlet problem are presented for the sub-Laplacian with non-zero boundary datum in wedge and strip domains. We also present Hardy and Rellich inequalities for the sub-Laplacians in terms of their fundamental solutions.
On the Bickel–Rosenblatt test of goodness-of-fit for the residuals of autoregressive processes
Authors: Lagnoux Agnès , Nguyen Thi Mong Ngoc , Proïa Frédéric
Published: September 2018

We investigate in this paper a Bickel–Rosenblatt test of goodness-of-fit for the density of the noise in an autoregressive model. Since the seminal work of Bickel and Rosenblatt, it is well-known that the integrated squared error of the Parzen–Rosenblatt density estimator, once correctly renormalized, is asymptotically Gaussian for independent and identically distributed (i.i.d.) sequences. We show that the result still holds when the statistic is built from the residuals of general stable and explosive autoregressive processes. In the univariate unstable case, we prove that the result holds when the unit root is located at − 1 whereas we give further results when the unit root is located at 1. In particular, we establish that except for some particular asymmetric kernels leading to a non-Gaussian limiting distribution and a slower convergence, the statistic has the same order of magnitude. We also study some common unstable cases, like the integrated seasonal process. Finally, we build a goodness-of-fit Bickel–Rosenblatt test for the true density of the noise together with its empirical properties on the basis of a simulation study.