Telecommunications and Energy Infrastructure Sharing: Technical and Socio-Economic Impact Analysis in a Multi-Operator Environment in Burundi

The sharing of telecommunications infrastructure and power supply equipment is currently an applicable and very common model for grouping signal transmission and reception equipment and their power supply on the same site to ensure coverage of fixed, mobile, Internet and radio and television broadcasting networks. This study consists of producing an inventory of telecommunications and energy infrastructure sharing, focusing on the one hand on analyzing the impacts of active and passive sharing of telecommunications infrastructure from a technical point of view, particularly in terms of legal framework, deployment, coverage and exposure to electromagnetic radiation, and on the other hand on identifying the effects of infrastructure sharing from a socio-economic point of view in a multi-operator mobile telephony environment, by indicating the economic value of the revenue generated as a result of infrastructure sharing. Finally, the results will contribute to identify strategies for ensuring maximum deployment and coverage of the country, and for developing the information and communication technologies (ICT) sector in order to contribute to the digital transformation by digitising services using mobile telephony and the Internet in Burundi.

Analysis on Output Power for Multi-direction Piezoelectric Vibration Energy Harvester

To predict the performance of multi-direction piezoelectric vibration energy harvester,an equation for calculating its output power is obtained based on elastic mechanics theory and piezoelectricity theory.Experiments are performed to verify theoretical analysis.When the excitation direction is along Y direction,a maximal output power about 0.139 mW can be harvested at a resistive load of 65kΩ and an excitation frequency of 136 Hz.Theoretical analysis agrees well with experimental results.Furthermore,the performance of multi-direction vibration energy harvester is experimentally tested.The results show that the multi-direction vibration energy harvester can harvest perfect energy as the excitation direction changes in XY plane,YZ plane,XZ plane and body diagonal plane of the harvester.

Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power

This paper proposed an initiative optimization operation strategy and multi-objective energy management method for combined cooling heating and power U+0028 CCHP U+0029 with storage systems. Initially, the initiative optimization operation strategy of CCHP system in the cooling season, the heating season and the transition season was formulated. The energy management of CCHP system was optimized by the multi-objective optimization model with maximum daily energy efficiency, minimum daily carbon emissions and minimum daily operation cost based on the proposed initiative optimization operation strategy. Furthermore, the pareto optimal solution set was solved by using the niche particle swarm multi-objective optimization algorithm. Ultimately, the most satisfactory energy management scheme was obtained by using the technique for order preference by similarity to ideal solution U+0028 TOPSIS U+0029 method. A case study of CCHP system used in a hospital in the north of China validated the effectiveness of this method. The results showed that the satisfactory energy management scheme of CCHP system was obtained based on this initiative optimization operation strategy and multi-objective energy management method. The CCHP system has achieved better energy efficiency, environmental protection and economic benefits. © 2014 Chinese Association of Automation.

Multi-Direction Piezoelectric Energy Harvesting Techniques

With the development of portable and self-powering electronic devices, micro-electromechanical system (MEMS) and wireless sensor networks, research on piezoelectric energy harvesting techniques has been paid more and more attention. To enhance the ambient adaptability and improve the generating efficiency, the multi-directional piezoelectric energy harvesting techniques turns to be a research hotspot. The current status of the multi-directional piezoelectric energy harvesting techniques was firstly reviewed. The characteristics of existed multi-directional piezoelectric harvester were then analyzed. An improved structure of multi-directional piezoelectric harvester was finally proposed. The multi-directional piezoelectric energy harvester has a good prospect in miniaturization, more sensitive to vibration directions and better energy efficiency.

Security and Stability Aspects of Multi Objective Dynamic Economic Dispatch with Renewable Energy and HVDC Transmission Lines

Renewable sources of energy are being integrated into the power grids due to their economic and environmental merits as compared with the traditional fossil-fuel-fired power generation. However, their significant penetration demands a thorough research in terms of system reliability, that is, security and stability. In this paper, Security Constrained Multi Objective Dynamic Economic Dispatch (SCMODED) problem considering cubic thermal cubic cost function, wind, solar penetration, cubic transmission power losses and cubic emissions cost function as objectives is first formulated. Both HVDC and HVAC lines are included in their formulation. Various approaches like probabilistic load flow (PLF), scenario based method, participation factors and Harmony Search algorithm etc. are employed in the solution process. Security and stability effects of renewable energy (RE) penetration are investigated and analyzed. The simulated results reveal that RE penetration leads to reduced cost and emissions and increased security concerns. Further, there is increased power system instability and hence increased load shedding so as to help the power system attain steady state stability. Inclusion of HVDC lines facilitates rapid and fast control to increase the transient stability limit by the action of the converter ignition angle (CIA) and converter extinction angle (CEA).

Multi-agent Based Protection on Highly Dominated Distributed Energy Resources

Highly penetration of Distributed Energy Resources (DER) on the grid systems nowadays makes the systems grow dynamically. The system become more complex and the protection system become more complicated. The protection relay should accommodate the system changes according to the system conditions and topologies. As part of developmental aspect of Distributed Artificial Intelligent, Multi Agent System (MAS) is a challenging method for improving the intelligent properties of relay protection. This paper introduces the use of MAS approach on radial distribution system protection dominated with DER using dispersed adaptive rule-based protection supported by distributed database agent. The simulation results confirmed that the proposed algorithm can respond within 15.05 ms.

A multi-objective train-scheduling optimization model considering locomotive assignment and segment emission constraints for energy saving

Energy saving and emission reduction for railway systems should not only be studied from a technical perspective but should also be focused on management and economics. On the basis of relevant trainscheduling models for train operation management, in this paper we introduce an extended multi-objective trainscheduling optimization model considering locomotive assignment and segment emission constraints for energy saving. The objective of setting up this model is to reduce the energy and emission cost as well as total passenger- time. The decision variables include continuous variables such as train arrival and departure time, and binary vari- ables such as locomotive assignment and segment occu- pancy. The constraints are concerned with train movement, trip time, headway, and segment emission, etc. To obtain a non-dominated satisfactory solution on these objectives, a fuzzy multi-objective optimization algorithm is employed to solve the model. Finally, a numerical example is performed and used to compare the proposed model with the existing model. The results show that the proposed model can reduce the energy consumption, meet exhausts emission demands effectively by optimal locomotive assignment, and its solution methodology is effective.

Color Correction for Multi-view Video Using Energy Minimization of View Networks

Systems using numerous cameras are emerging in many fields due to their ease of production and reduced cost, and one of the fields where they are expected to be used more actively in the near future is in image-based rendering （IBR）. Color correction between views is necessary to use multi-view systems in IBR to make audiences feel comfortable when views are switched or when a free viewpoint video is displayed. Color correction usually involves two steps： the first is to adjust camera parameters such as gain, brightness, and aperture before capture, and the second is to modify captured videos through image processing. This paper deals with the latter, which does not need a color pattern board. The proposed method uses scale invariant feature transform （SIFT） to detect correspondences, treats RGB channels independently, calculates lookup tables with an energy-minimization approach, and corrects captured video with these tables. The experimental results reveal that this approach works well.

Studies on absorption coefficients of dual-energy γ-rays and measur-ing error correction for multiphase fraction determination

In this article, principle and mathematical method of determining the phase fractions of multiphase flows by using a dual-energy γ -ray system have been described. The dual-energy γ -ray device is composed of radioactive isotopes of 241Am and 137Cs with γ -ray energies of 59.5 and 662 keV, respectively. A rational method to calibrate the absorption coefficient was introduced in detail. The modified arithmetic is beneficial to removing the extra Compton scattering from the measured value. The result shows that the dual-energy γ -ray technique can be used in three-phase flow with average accuracy greater than 95%, which enables us to determine phase fractions almost independent of the flow regime. Improvement has been achieved on measurement accuracy of phase fractions.

Dual-Energy X-Ray Computed Tomography Scanner Using Two Different Energy-Selection Electronics and a Lutetium-Oxyorthosilicate Photomultiplier Detector

To obtain two kinds of tomograms at two different X-ray energy ranges simultaneously, we have constructed a dual-energy X-ray photon counter with a lutetium-oxyorthosilicate photomultiplier detector system, three comparators, two microcomputers, and two frequency-voltage converters. X-ray photons are detected using the detector system, and the event pulses are input to three comparators simultaneously to determine threshold energies. At a tube voltage of 100 kV, the three threshold energies are 16, 35 and 52 keV, and two energy ranges are 16 - 35 and 52 - 100 keV. X-ray photons in the two ranges are counted using microcomputers, and the logical pulses from the two microcomputers are input to two frequency-voltage converters. In dual-energy computed tomography (CT), the tube voltage and current were 100 kV and 0.29 mA, respectively. Two tomograms were obtained simultaneously at two energy ranges. The energy ranges for gadolinium-L-edge and K-edge CT were 16 - 35 and 52 - 100 keV, respectively. The maximum count rate of dual-energy CT was 105 kilocounts per second with energies ranging from 16 to 100 keV, and the exposure time for tomography was 19.6 min.

Selection of Renewable Energy Based on Life Cycle Assessment and Multi-Criteria Decision Making

The development of renewable energy has become an important issue nowadays owing to the growing concerns about global warming and shortage of fossil fuels. The present study proposes an approach that integrates life cycle assessment (LCA), 3E (Energy-Economics-Environment) indicators and multi-criteria analysis (MCA) to evaluate environmental impacts and find the best choice or better choices among various renewable energy development plans. Several alternatives of wind turbines and photovoltaic (PV) systems are considered in the case study since they are found to be more feasible in Taiwan in a preliminary study. By using the proposed approach, the result indicates that the major environmental impacts arising from the development of wind turbines and PV systems in Taiwan are the generation of respiratory inorganics and minerals as well as the consumption of fossil fuels. Based on experts’ opinions, the outcome of multi-criteria analysis suggests that wind turbines have more advantages than PV systems in Taiwan. In particular, among the studied systems, a 2500-kW offshore wind turbine system has the greatest integrated performance, and a 4500-kW onshore wind turbine system comes in second.

Multi-Energy Gamma-Ray Attenuations for Non-Destructive Detection of Hazardous Materials

We present a non-destructive method (NDM) to identify minute quantities of high atomic number (Z) elements in containers such as passenger baggage, goods carrying transport trucks, and environmental samples. This method relies on the fact that photon attenuation varies with its energy and properties of the absorbing medium. Low-energy gamma-ray intensity loss is sensitive to the atomic number of the absorbing medium, while that of higher-energies vary with the density of the medium. To verify the usefulness of this feature for NDM, we carried out simultaneous measurements of intensities of multiple gamma rays of energies 81 to 1408 keV emitted by sources 133Ba (half-life = 10.55 y) and 152Eu (half-life = 13.52 y). By this arrangement, we could detect minute quantities of lead and copper in a bulk medium from energy dependent gamma-ray attenuations. It seems that this method will offer a reliable, low-cost, low-maintenance alternative to X-ray or accelerator-based techniques for the NDM of high-Z materials such as mercury, lead, uranium, and transuranic elements etc.

双能量CT非线性融合和噪声优化的虚拟单能量图像技术在喉鳞状细胞癌中的应用

目的:探讨双能量CT线性融合图像(linear blending imaging,LBI)、非线性融合图像(nonlinear blending image,NBI)和噪声优化的虚拟单能量图像(noise-optimized virtual monoenergetic image,VMI+)技术在喉鳞状细胞癌中的应用价值。方法:回顾性分析2019年6月至2022年3月61例经病理证实为喉鳞状细胞癌患者的双能量CT资料。双能量图像采用LBI[融合系数为1(80 kV)和0.6(M0.6)]、NBI和VMI+(40 keV、55 keV)技术重建。比较5组图像的客观图像质量[对比噪声比(contrast-tonoise ratio,CNR)、肿瘤CT值、噪声]和主观图像质量(肿瘤边界评分和整体图像质量评分)。结果:40 keV的CNR、肿瘤CT值和肿瘤边界评分均明显高于80 kV、M0.6、NBI和55 keV,差异均有统计学意义(均P<0.05)。NBI的整体图像质量评分明显高于80 kV、M0.6、40 keV和55 keV,差异均有统计学意义(均P<0.05)。NBI的噪声明显低于80 kV、40 keV和55 keV,差异均有统计学意义(均P<0.05)。结论:在喉鳞状细胞癌的双能量CT中,采用VMI+技术(40 keV)能提供更好的CNR、肿瘤CT值和肿瘤边界,采用NBI技术能提供更低的噪声和更好的整体图像质量。

采用MSCT灌注成像检查评估周围型非小细胞肺癌分化程度的可行性分析

目的分析多层螺旋CT(MSCT)灌注成像检查评估周围型非小细胞肺癌(NSCLC)分化程度的可行性。方法选取本院2017年7月至2018年10月本院收治确诊的52例周围型NSCLC患者作为研究对象,比较不同分化级别患者的MSCT灌注成像参数;分析灌注参数与分化程度的相关性。结果高分化、中分化周围型NSCLC患者BF、BV、PS、MTT及PH数值均高于低分化周围型NSCLC,以高分化周围型NSCLC的BF、BV、PS、MTT及PH数值最高。各个灌注参数值,其中高分化、中分化周围型NSCLC的BF、PH与低分化周围型NSCLC比较差异显著(P<0.05),三者BV、PS及MTT数值比较,均为明显差异(P>0.05)。周围型NSCLC患者灌注参数BF、PH与其分化程度成负相关,且相关性显著(P<0.05)。结论MSCT灌注成像检查可有效反映周围型NSCLC的分化程度,其灌注参数中BF、PH对评估其分化程度有一定帮助,与周围型NSCLC分化程度具有一定相关性。

双源CT电子密度/有效原子序数(Rho/Z)在孤立性肺结节中的诊断价值

目的:探讨双源CT(DSCT)双能量技术电子密度/有效原子序数(Rho/Z)在孤立性肺结节中良恶性的诊断价值。方法:回顾性收集130例双能量平扫及增强的孤立性肺结节患者,其中恶性组68例,良性组62例,利用Rho/Z应用程序对平扫及增强静脉期图像进行评估,记录参数Rho、Z和双能量指数(DEI)值,比较两组间的差异,对于有统计学差异的参数,将绘制受试者工作特性(ROC)曲线,以评估其诊断效能。结果:平扫时,恶性组Rho (31.1±22.33)HU明显高于良性组(24.69±20.91)HU,两组之间存在显著统计学差异(P=0.003<0.05),Z与DEI在两组间差异无统计学意义(P>0.05);增强静脉期,恶性组Rho (35.3±20.85)HU明显高于良性组(24.73±17.93)HU,两组之间可见显著统计学差异(P=0.001<0.05),Z与DEI在两组间差异均无统计学意义(P>0.05)。在两组的鉴别诊断中,平扫及增强静脉期Rho的ROC曲线下面积分别为0.652、0.696。结论:DSCT双能量技术Rho/Z有一定特征,有助于孤立性肺结节的诊断。

胸腹部平扫CT值用于机会性筛查骨质疏松的可行性

目的:基于定量CT(QCT)探讨胸部常规kVp平扫和腹部能谱GSI平扫下椎体CT值用于机会性筛查骨质疏松的可行性。方法:前瞻性收集接受胸腹部平扫的患者431例,胸部CT扫描采用常规120 kVp,腹部扫描采用能谱(GSI)模式。对胸腹部扫描重叠的T11~L1椎体进行分析。使用QCT骨密度测量工作站测得胸部常规120 kVp下T11~L1椎体的骨密度(BMD),同时分别测量胸部120 kVp与腹部GSI扫描70 keV单能量下T11~L1椎体的CT值。采用组内相关系数(ICC)评估数据测量的一致性,Spearman相关性检验分析椎体BMD值与CT值之间的相关性。不同椎体间CT值差异采用Friedman秩和检验。参考QCT诊断标准,将椎体分为骨质疏松、骨量减少和骨量正常组,采用Kruskal-Wallis比较三组间及组内CT值差异。组内120 kVp-CT值和GSI-CT值采用Wilcoxon秩和检验。以T11~L1椎体BMD均值行骨质状态判定,采用受试者操作特征(ROC)曲线分析椎体CT值评估骨质状态的诊断效能。结果:椎体BMD与120 kVp-CT值和GSI-CT值均呈正相关(r=0.976、0.963,P<0.001)。120 kVp和GSI下T11~L1椎体CT值依次为T11[144.00(72.00)、158.00(79.00)]、T12[137.00(67.00)、150.00(76.00)]、L1[128.00(67.00)、137.00(74.00)],不同椎体及椎体内差异均有统计学意义(P<0.001)。431例患者共1293个椎体,骨量正常组椎体496个、骨量减少组椎体415个、骨质疏松组椎体382个。120 kVp和GSI下骨量正常、骨量减少和骨质疏松组椎体CT值依次为[181.50(43.67)、199.65(48.57)]、[132.20(18.50)、144.00(23.00)]和[87.75(22.20)、93.30(27.20)],不同骨质状态组间椎体CT值差异有统计学意义(P<0.05),且各组组内椎体GSI-CT值均高于椎体120 kVp-CT值(P<0.05)。120 kVp-CT值与GSI-CT值诊断骨量减少的AUC分别为0.976、0.967,差异无统计学意义(P=0.0937);诊断骨质疏松的AUC均为1.000,差异无统计学意义(P=1.000)。结论:胸部常规120 kVp及腹部GSI平扫CT值均可用于机会性筛查骨质疏松,诊断效能良好。

双能量CT对痛风的诊断价值探讨

目的 探讨双能量CT(DECT)对痛风的诊断价值。方法 选取96例痛风患者作为观察组,另选取18例非痛风患者作为对照组;再将96例痛风患者根据有无痛风石分为痛风石组(16例)和无痛风石组(80例);根据病程将痛风患者分为早期(病程≤12个月, 17例)、中期(13~36个月, 12例)及晚期(病程>36个月, 67例);根据血尿酸水平高低将痛风患者分为正常尿酸组(尿酸≤420μmol/L, 29例)和高尿酸组(尿酸>420μmol/L, 67例)。所有患者均进行DECT检查。比较观察组和对照组患者、不同病程痛风患者、不同血尿酸水平痛风患者、有无痛风石患者的尿酸盐结晶沉积检出率。结果 观察组尿酸盐结晶沉积检出率为75.00%,高于对照组的5.56%,差异有统计学意义(P<0.05)。早期、中期及晚期痛风患者尿酸盐结晶沉积检出率分别为52.94%(9/17)、58.33%(7/12)、83.58%(56/67),比较差异有统计学意义(P<0.05),晚期>中期>早期。高尿酸组尿酸盐结晶沉积检出率76.12%高于正常尿酸组的72.41%,但差异无统计学意义(P>0.05)。痛风石组尿酸盐结晶沉积检出率100.00%高于无痛风石组的70.00%,差异有统计学意义(P<0.05)。结论 DECT对痛风的诊断价值显著,其可作为痛风早期及合并痛风石患者的诊断及评估病情的方法之一,对指导痛风治疗及疗效评估有重要的价值。

双能CT与肌骨超声联合应用对早期痛风的诊断价值

目的:探讨双能CT(DECT)与肌骨超声(MSUS)联合应用对早期痛风的诊断价值。方法:选取142例风湿科住院或门诊收治的高度疑似痛风患者为研究对象。所有患者均进行DECT、MSUS及关节液偏振光显微镜检查,分析DECT、MSUS单独及二者联合对尿酸盐沉积、关节积液、骨侵蚀及滑膜增厚的检出情况;以临床诊断为“金标准”,评价DECT、MSUS单独及二者联合检查对早期痛风的敏感度、特异度、阳性预测值、阴性预测值及准确度,并绘制诊断的受试者工作特征(ROC)曲线。结果:本研究中,诊断为痛风者111例,非痛风者31例。MSUS、DECT二者单独检查时,对尿酸盐沉积、关节积液及骨侵蚀检出率比较,差异均无统计学意义(P>0.05);MSUS对滑膜增厚的检出率高于DECT(P<0.05)。MSUS联合DECT对尿酸盐沉积、关节积液、骨侵蚀及滑膜增厚的检出率均高于二者单独检测(P<0.05)。以临床诊断为“金标准”,二者联合诊断时任一结果阳性即判定为阳性。结果显示:MSUS检查除敏感度外,诊断效能高于DECT,其余指标差异无统计学意义(P>0.05);联合检查的敏感度、阴性预测值及准确度均高于DECT单独检查(P<0.05)。ROC曲线显示,MSUS、DECT及二者联合检查的AUC值分别为0.845、0.776及0.848。结论:MSUS与DECT均对早期痛风有较高的诊断效能,且MSUS优于DECT,二者联合检查在不降低特异度的前提下,有更高的敏感度。

双源CT双能量虚拟平扫对直肠癌壁外血管侵犯的诊断价值

目的:探讨双源CT双能量虚拟平扫(VNC)对直肠癌壁外血管侵犯(EMVI)的术前诊断价值。方法:选取2019年11月至2021年12月间拟手术治疗的150例直肠癌患者术前行双源CT双能量虚拟平扫,女性64例(42.7%)、男性86例(57.3%),平均年龄为(62.3±11.8)岁。两名高年资影像科医师独立分析术前影像资料(包括ctEMVI情况及有无局部淋巴结浸润和远处转移),判断是否存在术前EMVI。以手术病理结果为金标准,分别评价VNC诊断EMVI的敏感性、特异性、准确性、阳性预测值和阴性预测值并采用受试者操作特征(ROC)曲线下面积评价其诊断效能。结果:150例直肠癌患者中,术后病理证实56例(37.3%)为EMVI阳性,94例(62.7%)为EMVI阴性。医师1对EMVI评价准确性、敏感性、特异性、阳性预测值、阴性预测值分别为86%、80.36%、89.36%、81.82%、88.42%,AUC为0.831(95%CI 0.756~0.905);医师2的准确性、敏感性、特异性、阳性预测值、阴性预测值分别为88.67%、80.36%、93.62%、88.24%、88.89%,AUC为0.870(95%CI 0.802~0.938),医师1与医师2的评估结果一致性较高(k=0.943)。结论:双源CT双能量虚拟平扫对直肠癌EMVI术前评估具有一定的诊断价值。