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TPS54620 Step-Down Converter Evaluation Module Use

TPS54620 Step-Down Converter Evaluation Module Use

User’s GuideTPS54620 Step-Down Converter Evaluation Module User's GuideABSTRACTThis user’s guide contains background information for the TPS54620 as well as support documentation forthe TPS54620EVM-374 evaluation module (HPA374). Also included are the performance specifications, the schematic, and the bill of materials for the TPS54620EVM-374.Table of Contents1 Introduction (2)2 Test Setup and Results (5)3 Board Layout (12)4 Schematic and Bill of Materials (18)5 Revision History (19)List of FiguresFigure 2-1. TPS54620EVM-374 Efficiency (6)Figure 2-2. TPS54620EVM-374 Low Current Efficiency (6)Figure 2-3. TPS54620EVM-374 Load Regulation (7)Figure 2-4. TPS54620EVM-374 Line Regulation (7)Figure 2-5. TPS54620EVM-374 Transient Response (8)Figure 2-6. TPS54620EVM-374 Loop Response (8)Figure 2-7. TPS54620EVM-374 Output Ripple (9)Figure 2-8. TPS54620EVM-374 Input Ripple (9)Figure 2-9. TPS54620EVM-374 Start-Up Relative to V IN (10)Figure 2-10. TPS54620EVM-374 Start-up Relative to Enable (10)Figure 2-11. TPS54620EVM-374 Thermal Image (11)Figure 3-1. TPS54620EVM-374 Top-Side Layout (13)Figure 3-2. TPS54620EVM-374 Layout 2 (14)Figure 3-3. TPS54620EVM-374 Layout 3 (15)Figure 3-4. TPS54620EVM-374 Bottom-Side layout (16)Figure 3-5. TPS54620EVM-374 Top-Side Assembly (17)Figure 4-1. TPS54620EVM-374 Schematic (18)List of TablesTable 1-1. Input Voltage and Output Current Summary (2)Table 1-2. TPS54620EVM-374 Performance Specification Summary (2)Table 1-3. Output Voltages Available (3)Table 2-1. EVM Connectors and Test Points (5)Table 4-1. TPS54620EVM-374 Bill of Materials (19)TrademarksAll trademarks are the property of their respective owners.Introduction 1 Introduction1.1 BackgroundThe TPS54620 dc/dc converter is designed to provide up to a 6 A output. The TPS54620 implements asplit input power rails with separate input voltage inputs for the power stage and control circuitry. The power stage input (PVIN) is rated for 1.6 V to 17 V while the control input (VIN) is rated for 4.5 to 17 V. TheTPS54620EVM-374 provides both inputs but is designed and tested using the PVIN connected to VIN. Rated input voltage and output current range for the evaluation module are given in Table 1-1. This evaluation module is designed to demonstrate the small printed-circuit-board areas that may be achieved when designing with the TPS54620 regulator. The switching frequency is externally set at a nominal480 kHz. The high-side and low-side MOSFETs are incorporated inside the TPS54620 package along with the gate drive circuitry. The low drain-to-source on resistance of the MOSFET allows the TPS54620 to achievehigh efficiencies and helps keep the junction temperature low at high output currents. The compensation components are external to the integrated circuit (IC), and an external divider allows for an adjustable output voltage. Additionally, the TPS54620 provides adjustable slow start, tracking and undervoltage lockout inputs. The absolute maximum input voltage is 20 V for the TPS54620EVM-374.1.2 Performance Specification SummaryA summary of the TPS54620EVM-374 performance specifications is provided in Table 1-2. Specifications are given for an input voltage of V IN = 12 V and an output voltage of 3.3 V, unless otherwise specified. TheTPS54620EVM-374 is designed and tested for V IN = 8 V to 17 V with the VIN and PVIN pins connect together with the J3 jumper. The ambient temperature is 25°C for all measurements, unless otherwise noted.1.3 ModificationsThese evaluation modules are designed to provide access to the features of the TPS54620. Some modifications can be made to this module.2TPS54620 Step-Down Converter Evaluation Module User's Guide SLVU281B – MAY 2009 – REVISED AUGUST 20211.3.1 Output Voltage Set PointThe output voltage is set by the resistor divider network of R8 and R9. R9 is fixed at 10 kΩ. To change the output voltage of the EVM, it is necessary to change the value of resistor R8. Changing the value of R8 can change the output voltage above 0.8 V. The value of R8 for a specific output voltage can be calculated using Equation 1.)OUT k V -V R V10W(0.88=0.8(1)Table 1-3 lists the R8 values for some common output voltages. Note that V IN must be in a range so that the minimum on-time is greater than 120 ns, and the maximum duty cycle is less than 95%. The values given in Table 1-3 are standard values, not the exact value calculated using Equation 1.1.3.2 Slow Start TimeThe slow start time can be adjusted by changing the value of C7. Use Equation 2 to calculate the required value of C7 for a desired slow start timeTss(ms)Iss(μA)C7(nF)=Vref(V)´(2)The EVM is set for a slow start time of 4 msec using C7 = 0.01 µF.1.3.3 Track InThe TPS54620 can track an external voltage during start up. The J5 connector is provided to allow connection to that external voltage. Ratio-metric or simultaneous tracking can be implemented using resistor divider R5 and R6. See the TPS54620 data sheet (SLVS949) for details.1.3.4 Adjustable UVLOThe under voltage lock out (UVLO) ca be adjusted externally using R1 and R2. The EVM is st for a start voltage of 6.521 V and a stop voltage of 6.065 V using R1 = 35.7 kΩ and R2 = 8.06 kΩ. Use Equation 3 and Equation 4 to calculate required resistor values for different start and stop voltages.ENFALLING START STOPENRISING ENFALLING p h ENRISING V V -V V R1=V I 1-+I V æöç÷èøæöç÷èø(3)ENFALLINGSTOP ENFALLING p h R1×V R2=V -V +R1(I +I )(4) IntroductionIntroduction 1.3.5 Input Voltage RailsThe EVM is designed to accommodate different input voltage levels for the power stage and control logic. During normal operation, the PVIN and VIN inputs are connected together using a jumper across J3. The single input voltage is supplied at J1. If desired, these to input voltage rails may be separated by removing the jumper across J3. Two input voltages must then be provided at both J1 and J2. Test Setup and Results2 Test Setup and ResultsThis section describes how to properly connect, set up, and use the TPS54620EVM-374 evaluation module.The section also includes test results typical for the evaluation module and covers efficiency, output voltage regulation, load transients, loop response, output ripple, input ripple, and start-up.2.1 Input / Output ConnectionsThe TPS54620EVM-374 is provided with input/output connectors and test points as shown in Table 2-1. A power supply capable of supplying 4 A must be connected to J1 through a pair of 20 AWG wires. The jumper acrossJ3 must be in place. See Section 1.3.5 for split input voltage rail operation. The load must be connected toJ7 through a pair of 20 AWG wires. The maximum load current capability must be 6 A. Wire lengths must be minimized to reduce losses in the wires. Test-point TP1 provides a place to monitor the V IN input voltages with TP2 providing a convenient ground reference. TP8 is used to monitor the output voltage with TP9 as the ground reference.Test Setup and Results 2.2 EfficiencyThe efficiency of this EVM peaks at a load current of about 2 A and then decreases as the load current increasesshows the efficiency for the TPS54620EVM-374 at an ambient temperature of 25°C.towards full load. Figure 2-1Figure 2-2 shows the efficiency for the TPS54620EVM-374 at lower output currents below 0.10 A at an ambienttemperature of 25°C.The efficiency may be lower at higher ambient temperatures, due to temperature variation in the drain-to-source resistance of the internal MOSFET. Test Setup and Results 2.3 Output Voltage Load Regulationshows the load regulation for the TPS54620EVM-374.Figure 2-3Measurements are given for an ambient temperature of 25°C.2.4 Output Voltage Line RegulationFigure 2-4shows the line regulation for the TPS54620EVM-374.2.5 Load TransientsFigure 2-5 shows the TPS54620EVM-374 response to load transients. The current step is from 25% to 75% of maximum rated load at 12 V input. Total peak-to-peak voltage variation is as shown, including ripple and noiseon the output.Figure 2-5. TPS54620EVM-374 Transient Response2.6 Loop CharacteristicsFigure 2-6 shows the TPS54620EVM-374 loop-response characteristics. Gain and phase plots are shown for V INFigure 2-6. TPS54620EVM-374 Loop ResponseTest Setup and Results 2.7 Output Voltage RippleFigure 2-7 shows the TPS54620EVM-374 output voltage ripple. The output current is the rated full load of 6 A and V IN= 12 V. The ripple voltage is measured directly across the output capacitors.Figure 2-7. TPS54620EVM-374 Output Ripple2.8 Input Voltage RippleFigure 2-8 shows the TPS54620EVM-374 input voltage. The output current is the rated full load of 4 A and V IN =12 V. The ripple voltage is measured directly across the input capacitors.Figure 2-8. TPS54620EVM-374 Input Ripple Test Setup and ResultsTest Setup and Results 2.9 Powering UpFigure 2-9 and Figure 2-10 show the start-up waveforms for the TPS54620EVM-374 . In Figure 2-9, the output voltage ramps up as soon as the input voltage reaches the UVLO threshold as set by the R1 and R2 resistor divider network. In Figure 2-10, the input voltage is initially applied and the output is inhibited by using a jumper at J2 to tie EN to GND. When the jumper is removed, EN is released. When the EN voltage reaches theenable-threshold voltage, the start-up sequence begins and the output voltage ramps up to the externally set value of 3.3 V. The input voltage for these plots is 12 V and the load is 1Ω.Figure 2-9. TPS54620EVM-374 Start-Up Relative to VIN Array Figure 2-10. TPS54620EVM-374 Start-up Relative to Enable Test Setup and Results 2.10 Thermal CharacteristicsThis section shows a thermal image of the TPS54620EVM-374 running at 12 V input and 6 A load. there is no air flow and the ambient temperature is 25°C. The peak temperature of the IC (70°C) is well below the maximum recommended operating condition listed in the data sheet of 150°C.Figure 2-11. TPS54620EVM-374 Thermal ImageBoard Layout 3 Board LayoutThis section provides a description of the TPS54620EVM-374 , board layout, and layer illustrations.3.1 LayoutThe board layout for the TPS54620EVM-374 is shown in Figure 3-1 through Figure 3-5. The topside layer of the EVM is laid out in a manner typical of a user application. The top, bottom and internal layers are 2-oz. copper. The top layer contains the main power traces for PVIN, VIN, V OUT, and VPHASE. Also on the top layer are connections for the remaining pins of the TPS54620 and a large area filled with ground. The bottom and internal ground layers contains ground planes only. The top side ground traces are connected to the bottom and internal ground planes with multiple vias placed around the board including two vias directly under the TPS54620 device to provide a thermal path from the top-side ground plane to the bottom-side ground plane.The input decoupling capacitors (C2, and C3) and bootstrap capacitor (C5) are all located as close to the ICas possible. In addition, the voltage set-point resistor divider components are also kept close to the IC. The voltage divider network ties to the output voltage at the point of regulation, the copper V OUT trace at the J7 output connector. For the TPS54620, an additional input bulk capacitor may be required, depending on the EVM connection to the input supply. Critical analog circuits such as the voltage setpoint divider, frequency set resistor, slow start capacitor and compensation components are terminated to ground using a wide ground trace separate from the power ground pour. Board LayoutFigure 3-1. TPS54620EVM-374 Top-Side LayoutBoard Layout Figure 3-2. TPS54620EVM-374 Layout 2 Board LayoutFigure 3-3. TPS54620EVM-374 Layout 3Board Layout Figure 3-4. TPS54620EVM-374 Bottom-Side layout Board LayoutFigure 3-5. TPS54620EVM-374 Top-Side Assembly3.2 Estimated Circuit AreaThe estimated printed circuit board area for the components used in this design is 0.58 in2 (374 mm2). This area does not include test point or connectors.Schematic and Bill of Materials 4 Schematic and Bill of MaterialsThis section presents the TPS54620EVM-374 schematic and bill of materials.4.1 Schematicis the schematic for the TPS54620EVM-374.Figure 4-1 Schematic and Bill of Materials 4.2 Bill of MaterialsTable 4-1 presents the bill of materials for the TPS54620EVM-374 .5 Revision HistoryNOTE: Page numbers for previous revisions may differ from page numbers in the current version.Changes from Revision A (March 2017) to Revision B (August 2021)Page •Updated the numbering format for tables, figures, and cross-references throughout the document. (2)•Updated the user's guide title (2)Changes from Revision * (May 2009) to Revision A (March 2017)Page •Changed the Load transient response TYP values in Table 1-2 (2)•Changed the Loop bandwidth TYP value From: 45 To 43 kHz in Table 1-2 (2)•Changed the Phase margin TYP value From: 46 To 52° in Table 1-2 (2)•Changed the Output ripple voltage TYP value From: 18 To 20 mVPP in Table 1-2 (2)•Replaced Figure 2-5 (8)•Replaced Figure 2-6 (8)•Replaced Figure 2-7 (9)Revision History •Replaced Figure 4-1 (18)•Changed values of C8, C9, R4, C4, and the Description of U1 in Table 4-1 (19)IMPORTANT NOTICE AND DISCLAIMERTI PROVIDES TECHNICAL AND RELIABILITY DATA (INCLUDING DATA SHEETS), DESIGN RESOURCES (INCLUDING REFERENCE DESIGNS), APPLICATION OR OTHER DESIGN ADVICE, WEB TOOLS, SAFETY INFORMATION, AND OTHER RESOURCES “AS IS” AND WITH ALL FAULTS, AND DISCLAIMS ALL WARRANTIES, EXPRESS AND IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT OF THIRD PARTY INTELLECTUAL PROPERTY RIGHTS.These resources are intended for skilled developers designing with TI products. You are solely responsible for (1) selecting the appropriate TI products for your application, (2) designing, validating and testing your application, and (3) ensuring your application meets applicable standards, and any other safety, security, regulatory or other requirements.These resources are subject to change without notice. TI grants you permission to use these resources only for development of an application that uses the TI products described in the resource. Other reproduction and display of these resources is prohibited. No license is granted to any other TI intellectual property right or to any third party intellectual property right. TI disclaims responsibility for, and you will fully indemnify TI and its representatives against, any claims, damages, costs, losses, and liabilities arising out of your use of these resources.TI’s products are provided subject to TI’s Terms of Sale or other applicable terms available either on or provided in conjunction with such TI products. TI’s provision of these resources does not expand or otherwise alter TI’s applicable warranties or warranty disclaimers for TI products.TI objects to and rejects any additional or different terms you may have proposed.Mailing Address: Texas Instruments, Post Office Box 655303, Dallas, Texas 75265Copyright © 2022, Texas Instruments Incorporated。

摩尔条纹 python

摩尔条纹 python

摩尔条纹 python摩尔条纹(Moiré Pattern)是一种常见的视觉现象,它产生的原因是由于两个或多个具有规则或周期性结构的图案叠加在一起,形成了新的图案。

Python作为一种强大的编程语言,在图像处理和模式生成方面有着广泛的应用。

本文将探讨如何使用Python生成摩尔条纹,并介绍一些相关的技术和应用。

一、摩尔条纹的生成原理摩尔条纹的生成原理可以通过空间频率重叠的原理来解释。

当两个图案具有相似的空间频率时,它们在叠加时会产生干涉,从而形成摩尔条纹。

比如,当两个正方形网格相互叠加时,就会产生明暗相间的条纹。

在Python中,可以通过使用Matplotlib库和NumPy库来生成摩尔条纹。

Matplotlib库提供了丰富的绘图功能,而NumPy库用于进行数组运算和数值计算。

二、生成简单的摩尔条纹下面我们将使用Python生成一个简单的摩尔条纹示例:```pythonimport numpy as npimport matplotlib.pyplot as plt# 定义两个正方形网格的空间频率freq1 = 10freq2 = 12# 生成x、y坐标网格x, y = np.meshgrid(np.linspace(-1, 1, 500), np.linspace(-1, 1, 500))# 计算两个正方形网格的干涉图案pattern = np.sin(2*np.pi*freq1*x) + np.sin(2*np.pi*freq2*y)# 绘制摩尔条纹图像plt.imshow(pattern, cmap='gray')plt.axis('off')plt.show()```以上代码首先定义了两个正方形网格的空间频率,然后生成了x、y 坐标的网格。

接着,通过计算两个正方形网格的干涉图案,生成了摩尔条纹的图像。

最后,使用Matplotlib库中的imshow函数绘制了摩尔条纹的图像。

拟黑多刺蚁肌细胞增强因子2_MEF2_生物信息学分析解读

拟黑多刺蚁肌细胞增强因子2_MEF2_生物信息学分析解读

拟黑多刺蚁肌细胞增强因子2 WORD文档使用说明:拟黑多刺蚁肌细胞增强因子2 来源于本WOED文件是采用在线转换功能下载而来,因此在排版和显示效果方面可能不能满足您的应用需求。

如果需要查看原版WOED文件,请访问这里拟黑多刺蚁肌细胞增强因子2 文件原版地址:/d1dd5df7170b1a40fffdaf26.pdf拟黑多刺蚁肌细胞增强因子2|PDF转换成WROD_PDF阅读器下载昆虫知识 Chinese Bulletin of Entomology2010, 47(5):881 ~ 885拟黑多刺蚁肌细胞增强因子 2 ( MEF2)生物信息学分析 * 郭新军(1. 陕西师范大学生命科学学院西安 1, 2奚耕思1? ? 西安 710065 )710062 ; 2. 西安文理学院生命科学系2 ? Bioinformatics analysis of MEF2 gene of Polyrhachis vicina. GUO Xin-Jun 1 ,, Geng-Si1 ?( 1. College of XILife Science, Shaanxi Nomal University,Xi ’an an University of Arts and Science,Xi’ Abstract710062, China; 2. Department of Life Science,Xi ’an710065,China)The analytical tools NCBI,ExPASy and CBS wereadopted to analyze the bioinformatic properties ofthe PvMEF2 protein,such as sequence characteristics,physicochemical properties,structure and functional domains. The results show that PvMEF2 has conserved MADS and MEF2 domains and that its physicochemical properties, secondary and tertiary structures are similar to those of the MEF2 protein of Drosophila melanogaster. PvMEF2 protein may play an importantrole in myogenesis in Polyrhachis vicina Roger. Key words Polyrhachis vicina, myocyte enhancer factor 2 ( MEF2), bioinformatics analysis摘要ExPASy 在线核苷酸序列分析工具、 CBS 生物学序列分析工具及应用 NCBI 上的常用程序、SABLE 在线分析软件等对拟黑多刺蚁 Polyrhachis vicina Roger 肌细胞增强因子 2 ( PvMEF2 )进行了生物信息学分析,获得了 PvMEF2 因子的序列特征及理化性质,并对其结构和功能结构域进行了预测。

高分子溶液的相平衡

高分子溶液的相平衡
DGM-j2关系曲线与x和c1
的大小有关, 当x一定时:
当c1 < c1C 或 T > TC时 当c1 = c1C 或 T = TC时 当c1 > c1C 或 T < TC时
DGM/RT
0
j’ ja j2 jb j” 1.0
DGM/RT
当c1 > c1C 或 T < TC时
曲率半径大于0
体系为均相
路漫漫其修远兮, 吾将上下而求索
Discussion 1
路漫漫其修远兮, 吾将上下而求索
(1) 从纵轴的截距可求聚合 物的相对分子质量
(2) 从直线的斜率可计算第 二维利系数
c
Discussion 2
The second Virial coefficient
A2与c1相似,也是高分子与溶剂分子间相互作用
的反映,但A2可以直接从实验中得到。它们都与 高分子在溶液中的形态有密切关系。
路漫漫其修远兮, 吾将上下而求索
良溶剂
溶剂
劣溶剂
c
A2 > 0 A2 = 0 A2 < 0
线团扩张 无扰线团 线团紧缩
温度与A2的关系 A2
0
对于同一高分子-溶剂体系, 改变体系的温度, 则有:
T
A2 > 0 A2 = 0 A2 < 0
良溶剂 线团扩张
溶剂 无扰线团
劣溶剂 线团紧缩
路漫漫其修远兮, 吾将上下而求索
3.3.2 相分离
高分子溶液作为由聚合物和溶剂组成的二元体系 , 在一定条件下可分为两相, 其为一相为含聚合物 较少的“稀相”, 另一相为含聚合物较多的“浓相”, 这种现象称之为相分离
对于聚合物和溶剂都确定的体系, 相分离发生与 否同温度有关

HIMA模块F6217全解

HIMA模块F6217全解

HIMA F6217输入模件HIMA 8通道模拟量输入模块模件F6217(询:158 05 06 1213-李工)HIMA 数字输出模件模块F3330,HIMA 16通道输入模块模件F3236HIMA F3330 98 4333002 8channel safety-related output module, 12 W, SIL 3/Cat.4 HIMA F6217 98 4621702 8channel safety-related analog input moduleHIMA F3236 98 4323602 16channel safety-related digital input module, SIL 3/Cat.4MIDLAND-ACS品牌型号2FRMSV082A 规格:FILTER AND REGULATOR,W.P. 0 to 8bargFOERSTER配件2.891.70-0110stenflex valveModel:GR-SAE DN80 PN16 siehe Email-Anhang 1,2品牌:GAI调制解调器CTC GTRFP6972直流电源GTRFP6019-005 LE200-RM供电单位DC48V电话模板305-001 LINE BALANCE ASSEMBLY GTCNuova FimaPRESSURE GAUGE 1/4''NPT FEMALE卡特喷油器1774754Funke&Huster警灯SLD1>22200403STONEL限位开关QN44D03SRA-PTYC1STONEL限位开关HK4077SR-PTYC3STONEL限位开关HK4077SG-PTYC4VSE VS1-EP012V-32N11/4(10-24vDC)脉冲电磁阀 GOYEN 08/13 CA102MN040-305 2253凯比特安全带1111632,大号各配一条1342125双钩减震安全绳Qualitrol092-300-01model:CAS-724-5+FLA-644-1+GASO46-6Qualitrol092-300-01model:CAS-724-7+FLA-644-1+GASO46-6SALA索拿座式安全带1111621UE压力开关J120-191 XY350阿普顿 ip56/EXDIIBT4\AC125V\20A\EFSR-2023Italvibras 电机 MVSI-15/400-S02orga34B12285 (010093)斯贝克 SPECK泵 NP10/6-160(黄铜泵头)巴马格GMD301D-40-100zGMD61D-40-100zCOMARK品牌,探头K/R.S.T.P.2DET-TRONICS三频红外火焰探测器X3301A4N13Y2 28套带支架杰斯曼 F.NO.0209757/6-12型号:S2T-05RP-0106161STAHL防爆插头 :8579/12-406,4P,63A 20个防爆等级:EEx de IIC T6,IP65,STAHL本迪克斯空气压缩机 065638 序列号 1A3008T罗斯蒙特 3051TG4A2B31AB4K5罗斯蒙特 3051TG4A2B31AB4K5品牌:迪创紫外线测试灯(测试感光探头用)Ultraviolet Test Lamp型号:W8066CAT蓄电池9X9720AMCO VEBAV825 6SKEMPER5" FIG 1002 HAMMER UNION MALE BULL PLUG W/BULL PLUG,KEMPER, PN:1205MBAORGASS24EX EXT.PHOTOCELL ASSEMBLY,P/N:30T24020,ORGA,设备信息:TAG NO:WZ11-1A-LD-FOG,雾笛系统,S/N:1140,输入电源:220VAC,输出电源:24VDC,电池:1.2V,MANUFACTURER:ORGAMALLARDItem1: 5450-1F1MG36RV-13QItem2: 5450-1F3MG36RV-13QMcDanielMcDaniel GFS-B-GFMcDaniel KDP-GFMcDaniel KFP-GFMcDaniel压力表KDL-GFMcDaniel E6KP-GFMcDaniel压力表E6KP-GFMCDANIEL KPP-GFMCDANIEL压力表KPP-GFMCDANIEL压力表BQP-GFMCDANIEL压力表BPP-GFMCDANIEL压力表EFP-GFMCDANIEL压力表K6KP-K-GFMCDANIEL压力表KFPK-GFMCDANIEL压力表KQP-GFMCDANIEL压力表EQP-GFMCDANIEL压力表EPP-GFMCDANIEL压力表HPK-GFHNP-GFHIP-GFEGPK-GFEPPK-GF美国VERSA电动阀VSG-3501-U-XMFG-D024MSO3-3-316E5SM-3201-34-XX-D024BAA-3309-900-SVERSA 电磁阀CSG-4332-ETM-GL14-E220CGG-4332-ETM-GL14-E220P-2002-02-XMAA-D024CGS-3331-316-NE3-HE-XMAA-D024`CONTROLLI`valve actuators SH522 SH222 SH242 MVL26 MVL36 MVL46 MVL56 MVL36A MVL36C MVL46C MVL46A MVL56A MVL56C MVL46A MVL56FAPS27 modulating actuat 马达驱动器阀门执行器 SH522 24VAC MVL46 24V MVL56 VSG80 VSG125 MDL44PA4PS1 MVB46 MVL56A MVL56FAPS27 MVL56 M453Y-A10 MVL26 8800460000 MV15B-230 8800462000 MV15B-24 8800430000 M700-SRSU 8800440000 M700-SRSD球阀 DN125 DN80 SH522 VBS50 DN50 PN25 VMB2 VMB4驱动器MVA23 VMB4 MVB56探头TU-D21 TU-D22品牌:VERSAP/N: VSG-3521-316-E14-XMAF-D024J/N: 234039-7-1电磁阀阀体品牌:versa,备件号:E-3198-23-XIFA-D024,24VDc,0.8W,IP66&IP67,EX II 2 G EEx ia IIC T4../T6品牌:VERSAP/N: VSG-3521-316-E14-XMAF-D024J/N: 234039-7-1压力是40-175PSI;2.8-12bar;BEVEL HELICAL GEAR BOX 减速箱; i=178.5 B3 A303 UH35F1(2)C 178.5 P90B TESCO 9070DITTEL DITTELM6000;:SN:0907-56130907-5613ART-NR:F61001PN:837-1/0A耐驰 NM038-01L/NEMOLAST#S65L胶套suntes三阳制动器DB-4032EF-70suntes三阳刹车片DBE-3225-109ED0415CHN- Baldor motor M3610T-57美国LEESON利森电机C6C14FB6FD661-2503/H30KOGMJNSF2 MOOG美国LEESON利森电机C6C14FB6H1/3HP..25kW.1425RPM.56.IP54./V.1PH.50HZ.CONT.NOT.40C.1.0SF.RIGID.50 HERTZ.C6C14FB6H泰科水雾报警控制屏 T1000音达斯电话机 9DA004/2515451221545124美卓定位器ND9106/K05带4-20mA位置反馈美卓定位器ND9106HN/K05带4-20mA位置反馈泰科火焰探头 601F-M 516.600.007泰科烟雾探头 601P-M 516.600.201泰科508.023.003 T1204泰科T1216泰科516.600.007 601F-M泰科516.600.201 601P-MMEDC防爆喇叭DB3BMEDC防爆喇叭DB3PD048N2BPNNELOMEK瑞士产吸门器GPT 24VDC 650N Art.nr:7150012UFM流量计MN-DSF200LM-16-1050V.9-A2WL-ST-105DSAC S02SLP30500本特利330103-05-30-10-02-05DERRICK 挂钩14611-01意大利UDOR GC26/20SVICTRON Skylla-TG 24/50VICTRON 90-265VAC (part# SDTG2400503FMC M0405这个型号泵的柱塞p/n P517601德国微浪量子管通环DN400 1000t/H博世BOSCH的水箱0392003065VERSA电磁阀CAG-3321-316-356B-B108-D120VERSA电磁阀CAG-3321-316-356BN-ST-XX-D110TDI空调T306-60017-01RTDI空调T30I TURBOSTARTINGERSOLLRAND气动马达M007RHR275BR6本特利330130-080-00-05waukesha呼吸器305955A本特利330180-91-05SAC S02SLP24540IPC coupling (motor-motor)1050G20 074066-009 威格士线圈 220V50, PN 507826BOPP&REUTHER VALVE SI9104LAB00/36.0CONTOIL VZO 40 FL 180/25ELOMEK瑞士产吸门器GPT 7150012CONTOIL VZO 25 FL 180/25Eltra编码器EH80P1024S5L14X3PRGARLOCK 密封MEC05-10161差压变送器0-2.5BAR,24V,4-20MA IP66本地克斯干燥器总成AD-1pMARZOCCHI ALP1A-D-4-FGSWAGELOK世伟洛克SS-8F-K4-60VARCO华高配件30158011罗斯蒙特变送器 1151LT4SGOQ52DM4压力变送器3051, 25mpa24V4-20mA,IP66VARCO华高配件114375-1压力变送器3051: range:0-16MpaNACHI不二越液压泵PVD-1B-32BP-14G5-4522H JABSCO 24伏水泵 31600-0094OMFB泵 DARK 60 ISO 108-005-05921SETTIMA泵GR32SMT16B75LRF2SMC ISE40A-01-R-M-X501德威尔差压开关1823-10CO2 RELEASE INHIBIT PUSHBUTTON GHG4118201R1432 CAT:卡特油漆3334910DITTEL电机BA320DF20038eltra编码器 EAM63DR4096/4096GB/28PPX10X3PER DENISON T6CM B12 2R00 B1MARL 253-993-64-388-48VAC/DCELTRA编码器EAM63DR4096/4096GB/28PPX10X3PER罗斯蒙特压力变送器\差压变送器\LT3401-1\3051CD2A22A1AB4E5M5 0~8KPa罗斯蒙特变送器\压力变送器\PT2004\3051TA3A2B21AB40~5MPa罗斯蒙特压力变送器\差压变送器\DPT001\0-248Kpa,型号3051S2CD3A2B12A1JB4D1E1M5Q4Q8T1 1199DDB52ARTW30DAA1GT4罗斯蒙特压力变送器\压差变送器 \3051CD2A22A1AM5B4DFE5罗斯蒙特压力变送器\型号:3051TG4A2B21AB4E5DF罗斯蒙特压力变送器\压力变送器\PT2006\3051CG2A22A1BBAL4 -10~50KPa 罗斯蒙特压力变送器\压力变送器\PT2408\3051CG4A22A1BBAL4 0~1.0MPa罗斯蒙特压力变送器\压力变送器\PT001\3051TG3A2B21JB4E8Q4Q8M6T1、量程:0-5000Kpa罗斯蒙特压力变送器\液位遥测\3051CG2A22A1AB4E5M5DF;描述:4-20mA HART 取压接口1/2FNPT;导线接口1/2FNPT;带B4安装支架;校验量程:-30~30KPaG;SN:8604804压力变送器\压力变送器\PT3205\3051GP2A2B21AB4E5M5 0~1MPa4~20mA 户外型压力变送器\压力变送器\PT3203\3051GP4A2B21AB4 0~10MPa4~20mA 户外型ELTRA编码器EAM-63-DR-4096/4096-G-8/28-PP-X-10-X-3-PE-RCAT卡特油水分离器 308-7298eltra编码器EH80P1024S5L14X3PReltra编码器EH80P1024S5L14X3PRVARCO顶驱配件98898VARCO顶驱配件98898+30ASCO电磁阀EFHT8003G1,件号:312192,电压是24VAutronica探测器BF-502/EX凯士林kissling继电器26.56.03.904能美烟感FDK38ZZ能美烟感JTY-TM-NSD008SWEP B12MTX30Autronica探测器WBJ-5/046metre烟雾探测器入门包SoloSolo气溶胶烟雾250毫升5马丁戴克汽油 w15-1加拿大canrig顶驱配件SD1-1254-D1N加拿大canrig顶驱配件SD1-1266-D1N加拿大canrig顶驱配件SD5-1009-D1D加拿大canrig顶驱配件SD1-1159-D1N意大利CASAPPA凯斯帕的油泵KP20.11.2DO-82E2-LEA/EA-N-BZ-AVBelzona船用急救箱LB5831加拿大canrig顶驱配件SD5-1010-D1D加拿大canrig顶驱配件SD1-1157-D1N阿特拉斯的风扇总成1613 8532 10EPCOS电容B43564-S9378-M1 \400VEPCOS电容B43564-S9618-M1 \400VCONTROLLI水阀执行器SH522E+H压力变送器PMP71-GB1IS21CNAAA 0-4MPACONTROLLI水阀执行器MVH56CONTROLLI水阀执行器MVB56凯士林kissling继电器26.56.03.904 , 300A 24V加拿大canrig顶驱配件JAHNS MTO-4-4-AVR251加拿大canrig顶驱配件STARTER T306-60017-01R加拿大canrig顶驱配件SPX-GS18A09-E3风阀执行器平均扭矩10NMSA06N09-VCONTROLLI MVB56美国猫牌CAT柱塞泵2537美卓定位器ND9106HNT/K05康士廉SALWICO VDT-1康士廉SALWICO SOLO 33康士廉5100509-00A康士廉NS-AUV 为N11121康仕廉报警按钮5200030-01A熊猫发电机PVMV-N10000NEDET-TRONICS 火焰探测器X3301A4M14T2康仕廉探头1115威创传感器5093BPS康仕廉探头N1105康仕廉探头N1121康仕廉探头5200402Yoshitake GD-200H 80ACooper Crouse-Hinds VMH 3L2TWR3/UNV1S903Yoshitake GD-200H 100ASAILOR RT6222SAILOR RT4822Yoshitake GD-24 40A美国福禄克毫安级过程钳型表Fluke773CHNPV450MSTDV PV450MSTDNVBES516-300-S249-S4-D MURPHY LS200 MURPHY LS200NDVO MURRPHY L1200NDVO MURPHY LM301Akron铜喷嘴No:3022 A25CN-9001 irestone橡胶减震弹簧W22-358-0176 HSU-1101-J-35布赫泵QX62-080/51-080R257 150psi,5-1/IN.L,20scfm 布赫泵QX62-080/51-080R257MSE05-3-113-F04-2A50-0000 CRNE15-2 MDT422F-1/2-3.5C-15/46-AMDT422F-1/2-2C-32/46-A标准液阀EXV065 美国威肯SG-0722-G0O 9604-1421 TOP-2MY400-210HBM-2VD-1L 电磁保压阀美国ALKON375-02-087-82-5 AL70PDSAT626 KEYSTONE蝶阀3寸型号AR1 5241840301 防爆火焰探测器 FL4000HDM-TV6 丹麦SAILOR SP3520双向无线电话锂电池液压油缸 DESTACO039-101-000DE D634-501A D662Z4310ZWE-518-03 密封脂 735-D 密封脂 731-D SZL-WL-P 挪威DNH 全天侯定压式号筒扬声器 DST-100光电开关05P700 ASI控制器AC1335 NWOP30R-31ZSPE 软管85563310 道茨计量泵D-100N-70/B-13白色多通道模块EXV054 B2F020电源卡德国(乐凯)lukas液压机动泵P620SG V18345-1017421001消解管BBK036 DLO1191已停产更新为FDL241-9-CN ACB-2UA571W 滤芯滤芯P780522 D661-4651FD31B-BY-IM10-1J-IM10-BY 油冷却器54754809 超级冷却剂38459582p-56-393TI ASFD-60活塞EZZ071 MDT462F-1/2-5C-15/46-B171-A ACB-2UA423W PV180R1K1T1NMRC 冬斯DMV-D5050/11FLOWSERVE 3200IQ-15-D6-E-04-40-06-00 FLOWSERVE LogiX500Si/510Si-15-YIDEE-00011056-01-20-38AN 400-12-60 977220 969474 海迪瑞克RC203油管计数器112835-001W2S130-AA03-01 液压马达(KINSSON)&FME-2F-B 防护位置开关 2DR-200D-EAA ALS-200D A00970-F169-5847PINION SHAFT ID 551-201-01 BULL GEAR ID 551-200-01 美国艾法斯2399B频谱分析仪 TYPE S105G12T四联同步马达(KINSSON)&VTX-M4C-B0-N型铸铁壳体 T67DB-028-B09-1R00-A100 630Z067A 德国莱驰切割式研磨仪 SM300年维护组件TOS-X 伊顿液压马达104-1385 2K-100 T6C-005-1R00-B1 D634-501A 410867N SS-26VF8INA 滑块 RWU45-E-HL OEG2V3 P203-8XC-1K7-24-2A1.01-5V10-SSV6N model24-50 25.11009915.01.0014.10.08A10VS071DFLR/31R-VPA12N00 PV180R1K1T1NMRC T67DB-028-B09-1R00-A100T6C-005-1R00-B1 6SE7038-6GK84-1GG0VCS21-4G-5-02-X38 Akron铜喷嘴3022 WITCH辅助刹车静盘1-800-964-3262 奔驰配件 A000 270 18 52米其林 525/65R20.5 XS A100-F-R-01-H-S-K-60 Wolflite防爆手提灯H-4DCA ASFD-60 滤芯P164378油封NATlONA;410867 神钢SHINKO电磁式离合器JCC-20 VCS21-4G-5-02-X38 666322-EEB-C 52056GY20美国Krebs进口旋流子 U6-gmax-3035聚氨酯 D685-4727D D664-4303K salisbury手套E418RB E418B14564635 W5TZ4V100-24C SM125-230-20 RESQMAX RSQ452RC260-DAACTUATORF12/F10-27 泰科T1216阀门定位器//Fisher DVC2000 德力西电磁阀 4V210-08 forsheda油封v-14A CR14846 ZNA-204-KADET-TRONICS火焰检测装置X3301A4N13W2 CPM2AH-40CDR-A 摩菲显示仪表PV450 ZNA-205-PIABCC M415-0000-1A-004-PX0334-030 5P3193 BU-100E 205038101NN-EE3-M4-CIA-3-30PSID 6SE7041-8GK85-0HA0PT1MA-40-BK-420E-MC4-SG PGM-1860 HMB150/S3/S04/70 HMC200/S3/S04/70 NATIONAL 455134 6SY7000-0AB18ZM2202-S7+100 BSS-310A VOE-B VOE-B/6/P VOE-B/8/P VOE-B/10/P 205038 QX62-080/51-080R257ER-L-130B-BS-31-20-NN-N-3-S1CP-A1N-AAA-NNN-NNN 1xPT100/4-L CL.A K1W 哈威 R 10,9A 6SY7010-0AB6667731158 67731166 4.1S Y0430-LEFT.ASM PT4626-35-6/18 1747-L532H250/RR1/M9 限位开关14CE2-1JS22LB5W-3ZP-A050P134 MDT422F-1/2-2C-32/46-ATDT432F-1/2-5C-32/46-S137-A MSE05-514*2 6SY7010-0AB65美国BUSSMANN变频器170M7060 1400A700V GREASE1140H弹簧 GREASE1150H弹簧电子测温枪RAYST60XXAPFinder继电器 26.01.8.024.0000 17Q10L56 0820 022 034 OLAER奥莱尔蓄能器EHV 20-330/90科勒起动机2509811 IPH-2B-6.5-11 UWI-200 G4020-SR4-CW-MG24 KTA7-45H-32A KTA7-25H-25ADMIC的DPG200.58KC DPG201.71KC LTMR100PFM LTMR08PFM 博士启动器0001417055 VZO 25 RC 130/16-RVRELAY SOCKET\S10\RELECO RELAY\C10-A10X\AC230V\RELECO92-1600-11300-532 1700I12ABFMZZZND9103HNT IP66/NEMA 4X S-216-JB-35 MTO-4-35-EA9-Viton MTO-4-5-G [FMC-4C-G A3194020075A009154070280 A0004214286 A0015457409 A0004301602 A0040910501A9042000004 A0015450908斯普雷彻断路器 KTA7-45H-25A Q-RAA080AS ND9102HU1T B1CU6 17Q10L56A6684204985 A90199000471896604 1883504 1896203 1885203 BEM805-A-2 PHFSM-0400-0640-BN42 PHLSM-0400-0640-BN41德国施迈赛行程开关 ZS336-11Z-M20 3051CD4A22A1AB4M5I1051CD3A22A1AB4M5K5 3051TG4A2B21AB4M5Bussmann 350amp 232P43C6HR 压力控制器 132P49C6H 压力控制器132P41C6H 压力控制器A9042001122 A0022506615 A024********* A0015458409PLP20-20D0-31S1-LGE/GD-N-EL 510-ARC-S45罗茨马达FDRA020314WVB 手持式WPT-500露点仪 B724BXFS-100KPA/100KPA systech gaspaceFMB53-AA21JA1HGD15B2AAK Smc滑台气缸MXS8*10A D31FHE01C4NB00TS-G03-4CP-H-24V GXS20/BGM7PLM112RB14S2/340 11089421 UltraStudio Pro SV806F30T 5SV08F0115SV08F011 FHE 32-200/40/P美国BUSSMANN变频器170M7060 1400A700V A121AC230R PVW-PW-30 PFG-218/RO RVI58N-032AAR61N-01000DET-TRONICS可燃气体探头 X3301A4N13Y2 U9500A1004 U9500A1004 SEWMM11C-503-00A121AC230R SETTIMA 螺杆泵 GR40SMT16B125L PV101-C-M02 PFG-218/D21158-1807 21158-2168SEAL, OIL, MECHANICAL, FRANK MOHN, 3036340 2649-A-GR-N-000-22AAA-AR2 GSR 电磁阀 K0510390cs-pF7217SL 7.2V 2200mAh bently 177230-02 TH180/650+179 SGL502/450-X+176 FMB53-AA21JA1HGD15B2AAKscanwill斯堪韦尔 MP-2000-S-1 FMU90-R11CA232AA2A-FDU92FMB53-AA21JA1HGD15B2AAKTransmitter 0-16BAR S#1102NVKW P#9021248 卡特 163-7882 油枪快速接头CEJN525 6209FMR230-35ECXJAC2A TOP-2MY400-210HBM-2VD-1L(TROCHOLD 接头 2616847 便携式电焊机(440V) UNITOR UWI-200TOP-2MY400-210HBM 22212C SEW电机S47DRS90M4BE2HR 传感器 2616848 油枪快速接头CEJN525 12094WRLE16V120M-3X/G2410G/AIM 4WRPEH6C3B12L-20/G24Ko/AIMIMGA 滤芯柴油格P551712YUKEN 油泵 PV2R2-41-F-RAA-41 T21-DF6D-00/EAC-8A-00-2 103W1-K202-N4-C1A 4WRPEH6C3B12L-2X/G24K0/A1MWURTH伍尔特069900214 RIDGID里奇三角架式链虎钳460-6 博世电机012046998 m4pv50-50s225ar6by2640ABYN0CS02AAA-AR2 MXV50 /1610 CTM61 AT.GS950116 NP25/41-170RE 流量计变送器RHE14T1D1I2NRF3-1-EPT2-NM-N-1-1-0/KS100-1 JOTRON TR-7510 Smc滑台气缸MXS8*10A 真空传感器PTX1400C-15压力变速器PTX1415C-4228 PTX5072 平衡轴防尘油封8E5450 0型圈3D8422 排气大弯管7E5287 FMR230-35ECXJAC2ARBFPF400237 RBFPF200186 AMERON 胶水PR-34C EP转换器 3460565500 HEDE10A1-1X/250K41G24/V/*R9007730242640AGRN0CS02AAA-AR2 WDXL-125SG DOSEURO 添加泵 D-100N-105/C-13 KOBOLD 柯宝德流量计型号是NBK-R-MMN-DSF250LN-16-320CS.9-A2WL-ST-121D 泰科烟感9009 烟感底座9011 9003 2401TC20MCBSTT瑞士GF546手动球阀 FISHER上密封环垫片10A3525X042 0S00038924 SALA的安全带1108125FISHER下密封环垫片11A9521X052 DOSEURO 添加泵 D-100N-105/C-13LOGIX3200IQ-15-D6-E-04-40-KS-OFETS1701-100-000 EDS3346-3-0016-000-F1 EDS3446-3-0250-000 NORGREN型号2623077-3032DC24VAkron铜喷嘴,型号No:3022 減速箱TIGEAR*7916121AS/MR94751 4寸胶皮NF-4-I 道依茨启动马达0118303990R075-KA-5-CD-80-L-3-C7-E-03-GBA-42-42-24 HOSE,SEATRAX INC,06-190 31030 W3180N16Transmitter 0-16BAR S#1102NVKW P#9021248 DVC6020 150P711 525/65R20.5 摩菲 LM301LCM1-1TYD EVT-C8VZY WAR114ML4 瑞士GF546 DVC6010 148S1298 GBS2000 CL250 OST-S6-5-68018422MNAV 1800NBV AROX LC-3800 林肯泵2391 20000psi LPDD350B 德科瑞美的 3921402。

美的MV22系列智能摄像头产品介绍说明书

美的MV22系列智能摄像头产品介绍说明书

Product Highlights• Varifocal lens, dome camera with 36-112° horizontal FoV • Intelligent motion indexing with search engine• Built-in motion analytics like Motion Search, Motion Recap, and Motion Heatmaps• In-camera machine learning capability for intelligent object detection• No special software or browser plugins required• Cloud-augmented edge storage minimizes physical infrastructure • Meraki dashboard simplifies operation• Secure, encrypted control architecture and storage• Secure boot and signed firmware backed by hardware security chip• Granular user access controls• Integrated 802.11ac wireless for easy upgrades from analog • IR illumination up to 30m or 98ft• Suitable for deployments of all sizes, 1-10,000+ camerasThe Meraki MV22 series, part of the MV smart camera family, brings physical security and advanced analytics together in a dome form factor suitable for a variety of deployments. The built-in powerful processor and innovative edge architecture minimizephysical infrastructure and software requirements. MV22 smart cameras ensure physical safety and security while providing business intelligence, all in a refreshingly simple package.OVERVIEWAs with the rest of the MV lineup, the MV22 series places high-endurance storage locally on the camera, removing the Network Video Recorder (NVR) and Video Management System (VMS) from the equation. Not only does this drastically simplify both installation and scaling, but it also eliminates a major network security vulnerability in IT infrastructure.MV22 series cameras are equipped with an industry-leading processor, and have a 4MP sensor for recording in up to 1080P. The processor powers advanced analytics capabilities thatpreviously required specialized software and heavy-duty hardware. Harnessing the power of machine learning for computer vision,MV22 can do real-time object detection, classification, and tracking. This compelling insight lays the foundation for more effective and efficient processes, like journey pathing, and safe working practices.MV22 cameras are varifocal dome cameras, capable of up to 3x optical zoom. The adjustable field of view provides flexibility to cover wide areas for context, or focus up close to get details of smaller scenes. This, combined with an attractive industrial design and easy installation makes it a natural fit for a variety of indoor applications.MV22: SECURITY AND ANALYTICSMV22 Cloud-ManagedSmart CamerasCamera1/3” 4MP (2688x1520) progressive CMOS image sensor256GB high endurance solid state storage (MV22)512GB high endurance solid state storage (MV22X)3-9mm focal lengthf/1.2-2.3 apertureField of view: Horizontal 36-112°, Vertical 20-57°, Diagonal 42° - 138°Lens adjustment range: Tilt: 65°, Rotation: +/- 90°, Pan: 354°1/30s to 1/32,000s shutter speedMinimum illumination 0.18 Lux (standard recording) and 0.01 Lux (night mode)Built-in IR illuminators, effective up to 30m (98ft)Video1080p HD video recording (1920x1080) with H.264 encoding up to 20fps (MV22)4MP recording with H.264 encoding up to 15fps (MV22X)Cloud augmented edge storage (locally stored video with metadata in the cloud) Optimized retention settings (scheduling and motion-based) for variable retention Up to 90 days (MV22X) 24/7 continuous video storage per camera*Direct live streaming with no client software (native browser playback)**Stream video anywhere with automatic cloud proxyHigh dynamic range (HDR)Audio recording supported with built-in microphoneNetworking and Wireless1x 10/100/1000 Base-T Ethernet (RJ45)DSCP traffic markingSupported frequence bands (country-specific restrictions apply):2.4 GHz 802.11b/g/n radio2.412 - 2.484 GHz5 GHz 802.11a/n/ac radio5.150 - 5.250 GHz (UNII-1)5.250 - 5.350 GHz (UNII-2)5.470 - 5.600, 5.660 - 5.725 GHz (UNII-2e)5.725 - 5.825 GHz (UNII-3)1x1 with one spatial streamMU-MIMO support20 and 40 MHz channels (802.11n)20, 40, and 80 MHz channels (802.11ac)Up to 256 QAM on both 2.4 GHz and 5 GHz bandsIntegrated omni-directional antennas (4.4 dBi gain at 2.4 GHz, 6.3 dBi gain at 5 GHz) 2.4 GHz Bluetooth Low Energy (BLE) radio PowerPower consumption 12.95W maximum via 802.3af PoEEnvironmentTemperature: 0°C - 40°C (32°F - 104°F)Data and Network SecurityFull disk encryption (AES 256-bit)Automatically purchased and provisioned TLS certificates (publicly-signed) Management encryption and two-factor authenticationWireless security:WPA, WPA2-PSK, WPA2-Enterprise with 802.1X EAP-TTLSTKIP and AES encryptionPhysical CharacteristicsDimensions 149mm x 97mm (diameter x height)Weight 706gFemale RJ45 Ethernet connectorMulticolor, multifunction status LEDReset buttonWarrantyWarranty 5 year hardware warranty with advanced replacementOrdering InformationMV22-HW: Varifocal Indoor Dome Camera with 256GB StorageMV22X-HW: Varifocal Indoor Dome Camera with 512GB StorageLIC-MV-XYR: Meraki MV Enterprise License (X = 1, 3, 5, 7, 10 years)MA-INJ-4-XX: Meraki 802.3at Power over Ethernet injector (XX = US, EU, UK, or AU) MA-PWR-MV-LV: Low voltage 12VDC/24VAC input PoE injector for MV camerasIn The BoxQuick start & installation guideMV camera hardwareWall mounting kitNote: Each Meraki camera requires a license to operate* Storage duration dependent on encoding settings and camera storage model.** Browser support for H.264 decoding required.MV22 Camera SpecificationsCiscoSystems,Inc.|500TerryA.FrancoisBlvd,SanFrancisco,CA94158|(415)432-1000|****************2v 1.0。

EMMREML软件说明说明书

EMMREML软件说明说明书

Package‘EMMREML’October12,2022Type PackageVersion3.1Date2015-07-20Title Fitting Mixed Models with Known Covariance StructuresAuthor Deniz Akdemir,Okeke Uche GodfreyMaintainer Deniz Akdemir<****************************>Depends Matrix,statsDescription The main functions are'emmreml',and'emmremlMultiKernel'.'emm-reml'solves a mixed model with known covariance structure using the'EMMA'algo-rithm.'emmremlMultiKernel'is a wrapper for'emmreml'to handle multiple random compo-nents with known covariance structures.The function'emmremlMultivariate'solves a multivari-ate gaussian mixed model with known covariance structure using the'ECM'algorithm. License GPL-2NeedsCompilation noRepository CRANDate/Publication2015-07-2205:52:07R topics documented:EMMREML (2)emmreml (2)emmremlMultiKernel (4)emmremlMultivariate (6)Index91EMMREML Fitting mixed models with known covariance structures.DescriptionThe main functions are emmreml,and emmremlMultiKernel.emmreml solves a mixed model with known covariance structure using the EMMA algorithm in Kang et.al.(2008).emmremlMulti-Kernel is a wrapper for emmreml to handle multiple random components with known covariance structures.The function emmremlMultivariate solves a multivariate gaussian mixed model with known covariance structure using the ECM algorithm in Zhou and Stephens(2012).DetailsPackage:EMMREMLType:PackageVersion: 3.1Date:2015-07-20License:GPL-2Author(s)Deniz Akdemir,Okeke Uche GodfreyMaintainer:Deniz Akdemir<****************************>ReferencesEfficient control of population structure in model organism association mapping.Kang,Hyun Min and Zaitlen,Noah A and Wade,Claire M and Kirby,Andrew and Heckerman,David and Daly, Mark J and Eskin,Eleazar.Genetics,2008.Genome-wide efficient mixed-model analysis for association studies.Zhou,Xiang and Stephens, Matthew.Nature genetics,2012.emmreml Solver for Gaussian mixed model with known covariance structure.DescriptionThis function estimates the parameters of the modely=Xβ+Zu+ewhere y is the n vector of response variable,X is a nxq known design matrix offixed effects,Z isa nxl known design matrix of random effects,βis qx1vector offixed effects coefficients and u ande are independent variables with N l(0,σ2u K)and N n(0,σ2e I n)correspondingly.It also producesthe BLUPs and some other useful statistics like large sample estimates of variances and PEV.Usageemmreml(y,X,Z,K,varbetahat=FALSE,varuhat=FALSE,PEVuhat=FALSE,test=FALSE)Argumentsy nx1numeric vectorX nxq matrixZ nxl matrixK lxl matrix of known relationshipsvarbetahat TRUE or FALSEvaruhat TRUE or FALSEPEVuhat TRUE or FALSEtest TRUE or FALSEValueVu Estimate ofσ2uVe Estimate ofσ2ebetahat BLUEs forβuhat BLUPs for uXsqtestbetaχ2test statistics for testing whether thefixed effect coefficients are equal to zero.pvalbeta pvalues obtained from large sample theory for thefixed effects.We report the pvalues adjusted by the"padjust"function for allfixed effect coefficients.Xsqtestuχ2test statistic values for testing whether the BLUPs are equal to zero.pvalu pvalues obtained from large sample theory for the BLUPs.We report the pvalues adjusted by the"padjust"function.varuhat Large sample variance for the BLUPs.varbetahat Large sample variance for theβ’s.PEVuhat Prediction error variance estimates for the BLUPs.loglik loglikelihood for the model.Examplesn=200M1<-matrix(rnorm(n*300),nrow=n)K1<-cov(t(M1))K1=K1/mean(diag(K1))covY<-2*K1+1*diag(n)Y<-10+crossprod(chol(covY),rnorm(n))#training setTrainset<-sample(1:n,150)funout<-emmreml(y=Y[Trainset],X=matrix(rep(1,n)[Trainset],ncol=1),Z=diag(n)[Trainset,],K=K1)cor(Y[-Trainset],funout$uhat[-Trainset])emmremlMultiKernel Function tofit Gaussian mixed model with multiple mixed effects withknown covariances.DescriptionThis function is a wrapper for the emmreml tofit Gaussian mixed model with multiple mixed effects with known covariances.The modelfitted is y=Xβ+Z1u1+Z2u2+...Z k u k+e where y is the n vector of response variable,X is a nxq known design matrix offixed ef-fects,Z j is a nxl j known design matrix of random effects for j=1,2,...,k,βis nx1vec-tor offixed effects coefficients and U=(u t1,u t2,...,u tk )t and e are independent variables withN L(0,blockdiag(σ2u1K1,σ2u2K2,...,σ2ukK k))and N n(0,σ2e I n)correspondingly.The function pro-duces the BLUPs for the L=l1+l2+...+l k dimensional random effect U.The variance parameters for random effects are estimated as(ˆw1,ˆw2,...,ˆw k)∗ˆσ2u where w=(w1,w2,...,w k)are the kernel weights.The function also provides some useful statistics like large sample estimates of variances and PEV.UsageemmremlMultiKernel(y,X,Zlist,Klist,varbetahat=FALSE,varuhat=FALSE,PEVuhat=FALSE,test=FALSE)Argumentsy nx1numeric vectorX nxq matrixZlist list of random effects design matrices of dimensions nxl1,...,nxl kKlist list of known relationship matrices of dimensions l1xl1,...,l k xl kvarbetahat TRUE or FALSEvaruhat TRUE or FALSEPEVuhat TRUE or FALSEtest TRUE or FALSEValueVu Estimate ofσ2uVe Estimate ofσ2ebetahat BLUEs forβuhat BLUPs for uweights Estimates of kernel weightsXsqtestbeta Aχ2test statistic based for testing whether thefixed effect coefficients are equal to zero.pvalbeta pvalues obtained from large sample theory for thefixed effects.We report the pvalues adjusted by the"padjust"function for allfixed effect coefficients.Xsqtestu Aχ2test statistic based for testing whether the BLUPs are equal to zero.pvalu pvalues obtained from large sample theory for the BLUPs.We report the pvalues adjusted by the"padjust"function.varuhat Large sample variance for the BLUPs.varbetahat Large sample variance for theβ’s.PEVuhat Prediction error variance estimates for the BLUPs.loglik loglikelihood for the model.Examples####example#Data from Gaussian process with three#(total four,including residuals)independent#sources of variationn=80M1<-matrix(rnorm(n*10),nrow=n)M2<-matrix(rnorm(n*20),nrow=n)M3<-matrix(rnorm(n*5),nrow=n)#Relationship matricesK1<-cov(t(M1))K2<-cov(t(M2))K3<-cov(t(M3))K1=K1/mean(diag(K1))K2=K2/mean(diag(K2))K3=K3/mean(diag(K3))#Generate datacovY<-2*(.2*K1+.7*K2+.1*K3)+diag(n)Y<-10+crossprod(chol(covY),rnorm(n))#training setTrainsamp<-sample(1:80,60)funout<-emmremlMultiKernel(y=Y[Trainsamp],X=matrix(rep(1,n)[Trainsamp],ncol=1),Zlist=list(diag(n)[Trainsamp,],diag(n)[Trainsamp,],diag(n)[Trainsamp,]),Klist=list(K1,K2,K3),varbetahat=FALSE,varuhat=FALSE,PEVuhat=FALSE,test=FALSE)#weightsfunout$weights#Correlation of predictions with true values in test setuhatmat<-matrix(funout$uhat,ncol=3)uhatvec<-rowSums(uhatmat)cor(Y[-Trainsamp],uhatvec[-Trainsamp])emmremlMultivariate Function tofit multivariate Gaussian mixed model with with knowncovariance structure.DescriptionThis function estimates the parameters of the modelY=BX+GZ+Ewhere Y is the dxn matrix of response variable,X is a qxn known design matrix offixed effects, Z is a lxn known design matrix of random effects,B is dxq matrix offixed effects coefficients and G and E are independent matrix variate variables with N dxl(0,V G,K)and N dxn(0,V E,I n) correspondingly.It also produces the BLUPs for the random effects G and some other statistics. UsageemmremlMultivariate(Y,X,Z,K,varBhat=FALSE,varGhat=FALSE,PEVGhat=FALSE,test=FALSE,tolpar=1e-06,tolparinv=1e-06)ArgumentsY dxn matrix of response variableX qxn known design matrix offixed effectsZ lxn known design matrix of random effectsK lxl matrix of known relationshipsvarBhat TRUE or FALSEvarGhat TRUE or FALSEPEVGhat TRUE or FALSEtest TRUE or FALSEtolpar tolerance parameter for convergencetolparinv tolerance parameter for matrix inverseValueVg Estimate of V GVe Estimate of V EBhat BLUEs for BGpred BLUPs for GXsqtestBχ2test statistics for testing whether thefixed effect coefficients are equal to zero.pvalB pvalues obtained from large sample theory for thefixed effects.We report the pvalues adjusted by the"padjust"function for allfixed effect coefficients.XsqtestGχ2test statistic values for testing whether the BLUPs are equal to zero.pvalG pvalues obtained from large sample theory for the BLUPs.We report the pvalues adjusted by the"padjust"function.varGhat Large sample variance for BLUPs.varBhat Large sample variance for the elements of B.PEVGhat Prediction error variance estimates for the BLUPs.Examplesl=20n<-15m<-40M<-matrix(rbinom(m*l,2,.2),nrow=l)rownames(M)<-paste("l",1:nrow(M))beta1<-rnorm(m)*exp(rbinom(m,5,.2))beta2<-rnorm(m)*exp(rbinom(m,5,.1))beta3<-rnorm(m)*exp(rbinom(m,5,.1))+beta2g1<-M%*%beta1g2<-M%*%beta2g3<-M%*%beta3e1<-sd(g1)*rnorm(l)e2<-(-e1*2*sd(g2)/sd(g1)+.25*sd(g2)/sd(g1)*rnorm(l))e3<-1*(e1*.25*sd(g2)/sd(g1)+.25*sd(g2)/sd(g1)*rnorm(l))y1<-10+g1+e1y2<--50+g2+e2y3<--5+g3+e3Y<-rbind(t(y1),t(y2),t(y3))colnames(Y)<-rownames(M)cov(t(Y))Y[1:3,1:5]K<-cov(t(M))K<-K/mean(diag(K))rownames(K)<-colnames(K)<-rownames(M)X<-matrix(1,nrow=1,ncol=l)colnames(X)<-rownames(M)Z<-diag(l)rownames(Z)<-colnames(Z)<-rownames(M)SampleTrain<-sample(rownames(Z),n)Ztrain<-Z[rownames(Z)%in%SampleTrain,]Ztest<-Z[!(rownames(Z)%in%SampleTrain),]##For a quick answer,tolpar is set to1e-4.Correct this in practice.outfunc<-emmremlMultivariate(Y=Y%*%t(Ztrain),X=X%*%t(Ztrain),Z=t(Ztrain),K=K,tolpar=1e-4,varBhat=FALSE,varGhat=FALSE,PEVGhat=FALSE,test=FALSE)Yhattest<-outfunc$Gpred%*%t(Ztest)cor(cbind(Ztest%*%Y[1,],Ztest%*%outfunc$Gpred[1,],Ztest%*%Y[2,],Ztest%*%outfunc$Gpred[2,],Ztest%*%Y[3,],Ztest%*%outfunc$Gpred[3,])) outfuncRidgeReg<-emmremlMultivariate(Y=Y%*%t(Ztrain),X=X%*%t(Ztrain),Z=t(Ztrain%*%M), K=diag(m),tolpar=1e-5,varBhat=FALSE,varGhat=FALSE,PEVGhat=FALSE,test=FALSE)Gpred2<-outfuncRidgeReg$Gpred%*%t(M)cor(Ztest%*%Y[1,],Ztest%*%Gpred2[1,])cor(Ztest%*%Y[2,],Ztest%*%Gpred2[2,])cor(Ztest%*%Y[3,],Ztest%*%Gpred2[3,])IndexEMMREML,2emmreml,2emmremlMultiKernel,4 emmremlMultivariate,69。

隐马尔可夫模型(hmm)的matlab实现

隐马尔可夫模型(hmm)的matlab实现

隐马尔可夫模型(HMM)是一种用于对时序数据进行建模和分析的概率模型,特别适用于具有一定的隐含结构和状态转移概率的数据。

在自然语言处理、语音识别、生物信息学等领域中,HMM都有着广泛的应用。

在本文中,我将向您介绍HMM的基本概念和原理,并共享如何使用Matlab来实现HMM模型。

1. HMM基本概念和原理隐马尔可夫模型是由隐含状态和可见观测两部分组成的,其中隐含状态是不可见的,而可见观测是可以被观测到的。

在HMM中,隐含状态和可见观测之间存在转移概率和发射概率。

通过这些概率,HMM可以描述一个系统在不同隐含状态下观测到不同可见观测的概率分布。

HMM可以用状态转移矩阵A和发射矩阵B来表示,同时也需要一个初始状态分布π来描述系统的初始状态。

2. Matlab实现HMM模型在Matlab中,我们可以使用HMM工具箱(HMM Toolbox)来实现隐马尔可夫模型。

我们需要定义系统的隐含状态数目、可见观测的数目以及状态转移概率矩阵A和发射概率矩阵B。

利用Matlab提供的函数,可以方便地计算出系统在给定观测下的概率分布,以及通过学习的方法来调整参数以适应实际数据。

3. 在Matlab中实现HMM模型需要注意的问题在实现HMM模型时,需要注意参数的初始化和调整,以及对于不同类型的数据如何选择合适的模型和算法。

在使用HMM模型对实际问题进行建模时,需要考虑到过拟合和欠拟合等问题,以及如何有效地利用HMM模型进行预测和决策。

总结通过本文的介绍,我们可以了解到隐马尔可夫模型在时序数据建模中的重要性,以及如何使用Matlab来实现HMM模型。

对于HMM的进一步学习和实践,我个人认为需要多实践、多探索,并结合具体应用场景来深入理解HMM模型的原理和方法。

在今后的学习和工作中,我相信掌握HMM模型的实现和应用将对我具有重要的帮助。

我会继续深入学习HMM模型,并将其运用到实际问题中,以提升自己的能力和水平。

以上是我对隐马尔可夫模型的个人理解和观点,希望对您有所帮助。

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PART IIIEXAMINATION QUESTIONSCHAPTER 2: LOGISTICS AND INFORMATION TECHNOLOGYMultiple Choice Questions1.Which of the following is not a benefit to utilizing information in logistics?a.greater knowledge and visibility across the supply chainb.greater awareness of customer demand via point-of-sale datac.better coordination of manufacturing, merchandising, and distribution throughERP toolsd.more streamlined order processing and reduced lead timee.all are benefits(e; p. 25)2.How do data and information differ?a.data are a body of facts in a format suitable for decision making, whileinformation is simply factsb.they are the samec.data are simply facts; information is a body of facts in a format suitable fordecision makingd.data are associated with decision support systems; information is associatedwith ERP systems(c; p. 26)3.____ provide effective ways to process organizational business data, to performcalculations, and to create documents.a.Enterprise resource planning systemsb.Transaction processing systemsc.Decision support systemsd.Office automation systems(d; p. 26)4.Spreadsheets represent what general type of information management system?munication systemb.transaction processing systemc.decision support systemd.office automation system(d; p. 26)5.The most relevant general software package for logisticians is:a.word processingb.e-mailc.presentation packagesd.spreadsheets(d; p. 26)6.Which of the following is not considered a general software package?a.spreadsheetsb.word processingc.database managementd.presentation packagese.all are general software packages(e; p. 26)7.____ help various stakeholders—employers, suppliers, customers—work together byinteracting and sharing information in many different forms.a.Office automation systemsmunication systemsc.Transaction processing systemsd.Decision support systems(b; p. 27)8.What has emerged as the measuring stock for logistics information technology in the21st century?a.the Internetb.electronic data interchangec.wireless communicationd.enterprise resource planning systems(c; p. 28)9.____ refers to a network of satellites that transmits signals that pinpoint the exactlocation of an object.a.Global positioning systemsb.Geographic information systemsc.Electronic data interchanged.Transportation management systems(a; p. 28)10.Electronic data interchange represents what general type of information managementsystem?munication systemb.transaction processing systemc.decision support systemd.office automation system(b; p. 28)11.____________ refers to the computer-to-computer transmission of business data in astructured format.a.Data miningb.ERPc.EDId.VMI(c; p. 28)12.Which of the following statements about EDI is not true?a.EDI can have high setup costsb.EDI can result in increased inventory carrying costsc.EDI can lead to increased billing accuracyd.The Internet is likely a complement to, rather than substitute for, EDI(b; p. 29)13.Automatic identification systems are an essential component in ____________.a.every warehouseb.point-of-sale systemsc. a logistics information systemd.dual distribution(b; p. 29)14.The most popular automatic identification system currently in use is ___________.a.voice-data entryb.radio frequency identificationc.magnetic stripsd.bar code scanners(d; p. 29)15.Which of the following statements about radio-frequency identification (RFID) isfalse?a.Wal-Mart has been a major catalyst for RFID usage in logisticsb.RFID only offers read capabilitiesc.RFID can store large quantities of datad.RFID has helped to reduce the occurrence of inventory stockouts(b; pp. 29-30)16.There are suggestions that widespread adoption of RFID will only occur when theprice of read-only tags drops below ____ cents.a.15b.10c. 5d. 2(d; p. 30)17.A logistics information system begins with:a. a logistics manager requesting informationb. a good computer systemc.lots of moneyd. a customer order(a; p. 30)18.All of the following statements about logistics information systems are true, except:a.“timely” can refer to the up-to-date status of informationb.internal sources of logistics information are relatively plentifulc.“timely” can refer to how quickly a manager receives requested informationd. a LIS must be concerned with the nature and quality of datae.all of the above are true(b; pp. 30-31)19.The primary advantage of ____________ is that it enables a firm to test the feasibilityof proposed changes at relatively little expense.a.data miningb.expert systemsc.simulationd.benchmarking(c; p. 31)20.Which of the following is not a logistics-related decision support system?a.simulationb.application-specific softwarec.transportation management systemsd.electronic data interchangee.all are logistics-related decision support systems(d; pp. 31-32)21.Warehouse management systems represent an example of what general type ofinformation management system?munication systemb.Transaction processing systemc.Decision support systemd.Office automation system(c; p. 32)22. Which of the following is not a potential benefit of transportation managementsystems?a.Fewer stockoutsb.Reduced fuel consumptionc.Decreased empty vehicle milesd.Reduced transportation expenditurese.All of the above are benefits(a; p. 33)23.____________ refers to the application of mathematical tools to large bodies of datain order to extract correlations and rules.a.Fuzzy logicb.Factor analysisc.Data miningd.Linear regression(c; p. 35)24.____ create and maintain consistent data processing methods and an integrateddatabase across multiple business functions.a.Logistics information systemsb.Enterprise systemsc.Decision support systemsd.Transaction processing systems(b; p. 35)25.Efficient data mining is dependent upon ____________.a.Good forecasting toolsb.Top management commitmentc.High-speed technologyd.Data warehouses(d; p. 35)26.The origins of contemporary ERP systems can be traced back to logistics and____________.a.manufacturingb.marketingc.financed.accounting(a; p. 35)27.Which of the following statements about ERP is false?a.ERP’s origins can be traced back to finance and manufacturingb.ERP implementation costs can easily reach the tens of millions of dollarsc.In recent years, ERP vendors have begun to provide high-quality application-specific logistics capabilitiesd.ERP glitches often have a logistical component to them(a; pp. 35-36)28.All of the following are potential costs associated with ERP implementation, except:a.employee trainingb.upgraded computer hardwarec.data conversiond.system testinge.all are costs(e; pp. 35-36)29.A general rule of thumb is that the actual time to implement ERP systems may rangefrom ____________ to ____________ times longer than the time period specified by the ERP vendor.a. 1 ½ ; 2b.2; 3c.2; 4d.3; 4(c; p. 36)30.Approximately ____________ percent of the world’s population currently uses theInternet.a.15b.25c.35d.45(b; p. 36)31.Which of the following statements is false?a.orders associated with online retailing tend to be for smaller quantities than in-store retailingb.online retailers are challenged by last mile considerationsc.online retailing and in-store retailing experience similar rates of product returnd.online retailing is characterized by open-case, rather than full-case, pickinge.all statements are true(c; pp. 36-37)32.What has emerged as the most popular application of on-demand software (software-as-a-service)?a.Transportation management systemsb.Warehouse management systemsc.Inventory optimizationd.Collaborative forecasting(a; p. 38)33.Which of the following is not a type of benefits that comes from electronicprocurement?a.Transactional benefitsb.Management information benefitspliance benefitsd.Production benefitse.All of the above are benefits(d; p. 38)34.In a reverse auction, ____________.a.Multiple sellers invite bids from one buyerb.One buyer invites bids from multiple sellersc.One buyer invites bids from one sellerd.Multiple sellers invite bids from multiple buyers(b; p. 38)35.____________ has been identified as the biggest information technology thatcompanies face today.a.Software virusesb.The cost of technologyrmation securityd.Employee resistance(c; p. 39)True-False Questions1.The effective and efficient use of information allows organizations to either reducecosts or improve customer satisfaction. (False; p. 26)2.“Data” and “information” are synonymous terms. (False; p. 26)3.Office automation systems provide effective ways to process personal andorganizational business data, to perform calculations, and to create documents. (True;p. 26)4.The most relevant general software package for the logistician is the spreadsheet.(True; p. 26)5. A transaction processing system helps people work together by interacting andsharing information in many different forms. (False; p. 27)6.The Internet has emerged as the measuring stick for logistics information technologyduring the first decade of the 21st century. (False; p. 28)7.Transportation companies that have implemented global positioning systems havereported increased worker productivity, reduced operating costs, and improvedcustomer relations. (True; p. 28)8.Global positioning systems often pay for themselves within six months. (False; p. 28)9.In batch processing, data are collected and stored for processing at a later time. (True;p. 61)10.EDI is an example of a logistics-related transaction processing system. (True; p. 28)11.EDI is no longer an important logistics technology in the 21st century. (False; p. 29)12.The idea behind point-of-sale systems is to provide data to guide and enhancemanagerial decision making. (True; p. 29)13.Radio-frequency identification is the most popular automatic identification systemcurrently in use. (False; p. 29)14.It is suggested that widespread adoption of RFID will only occur when the price forread-only chips drops to 2 cents. (True; p. 30)15.One prominent drawback to radio-frequency identification (RFID) involves privacyconcerns. (True; p. 30)16.A logistics information system begins with a logistics manager requestinginformation and ends with the manager receiving regular and customized reports.(True; p. 30)17.Internal sources of logistics information are not always as plentiful as might bedesired. (True; p. 30)18.“Timely” information can refer to its natur e and quality. (False; pp. 30-31)19.The primary advantage of simulation is that it enables a firm to test the feasibility ofproposed changes at relatively little expense. (True; p. 31)20.Application-specific software is a type of decision support system. (True; p. 32)21.One benefit to transportation management systems is fewer stockouts. (False; p. 33)22.Activities that can be controlled by a warehouse management system includeinventory management, determination of storage locations, and order shipping. (True;pp. 33-34)23.Correlation analysis uses sophisticated quantitative techniques to find “hidden”patterns in large volumes of data. (False; p. 35)24.Wal-Mart and its vendors make extensive use of data mining to improve supply chainefficiency and effectiveness. (True; p. 35)25.The attractiveness of ERP systems comes from their potential for lower costs as wellas increased productivity and customer satisfaction. (True; p. 35)26.The origin of ERP systems can be traced back to finance and manufacturing. (False; p.35)27.There are suggestions that consultant fees for ERP implementations may be threetimes as costly as the software itself. (True; p. 36)28.A general rule of thumb is that the actual time to implement an ERP system mayrange from 1 ½ to 2 times longer than the time period specified by the ERP vendor.(False; p. 36)29.In recent years, ERP vendors have begun to provide high-quality application-specificlogistical capabilities. (True; p. 36)30.About 35 percent of the world’s population currently uses the Internet. (False; p. 36)31.There are few logistical similarities between online and in-store retailing. (False; p.36)32.The smaller order quantities occasioned by online retailing tend to favor transportcompanies with extensive delivery networks and expertise in parcel shipments. (True;p. 37)33.The return rates associated with e-commerce are quite similar to those associated withother kinds of retailing. (False; p. 37)34.The two logistics functions with highest degree of Internet usage are warehousing andtransportation. (False; p. 69)35.One reason for the popularity of on-demand software is that is pay-per use formulaallows customers to avoid high capital investment costs. (True; p. 38)36.Electronic procurement uses the Internet to make it easier, faster, and less expensivefor an organization to purchase goods and services. (True; p. 38)37.In a reverse auction, one seller invites bids from multiple buyers. (False; p. 38)rmation technology should be regarded as a tool to help managers addressorganizational problems. (True; p. 39)39.Software viruses are viewed as the most important information technology issue thatcompanies face today. (False; p. 39)40.People-related factors such as employee resistance have been identified as a majorcause of information technology implementation failure. (True; p. 39)CASE SOLUTIONSCASE 3-1 JUST-IN-TIME IN KALAMAZOOQuestion 1: What is the total annual cost of maintaining the components inventory under the present system?Current systemCurrent system (continued)Total inventory maintenance cost per year = $1,151,522Total inventory maintenance cost per year = $1,292,824.00The table in this case is a 10% sample of the firm’s inventory and reflects theinputs needed for one week’s activities. We must calculate the average stock onhand for each item (safety stock + ½ order lot size), and must calculate the costper item (unit cost plus freight). For the first item—gas ranges—a safety stock of40 units is maintained, and ½ the order lot size is 100 units, for a total inventoryin stock of 140 units. Unit cost ($100) plus freight ($20) equals $120. Multiplying average inventory (140) times $120 equals $16,800. Doing all the items on tablegives a total of $96,175. Because this is a 10% sample, the total parts inventorywould be worth $961,750. Inventory carrying costs on this, at 20% per year,would be $192,350.Question 2: What would be the total annual cost of maintaining the components inventory under the JIT system (assuming no safety stocks)?One would look at the average number used per week, but apply the new, usually higher unit costs and freight charges. For one week’s activity shown on the table, the new cost would be $24,862 per week (compared with about $21,818 under the existing system). Hence the cost of the JIT system is higher.Question 3: Should Ballenger take into account any other costs or benefits from the JIT system? If so, what are they?Under a JIT system, Ballenger should exhibit less concern with various problems associated with maintaining a large inventory such as shrinkage and obsolescence. Question 4: If the JIT system is adopted, are there safety stocks of any item that should be maintained? If so, which ones, and how much?Unfortunately, the case does not provide sufficient information to answer thisquestion. Parts that are crucial to the process would need to be indicated bymanagement, or perhaps work-flow process charts.Question 5: If the JIT system is adopted, what changes, if any, should occur in the relationships between Ballenger’s firm and his suppliers of components? Discuss.He would need better discipline in terms of prompt delivery and freedom fromdefects.Question 6: Assume that Ballenger has switched to the JIT system and that he receives a surprise phone call from a competitor who is going out of business. The competitor wants to sell Ballenger 7,000 dome lights of the type listed on Exhibit 3-C. Should Ballenger buy them? If so, at what price?Probably not because this would undermine the discipline envisioned by the JITsystem. On the other hand, if the purchase price was very low, and there were no unique storage requirements, Ballenger might buy them.Question 7: Carrying costs are 20%. Is there a level of carrying costs at which both Ballenger’s present system and a JIT system have similar costs? If so, what is it?Using a basic spreadsheet package, we found that at the astronomical rate of167%, the two systems were equal.DISCUSSIONThis is a difficult case although it can be approached in several ways. One must calculate the average costs of all the goods, as they are used each week, plus a figure for inventory carrying costs.。

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