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Glove Puppetry is popular in Chinese societies. Glove puppet shows have been performed in a traditional (manual) way for over 300 years. Due to the advances in information and communications technology (ICT), we can extend glove puppet art in a very different dimension. However, existing ICT solutions for puppet control have not demonstrated the time complexities for their control mechanisms nor how they can effectively control the puppets. This paper proposes PuppetTalk, an Internet of Things (IoT) application platform for puppet control. We allow multiple input IoT devices such as smart gloves to control a puppet robot, and smartphones can be used to control the sequences of actions on that robot at the same time. In particular, the PuppetTalk Graphical User Interface (GUI) allows users to quickly configure multiple distributed devices to control a puppet robot. Also, controlling puppet legs using a second glove and puppet movements with hand gestures in real time through smart phones are both innovations that have not appeared in the literature so far. When multiple input devices are used to control a puppet robot, their instructions must be received by the robot in a correct sequence. We have conducted measurements, simulation and analytic modeling to show that PuppetTalk can correctly control a puppet robot by multiple input devices with the probability higher than 99.7%.

The emerging multi-cloud environments (MCEs) empower the execution of large-scale scientific workflows (SWs) with sufficient resource provisioning. However, due to complex task dependencies in SWs and various cost-performance of cloud resources, the SW scheduling in MCEs faces huge challenges. To address these challenges, we propose an Online Workflow Scheduling algorithm based on Adaptive resource Allocation and Consolidation (OWS-A2C). In OWS-A2C, the deadline reassignment is first executed for SW tasks based on the execution performance of instance resources, which enhances resource utilization from a local perspective when executing an SW. Next, the execution instances are allocated and consolidated according to the performance requirements of multiple SWs, which improves resource utilization and reduces the total costs of executing multiple SWs from a global perspective. Finally, the SW tasks are dynamically scheduled to the execution instances with the earliest-deadline-first (EDF) discipline and completed before their sub-deadlines. The extensive simulation experiments are conducted to demonstrate the effectiveness of the proposed OWS-A2C on SW scheduling in MCEs, which outperforms three baseline scheduling methods with higher resource utilization and lower execution costs under deadline constraints.

In this paper, we propose an energy-saving elevator scheduling algorithm to reduce the car moving steps to achieve motor energy saving and green wireless communications. The proposed algorithm consisting of six procedures can attain fewer Internet of Things (IoT) message exchanges (i.e. communication transmissions) between the Scheduler subsystem and the Car subsystem via the core function AssignCar ( $r$ ). The function AssignCar ( $r$ ) is capable of assigning a request to the nearest car through car search globally. From the emulation results for four cars, this work shows that the proposed algorithm outperforms the previous work named as aggressive car scheduling with initial car distribution (ACSICD) algorithm with energy consumption reductions by 49.43%, 47.68%, 37.89%, and 47.65% for up-peak, inter-floor, down-peak, and all-day request patterns, respectively.

The emerging 5G mobile network technology is intended to deliver an effective platform for the communication of devices within users. In this study, the proposed method enables the improvement of the connectivity for the IoT with network slicing concepts. The allocation of resources is based on individual network slices specified as audio, texting, video, and browsing. Then, to maximize the average resource allocation performance, a deep reinforcement learning (DRL) optimization method is proposed. For user resource request queue round-robin scheduling algorithm is applied to control the traffic for sharing resources. Finally, this work addresses two leading issues as allocating network slices to the users, balancing resource blocks, and quality of service for fair resource allocation.

A broadband common-mode filter composed of three layers of a printed circuit board (PCB) with $\mathbf{5.2} \text{mm} \times 17.6 \text{mm}$ area is proposed. Multiple transmission zeros can be created by aT-type resonator on the second PCB layer with a differential pair on the first PCB layer. The broadband common-mode noise suppression can be achieved by positioning transmission zeros appropriately. ANSYS HFSS is used to verify the design of proposed filter and the simulation result shows the common-mode noise is suppressed over 10 dB from 2 GHz to 10.5 GHz with 136% fractional bandwidth. The differential signal keeps good integrity in the frequency range from DC to 12 GHz.

Four types of CSRR DGS RCMF (Complementary Split Ring Resonator Defected Ground Structure Reflective Common-Mode Filter) simulations are presented. Their equivalent circuits are also presented. Their performance results are also shown and analyzed. ANSYS HFSS is used to verify these performances. The dimension of the proposed filters is 11.0 mm x 11.0 mm. The best result is achieved by D _ CSRR DGS RCMF with the resonance frequency of the transmission zero at 2.44 GHz, the transmission zero depth is -26.0 dB, the -5 dB bandwidth is 1.8 GHz, and the -10 dB bandwidth is 500 MHz.

This paper presents a novel design of dipole antenna with H-slots to discuss the radiation characteristics of the antenna. This antenna is designed for unmanned aerial vehicle communication. It has the characteristics of side radiation, and 1.1~1.5GHz is selected as the working frequency band, which is helpful for the unmanned aerial vehicle to carry out long-distance communication. This study reduces the size of the antenna, and uses the surface characteristics of the UAV to match the characteristic impedance of the antenna to improve the performance of the antenna.

This paper presents a new type of double ridged horn antenna design for both radiated immunity and emissions test of broadband applications in EMI measurement. The proposed antenna offers excellent performance over the frequency range of 18 to 50 GHz as required by the EMI regulation compliance tests (i.e. FCC, CE, MIL-STD-461, RTCA DO-160, FDA, SAE, etc.). The optimized antenna aperture dimension of flared section of pyramidal structure and improved the ridge profile are yielded the wide antenna beam-width across the bandwidth, lower VSWR, stable gain and symmetric radiation patterns with low side lobe level. Moreover, a coaxial probe structure in the feed section and fitted with by a 2.4 mm connector, while under the increased bandwidth for good impedance matching. To achive the charactistic of this well designed antenna, whose has been implement, measurement, and to reduce the difficulty and cost of daily use in laboratory environments for a standard semi-anechoic chamber.

A new scheme of a wideband common-mode filter for defected corrugated reference plane structure (DCRP), which is embedded in a multilayer printed circuit board. It utilized the common-mode current return path principle, stepped-impedance characteristics, and defected ground structure (DGS), to generate a specific rejection band, many close transmission zeros generate in the common-mode (CM), the common-mode noise causes the stopband effect. The design analysis and simulation results by HFSS indicate that the common-mode noise suppressed over 10dB from 3.76 GHz to 16.09 GHz with 124 percent of fractional band-width, the insertion loss of differential-mode (DM) remained less than -2.2 dB from DC to 20 GHz. The DCRP filter is a low-cost design, which applicable wideband suppression of common-mode noise for differential pair signals up to 16 GHz frequency.

3D structured light scanners have been widely applied in the industry for high-speed and automatic quality control. A lot of scientific research reported that the obtainable accuracy and precision of the scanner vary considerably, and imperfect camera calibration is the main error source in the scanners. Actually, the VDI/VDE 2634 guideline, proposed by Association of German Engineers and Association for Electrical Engineering, Electronics and Information Technologies, has been used for evaluating the accuracy of stereo vision systems. However, the sensitivities of the camera parameters and disparity map for the test results of VDI/VDE 2634 guideline have not been well evaluated. This paper proposes a method for sensitivity analysis based on the principle of stereo vision, Monte Carlo method and VDI/VDE 2634 Part 2 guideline. We simulate the point cloud result of the ball bar artefact with 7 different arrangements and calculate the dimension of sphere diameter, sphere form and sphere-spacing. The simulation results show that the farther ball would have greater systematic error, and the deviation of the focal length and the disparity map would considerably affect the 3D point cloud reconstruction. Moreover, measurement of the ball bar artefact at the different depths of view would efficiently derive the maximum permissible error (MPE) of 3D structured light scanners.

Equalization is typically used to counteract the channel loss for signal integrity. The separate optimization for tap coefficients of feed forward equalizer (FFE) and the transfer function of continuous time linear equalizer (CTLE) may not give the optimal result for the channel with both FFE and CTLE applied. A method of combined optimization of FFE and CTLE equalizations based on the analysis of pulse response is proposed in this paper. The simulation result of eye diagrams proves the collaboration of FFE and CTLE equalizations can be optimized with the proposed method.

Realization of Antenna-in-Package (AiP) needs to resolve several performance instability challenges at millimeterwave (mmW) frequencies. They are caused by the uncertainties of material properties and mechanical fabrication limitations. In particular, the material properties are highly dependent on frequencies and may exhibit properties of magnetization. Besides, the physical sizes of wavelength at mmW frequencies are very small, making the discrepancy by mechanical fabrications large to cause degradation to the AiP's radiation performance. The roughness of the metal surface may also cause performance degradation, which cannot be avoided due to adherence to the dielectric substrates. These potential performance degradation factors are examined in this paper by considering practical AiPs at 38 GHz bands. Comparisons between full-wave simulations and experimental measurements over AiP prototypes are performed to justify materials and fabrications' influencing factors.

Design of Antenna-in-Module (AiM) is presented to realize active and reconfigurable antenna arrays for potential 5G applications at millimeter-wave (mmW) frequencies. Due to the large array configuration, transmission line loss in the dielectric substrates is significant to cause gain degradation and heat issues. To overcome such drawbacks, unequal feeding lines in the beamforming circuits were employed, which were designed based on the available shortest paths. Active digital phase shifters (DPSs) are used to perform the beam steering while, in the meantime, compensate for the phase discrepancy arising from the unequal lengths of feeding lines. For broadband operation, the DPSs are realized by true-delay lines. A calibration technique was employed to perform the phase adjustment. Full-wave simulations by HFSS and experimental measurements on an AiM prototype are presented to validate the feasibility and demonstrate the radiation characteristics.

We report a study of river flow modeling and forecast by using both noisy and thresholded discharge data as inputs to a neuro-wavelet based neural network. The data was was obtained from USGS station 04156000 Tittabawassee River at Midland, Michigan. In the neuro-wavelet network we combine wavelet analysis by using Daubechies wavelet and artificial neural networks to perform river flow forecasting of the Tittabawassee River. We obtain and compare mean squared errors, correlation coefficients, and root mean squared relative errors for three model performances. Results on the potential benefit in predictive power from denoising river flow data are presented and discussed.

Many people feed the pet fish in the aquarium tanks that need to be properly set up and maintained, or the fish will be destined to an unpleasant and short life. Therefore, it is critical to monitor water conditions closely and improve the water quality for the mini aquarium tanks. Based on an IoT solution called IoTtalk, this paper proposes the FishTalk system that utilizes the aquarium sensors to drive the actuators in real time. We describe the relationship between the aquarium sensors and the actuators and give concrete examples about the threshold setting. Our solution allows the designer to quickly deploy intelligent control for various water conditions. As an example, we implement an intelligent fish feeding mechanism such that the fish is neither over nor under fed, and at the same time, the fish owner can enjoy watching fish feeding remotely. We have also developed the analytic model, simulation, and measurement experiments to investigate the effects of the IoT message delays and loss on water condition control.

In this manuscripts, H-slotted DGS based antenna configuration for K/Ku applications is designed, fabricated and measured using ROHDE & SCHWARZ ZVB20 network analyzer. Simulation studies are performed using Electromagnetic Simulation Software CST Studio Suite. Moreover, a development of Artificial Neural Networks (ANN) model is implemented based on feedforward back-propagation and Bayesian regularization learning algorithm. The optimal position for H-slotted DGS antenna performance is predicted in terms of reflection coefficient and resonance frequency. The antenna is implemented on Rogers RT/Duroid 5880 with relative dielectric constant of 0.0009 and thickness 0.38 mm. It operates at both 15.04 GHz (from 14.87 GHz to 15.208 GHz) and 24.77 GHz (from 24.404 GHz to 25.137 GHz). The antenna achieves gains of 5.59 dB and 6.10 dB and efficiencies of 87 % and 80 % at both frequencies, respectively. The simulation using CST, predicted ANN and measurement results are in good agreement.

The proposed work conducts a new approach for modeling a dual band monopole antenna design using DGS assisted by ANN. In the aim of efficient dual band antenna design with gain and optimal impedance matching, the Artificial Neural Networks technique (ANN) is used for the development process. This work presents a modeling for H-slotted Defected Ground Structure (DGS) based dual band antenna using ANN for 5G Sub-6 GHz applications. The designed antenna operates at 3.76 GHz and 6.1 GHz. The antenna gain is 2.18 dB and 2.75 dB at both frequencies, respectively. Firstly, a simulation is performed using CST EM simulator, then the predicted results in term of return losses and frequencies are fed into the ANN model. Secondly using a hybrid algorithm based on both feed-forward back-propagation and Levenberg-Marquart (LM) learning algorithm, the optimal position of the H-Slotted DGS in terms of 5G Sub-6 GHz band is extracted. Finally, the experimental validation is conducted and compared with the simulation results, a good agreement is obtained.

In this paper, we proposed a new design AC voltage probe for EMI AC conduction pretest and debug. This AC voltage probe has a strong positive correlation with the results of LISN. It can be used for the designers and engineers to check if the product can meet the limit of AC conducted noises before the final test. The different type and value capacitors were applied for this probe and the best configuration was found in the study. The proposed structure has been implemented for the conducted emissions measurement from 150 kHz to 30 MHz, which is verified to fulfill the preliminary test of DUT. This probe is simple and useful for AC conduction pretest in the stage of design, and it is also a low-cost and effective tool for EMI AC conduction problems diagnosis and debug.

A novel dual band open loop antenna refers to a slot and an inverted-L ground (Inverted-L) between the main resonant radiating elements connected to two radiating metal elements. short-line), and is directly printed on a FR4 PCB board substrate, so that the antenna can obtain dual frequency operating frequency. It contains a parallel bent main resonant radiating element connected to the feeding end, which can be adjusted to the size of the radiating element by changing the quarter-wavelength based on A high-frequency operating frequency band and an inverted-L short-line radiating element. One end of a rectangular metal element is connected to the main common-amplitude radiation metal element, and the other end is provided with a parallel slot and Inverted-L short-line radiating elements are coupled to obtain a low-frequency operating frequency band; and the gap of this parallel slot is exactly 0.01λ wavelength of the operating frequency, and the coupling part radiation pattern. The surface current generated by the loop is used to increase the antenna operating bandwidth (Bandwidth), so that the antenna can obtain dual-band operating bandwidth and good antenna gain.

Smart factory and IoT (Internet of Things) is an important issue in 5G communication. In order to recognize some broadband channel characteristics like mean excess delay, RMS delay spread and coherent bandwidth in factory environment. And we compare with references to understand the wireless propagation ability in factory environments.

In this paper, an active antenna-in-package (AiP) design at millimeter wave frequencies (mmW) is presented for user equipment (UE) and customer-premises equipment (CPE) applications. In particular, the UE and CPE AiP implements 4 × 4 and 6 × 6 microstrip antenna elements on the stacked substrates of conventional system-in-package process to realize the desired gains for 5G applications. Within a 19 × 19 mm2 area, we are able to achieve -10 dB reflection coefficient bands of 24.25-29.5 and 37-43.5 GHz by simulations for the two most popular 5G frequency bands, where the simulated gains are 13.7 and 15.22 dBi, respectively. The beam scan range is up to ±40o. On the other hand, the CPE AiP is designed on a 33 × 33 mm2 area, where the maximum gains are 18.83 and 21.25dBi at 28 and 39 GHz, respectively.

Tracking the rules matched by the packets of a flow when they traverse multiple switches in a network is very important and useful. In this paper, we design and implement a bandwidth- efficient In-Band Network Telemetry (INT) system that can track the rules matched by the packets of a flow in real time or in the past. We have evaluated the real performance of our system on a testbed composed of several hardware P4 switches. Our experimental results show that the system works correctly and its traffic reduction scheme can reduce the rate of generated INT reports by a factor of 39, 394, 2,055, or even up to 12,500, depending on the type of network states monitored and the threshold used to filter out less important INT reports.

In various time-slots, the real-time reasoning tasks generated by autonomous vehicles are scheduled within tolerance time, which is the key problem to be solved in autonomous driving. Tasks are traditionally scheduled on the on-board unit (OBU), which leads to long completion time of tasks. Heuristic algorithms are widely used in task scheduling problems, which usually causes to premature convergence. Scheduling tasks in edge environment can effectively reduce completion time of tasks. In this paper, a workflow scheduling strategy was designed in edge environment according to the difference of reasoning tasks and the changes of edge nodes in various time-slots. Firstly, the model of Markov decision process (MDP) was built to describe the problem scenario, and the completion time of reasoning tasks was calculated by the workflow scheduling algorithm. Secondly, the Q-learning algorithm based on simulated anealing (SA-QL) was proposed to optimize the completion time of reasoning tasks. Finally, the performance of reinforcement learning algorithms based on simulated annealing (SA-RL) and particle swarm optimization (PSO) algorithm were comprehensively displayed from four perspectives: effectiveness, feasibility, exploration and convergence. The experimental results show that both SA-RL algorithms and PSO algorithm have good performance in feasibility and effectiveness. TD(0) algorithms have better performance of exploration and TD() algorithms have that of convergence.

As switching power noise can cause severe power integrity (PI) and signal integrity (SI) problems on printed-circuit-board (PCB), the modeling of DC-DC buck converter, also known as voltage regulator module (VRM), is important for the analysis of noise coupling from the switching power noise induced by VRM to nearby signal and power nets. In this paper, the switching power noise from VRM is analyzed and then classified into two types of noise source, which are dv/dt noise and di/dt noise. The dv/dt noise is modeled by a resonator composed of the RLC series circuit. The di/dt noise is modeled by the inductor current with piecewise linear (PWL) format. The ringing of di/dt noise can be also modeled by the resonator created for the modeling of dv/dt noise. The simulation result proves the power noise generated by the proposed equivalent VRM model presents good agreement with the power noise generated by the HSPICE model of FETs provided by the VR manufacturer. The di/dt noise error ratio is less than 10% and the dv/dt noise error ratio is below 1%.

Due to the flourishing development of the Internet of Things (IoT) technology, many smart home applications have become commercially available. One of the most popular applications is remotely controlled smart sockets. Most commercial smart socket products allow the user to control single-sockets. This paper proposes a smart socket system called MorSocket (“more sockets”) that allows the user to control multiple separated sockets within a control webpage. These sockets share the same wireless communication module and therefore the hardware cost of MorSocket is lower than the single-socket solutions. Furthermore, by integrating MorSensor with an IoT management platform called IoTtalk, MorSocket can be automatically controlled by arbitrary sensors for temperature, humidity, UV, CO2, and so on. Such configuration is easily and flexibly set up through the IoTtalk GUI without extra programming efforts. We also develop the MorSensor system that provides multiple configurable sensors tailored to control MorSocket through simple plug-and-play. Then we investigate the user tolerance delay between when the user presses the on/off button and when he/she presses the next time if MorSocket does not respond. The user experience is poor if the MorSocket access delay is longer than the tolerance delay, and the user may keep pressing the button. We conduct measurements, analytic modeling, and simulation experiments to study the impact of the user tolerance delay. Our study observes the quick response of MorSocket, which results in excellent user experience.

Internet of Things (IoT) allows interactive learning of students by inspiring their innovation everywhere on the campus. This paper proposes CampusTalk that provides convenient access to cyber and physical devices through the web technology. In this way, the campus applications can be accessed anywhere in the world through any computing device with a display and a browser without installing any mobile app. CampusTalk unifies the concepts of automatic creation of “mirror device features”(simulated counterpart) and talkPal device features, which are nicely demonstrated through several applications on campus. The core application of CampusTalk is SmartPhoneTalk that allows other applications to be accessed by students through their smartphones without installing any mobile apps. We describe three CampusTalk applications, including MusicTalk, PingPongTalk, and SkeletonTalk, to demonstrate cyber and physical interaction with SmartPhoneTalk. After the IoT devices of these applications have been developed and are accommodated in CampusTalk, the students can use the CampusTalk GUI to connect them with various combinations for innovative applications without extra programming effort.

This radar is very useful for detecting the patient's vital signs, in this case the heartbeats rate and breathing rate, without using sensors that are attached to human skin. The topic presented in this paper is the use of a 77 GHz FMCW radar to do some simultaneous non-contact measurements of the vital signs of several people.

Submarine cable is indispensable for offshore wind farms (OWFs) connected to a power grid, and it can cause certain degrees of impact on system performance due to different lengths, characteristics, and electrical parameters of the employed submarine cables. This paper employs the power-system simulation software of Power System Simulator for Engineering (PSS®E) for modeling a future-scheduled OWF, i.e., a large-scale doubly-fed induction generator (DFIG)-based OWF of 200 MW, connected to Jang-Bin Distribution Substation in Taiwan through five feeders, five circuit breakers, two step-up power transformers, commercial submarine cables, and underground cables. This paper simulates and compares the electrical quantities of the studied OWF with different operating capacities under various lengths of three types of commercial submarine cable. The transient surge peak voltages at the common bus of the OWF and the bus of Jang-Bin Distribution Substation due to the switching of one of the five circuit breakers of the studied OWF under different lengths of the three types of commercial submarine cable are also compared using the power-system simulation software of EMTP/ATPDraw.

In this paper, a simple estimated patch size is proposed in our design for suppressing mode conversion and common-mode noise on unbalance bent differential transmission line. By reducing the unbalance area between inner trace and outer trace on differential transmission line, we can just add proposed estimated patches to suppress mode conversion and common-mode noise. The proposed design is simulated and fabricated on printed circuit board (PCB) with FR4 substrate. In frequency domain analysis, the method is proved that the differential-mode insertion loss is below 8 dB from DC to 10 GHz on 135 and 150-degree bent differential transmission line. The differential-to-common mode conversion from DC to 10 GHz is suppressed over 6 dB. In time domain analysis, the common-mode noise has been reduced about 41%. Moreover, the measurement validation is provided to make sure that proposed estimated patch size design works and can be fabricated on PCB to save extra component costs.

In this paper, a 77GHz Vehicle Collision Warning Radar System short-range antenna is proposed. The operating frequency range is 77GHz to 81GHz, which is realized by the two actual substrates of RO4835 and RO3003, respectively. A patch array antenna is used as the basic structure of this system with multilayer board design technique for smaller size. Main beam is not offset by feeding on intermediate position of the array. We introduce two and three vias in parallel as the feeding in this system for enhancing bandwidth by decreasing overall equivalent inductance. The reflection coefficient reaches below −10 dB for automotive radar allocation of the 79GHz frequency band. The antenna gain reaches 14.2dBi, and the radiation efficiency reaches more than 85%.

A broadband common mode filter embedded in the multi-layer printed circuit board is proposed in this paper. The filter is composed of four metal layers, and the ring structure with the serpentine transmission line connected on the third metal layer from the top to bottom layer is designed for creating transmission zeros at separate frequencies. This property is utilized to accomplish broadband suppression of common mode noise with a compact filter design. HFSS is used to verify the filter design and the simulation result shows the common mode noise can be suppressed over 10 dB from 1.57 to 7.87 GHz with 133 percent fractional bandwidth. With this excellent performance of noise suppression, the differential mode insertion loss of the proposed common mode filter can still be smaller than 2 dB below 10 GHz.

The traditional signature-based malware detection technology, which restricted by the updating frequency of the feature dataset, that cannot identify the new malware sample quickly. Malware from same type or same family usually have similar behaviors. Therefore, by comparing the similarity between the sequences represented by the function call sequence, which is less affected by the update frequency of the feature dataset. However, in face of a large number of malicious code samples to be detected, the size of the sequences extracted from the samples increases exponentially, which cannot guarantee the real-time detection of malware. In order to ensure the real time of malicious code detection, a parallel method based malicious code sequence comparison model is proposed in this paper. It includes two levels of parallelism, representing parallelism of different granularity, which effectively improves the efficiency of malicious code detection and recognition. The evaluation shows that our method has high effectiveness and efficiency with the large-scale data sets.

This paper presents a vision-assisted human motion analysis method that can be used to recognize in-bed preparatory motions for bed-exit. In this work, a 3D convolutional neural network was applied to predict sequential motions from ultra-low resolution (32 × 24 pixels) clips composed of depth images, which meets both privacy and computational efficiency requirements. The experimental results showed that the system effectively recognized key motions of bed-exit before bed-leaving. Moreover, these motions were applied to bed-exit prediction in several cases of disturbance and for beds of different structures, and the system accurately predicted bed-exit.

Today, the progress of modern technology has led to an increasing tendency toward higher speed, faster rising time, high density routing, and low-voltage operation; these trends will increase the difficulty of trace layout and chip placement, and it should make serious considerations of electromagnetic compatibility and common mode noise. In addition, signal integrity (SI) becomes more and more important design factors in high-speed board (PCB). In order to overcome these problems, differential signaling has been used since it has lower electromagnetic interference generation and higher common mode noise immunity. Because differential transmission lines offer a virtual ground in the middle between positive and negative lines, the differential signaling gradually becomes a common routing method and it is commonly used to high speed inter-connector interface, such as the universalserial- bus, digital-visual-interface, display-port, highdefinition-multimedia-interface, and so on. With such designs, the signal integrity (SI) problem in a poor highspeed printed circuit boards (PCBs) layout is affected by noise. Among these factors, crosstalk and common mode noise are major sources of noise to interfere with signal integrity (SI), and crosstalk problem and common mode noise are getting worse because layout density is increasing between connections of chips.

Currently there is a tremendous gap in observations of global air pressure fields although many satellite remote sensing techniques have been developed in measuring certain atmospheric variables such as temperature and moisture in last few decades. Air pressure is the key variable for the Earth's dynamic fields. This study explores the potential of global surface air pressure measurements using a satellite active microwave sensing technique, namely the Differential-absorption BArometric Radar (DiBAR), to improve weather forecasts, particularly severe weather such as typhoon predictions. The research team at NASA Langley has developed a prototype instrument and demonstrated its performance through ground and airborne experiments. Spacebome capability of this measurement approach will significantly improve typhoon and severe weather forecasts.

In this paper, a new double ridged horn antenna design is proposed. The antenna is especially suitable for the radiated susceptibility test from 1 GHz to 18 GHz as required by the regulation IEC/EN 61000-4-3. A tapering shape of the flared section and a new coupling coaxial feed structure are introduced and optimized to improve the main-beam direction and the half power beam width (HPBW) of the radiation pattern. Moreover, the impedance matching bandwidth is increased. The well designed antenna was implemented and measured inside a standard 3-m semi-anechoic chamber to show the performance achievement. By testing the field uniformity, the proposed horn antenna indeed can radiate the uniform wave with the field strength 5.4 V/m, within 0 dB to 6 dB differences to the nominal value at more than 75% of the measured grid points, from 1 GHz to 18 GHz.

With the development of high technology, the high-speed digital electronic circuit miniaturization, high operating frequency and high-speed transmission of data have continued to improve their functions. Because of the rapid development of semiconductor process, the electronic components become smaller, faster and faster processing speed. Compared to the past electronic circuit systems, the new electronic system will produce unpredictable electromagnetic interference (EMI), signal integrity (Signal Integrity, SI), power integrity (Power Integrity, PI) and other issues. That is to say, Electromagnetic Compatibility (EMC) has become an important topic in today's design of electronic circuits. Through proposed modelling method, we will discuss High Frequency Suppression Structure with two approaches: the stop-band and pass-band in Z-shape and bandstop filter. In the model, the PCB is divided into five segments of different sizes and rectangular power and ground plane. The High Frequency Suppression Structure are composed of two bandstop filters, rectangular resonant cavity and the Z-shape power bus. Finally, we can effectively isolate the power and ground noise.

In this paper, a circular sector antenna pair with harmonic rejection property for wireless power transmission (WPT) by near-field coupling is proposed. This antenna pair is adopted the coupled resonant method which can mutually compensate the impedance mismatching in the near field. When the transmitting antenna removes from the receiving antenna, the receiving antenna can also resonant independently and function as an antenna for Wi-Fi or energy harvesting. To improve the conversion efficiency, the circular sector antenna pair which can suppress re-radiation of the higher order harmonics to free space and reduce power loss due to the reradiation is adopted as the transmitting-receiving antenna. The conversion efficiency of the circular sector antenna pair is 80% when the input RF power is 19 dBm.