2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)最新文献

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Formation Mechanism of high Ni content (Cu, Ni)6Sn5 in Cu/Sn/Ni microbump for solid state aging Cu/Sn/Ni微碰撞固相时效中高Ni含量(Cu, Ni)6Sn5的形成机理
Haiyang Yu, C. Kao
{"title":"Formation Mechanism of high Ni content (Cu, Ni)6Sn5 in Cu/Sn/Ni microbump for solid state aging","authors":"Haiyang Yu, C. Kao","doi":"10.1109/ICTA56932.2022.9962977","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9962977","url":null,"abstract":"Due to its low cost, the Cu/Sn/Ni microbump is the most widely used structure in electronic packaging. Recent studies have characterized the evolution of the microstructure and phase formation in this system, and a unique (Cu,Ni)6Sn5 phase has been discovered with a high Ni content. However, there has been debate over the formation mechanism of this phase. This study builds a model of the formation mechanism of (Cu,Ni)6Sn5 and provides direct proof.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"129 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134505402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Voltage Error Quantizer For Digital Low Dropout Regulators With Fast Transient Response and Low Steady-State Error 具有快速瞬态响应和低稳态误差的数字低压差稳压器的电压误差量化器
Kaize Zhou, Dejian Li, Chongfei Shen, Yuxuan Du, Zhuo Chen, Weiwei Shan
{"title":"A Voltage Error Quantizer For Digital Low Dropout Regulators With Fast Transient Response and Low Steady-State Error","authors":"Kaize Zhou, Dejian Li, Chongfei Shen, Yuxuan Du, Zhuo Chen, Weiwei Shan","doi":"10.1109/ICTA56932.2022.9962987","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9962987","url":null,"abstract":"This paper proposes a voltage error quantizer for digital low dropout regulators (DLDOs) with fast transient response and low steady-state error. Compared with traditional DLDOs quantizing the reference voltage and output voltage separately, the proposed voltage error quantizer quantifies the voltage difference directly with high quantization speed and accuracy. Implemented in 28nm CMOS process, the proposed quantizer with on-chip self-calibration identifies the voltage difference as small as 4mV and has stable output codes at sampling frequencies up to 500MHz, which satisfies the fast transient response and low steady-state error demands of DLDOs.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134415619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Fast Sampling Open-circuit Voltage Algorithm for Piezoelectric Energy Harvesting 压电能量采集的一种快速采样开路电压算法
Ying Yu, Xufeng Liao, Lianxi Liu
{"title":"A Fast Sampling Open-circuit Voltage Algorithm for Piezoelectric Energy Harvesting","authors":"Ying Yu, Xufeng Liao, Lianxi Liu","doi":"10.1109/ICTA56932.2022.9963027","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963027","url":null,"abstract":"This paper presents a fast sampling open-circuit voltage algorithm for piezoelectric energy harvesting, which directly samples the output of the piezoelectric transducer and limits the sampling time to one piezoelectric vibration period. Therefore, it greatly reduces the power loss caused by the open-circuit sampling and improves the efficiency of the piezoelectric energy harvesting. The proposed circuit is implemented in 0.18 µm standard CMOS process, and the core circuit area is 670×536 µm2. The circuit can sample the open-circuit voltage in less than one piezoelectric vibration cycle and output the maximum power point voltage, and the power loss rate is less than 0.79%.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134605161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Charge Pump Based 1.5A NMOS LDO with 1.0~6.5V Input Range and 110mV Dropout Voltage 基于1.0~6.5V输入范围和110mV降压的1.5A NMOS LDO电荷泵
Yifa Wang, Tong Wu, Jianping Guo
{"title":"A Charge Pump Based 1.5A NMOS LDO with 1.0~6.5V Input Range and 110mV Dropout Voltage","authors":"Yifa Wang, Tong Wu, Jianping Guo","doi":"10.1109/ICTA56932.2022.9963126","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963126","url":null,"abstract":"This paper presents a low dropout regulator (LDO) with ampere-level loading capability and wide input range. The NMOS power transistor with built-in charge pump was adopted to reduce the dropout voltage thus increase the power efficiency effectively. To realize a wide input voltage range, the fully-integrated charge pump can be configured adaptively for different input voltage. The proposed LDO has been designed and implemented in a 180nm CMOS technology. Experimental results show that the LDO has a wide input voltage range of 1.0~6.5 V, a wide output voltage range of 0.8~5.5 V, and a maximum output current of 1.5 A. In addition, the dropout voltage is only 110 mV under 1.5 A loading condition.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131543316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
TSV Defects Classification with Machine Learning Approaches 基于机器学习方法的TSV缺陷分类
Haitao He, Changhao Luo, Junchen Dong, Yudi Zhao, Min Miao, Kai Zhao
{"title":"TSV Defects Classification with Machine Learning Approaches","authors":"Haitao He, Changhao Luo, Junchen Dong, Yudi Zhao, Min Miao, Kai Zhao","doi":"10.1109/ICTA56932.2022.9963040","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963040","url":null,"abstract":"The S parameter amplitude, latency, resistance, and inductance of TSV-RDL structures with the presence of five kinds of defects are simulated as feature vectors for defect detection and classification. Three nondestructive defect classification schemes for the TSV-RDL structure in advanced packaging are evaluated. Feedforward neural network with rectified linear unit activation function for the backpropagation algorithm is superior for defect classification and may play an important role in design for test and build-in self-repair circuit design.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129436401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ROPY-SLAM: a Heterogeneous CPU-FPGA System for Simultaneous Localization and Mapping 一种异构CPU-FPGA同步定位和映射系统
Weiyi Zhang, Liting Niu, Chaoyang Ding, Yiyang Wang, F. Farrukh, Chun Zhang
{"title":"ROPY-SLAM: a Heterogeneous CPU-FPGA System for Simultaneous Localization and Mapping","authors":"Weiyi Zhang, Liting Niu, Chaoyang Ding, Yiyang Wang, F. Farrukh, Chun Zhang","doi":"10.1109/ICTA56932.2022.9963112","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963112","url":null,"abstract":"Simultaneous localization and mapping (SLAM) is an emerging robotic technology enabling autonomous robots to self-localize and map the surrounding environments. However, SLAM system is time and resource consuming, making it hard to implement on mobile devices. In this work, ROPY-SLAM, a novel heterogeneous framework for SLAM is proposed to take advantage of various devices such as personal computer and FPGA. The proposed system reduces the execution time by 28.6% and resource utilization by at most 71.2%. Moreover, ROPY-SLAM supports more flexible hardware and software implementations, providing a solution for distributed calculation of robotic applications.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129514940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A passive balancing algorithm for multi-cells 一种多单元无源平衡算法
Kaikai Wu, Hongyi Wang, Shucai Wang
{"title":"A passive balancing algorithm for multi-cells","authors":"Kaikai Wu, Hongyi Wang, Shucai Wang","doi":"10.1109/ICTA56932.2022.9963034","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963034","url":null,"abstract":"For reducing the impact of large voltage difference between batteries in battery packs, a battery cell balancing algorithm is proposed in this paper. Based on the 0.18 µm process, the algorithm has been integrated into a 7-cell lithium battery charge and discharge protection chip. The test results show that the algorithm can reliably reduce the voltage difference between batteries and help to prolong the service life of battery packs.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122334480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A 210nA Quiescent Current Bandgap Reference with 5mA Load Capability Using Shared Error Amplifier 基于共享误差放大器的5mA负载能力的210nA静态电流带隙基准电路
Binwei Yang, Renwei Chen, Chenchang Zhan
{"title":"A 210nA Quiescent Current Bandgap Reference with 5mA Load Capability Using Shared Error Amplifier","authors":"Binwei Yang, Renwei Chen, Chenchang Zhan","doi":"10.1109/ICTA56932.2022.9963066","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963066","url":null,"abstract":"This paper presents an ultra-low quiescent current bandgap reference (BGR) with current loading capability. Based on sharing an error amplifier (EA) between the BGR core and the power transistor driving circuit, the maximum load current of the BGR is extended to 5mA without relying on an output buffer. The BGR uses a dual-clamping structure to achieve low temperature coefficient (TC) and improved DC regulation. The proposed BGR is designed in a standard 0.18-µm CMOS process. Measurement results show that the input voltage range is 1.68V -2V while the output voltage is 1.19V. The quiescent current is 210nA with a maximum load current of 5mA. In the temperature range of - 40°C to 125°C, the TC of the output voltage is 9.7ppm/ °C and 30. 76ppm/ °C at the light and heavy loads, respectively. Good line and load regulations are also achieved.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122671594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficient AVS3 Intra Prediction Hardware Design for Real-time Applications 面向实时应用的高效AVS3内部预测硬件设计
Yucheng Jiang, Hai-Jun Guo, Junhao Zheng, Jingsheng Wang, Songping Mai
{"title":"Efficient AVS3 Intra Prediction Hardware Design for Real-time Applications","authors":"Yucheng Jiang, Hai-Jun Guo, Junhao Zheng, Jingsheng Wang, Songping Mai","doi":"10.1109/ICTA56932.2022.9963036","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9963036","url":null,"abstract":"a hardware-efficient hybrid greedy CU (coding unit) partition algorithm for AVS3 intra prediction, which has advantages over the traditional regression algorithm on both scheduling complexity and resource consumption, is presented. Compared with the NVidia hardware acceleration of HEVC, the proposed algorithm achieves 21% performance improvement on AI (all-intra) configuration for UHD 4K video encoding.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128033688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A 1000 fps Spiking Neural Network Tracking Algorithm for On-Chip Processing of Dynamic Vision Sensor Data 一种用于片上动态视觉传感器数据处理的1000 fps脉冲神经网络跟踪算法
Chi Zhang, Lei Kang, Xu Yang, Guanghao Guo, P. Feng, Shuangming Yu, Liyuan Liu
{"title":"A 1000 fps Spiking Neural Network Tracking Algorithm for On-Chip Processing of Dynamic Vision Sensor Data","authors":"Chi Zhang, Lei Kang, Xu Yang, Guanghao Guo, P. Feng, Shuangming Yu, Liyuan Liu","doi":"10.1109/ICTA56932.2022.9962968","DOIUrl":"https://doi.org/10.1109/ICTA56932.2022.9962968","url":null,"abstract":"Dynamic vision sensor (DVS), an event-based camera, has attracted significant attention due to its unique characteristics. Unlike frame-based cameras, the data format of DVS makes it difficult for traditional algorithms to process it directly. On the other hand, as a new type of brain-like neural network, the spiking neural network is specially used to process spiking data, and it is well suited for this type of event-based camera. In addition, because of the rapid development of neuromorphic hardware in recent years, it is possible to deploy SNN applications on edge-side system-on-chip. Therefore, based on the characteristics of dynamic vision sensors, this paper designs a spike encoding module and an SNN for processing sensor information. We use selective search to accomplish object tracking by classifying targets and backgrounds. The SNN can achieve 98.66% classification accuracy on our synthetic test dataset, and the tracking algorithm can achieve over 1000 fps after quantizing and compiling the network to the hardware simulator.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114576086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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