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Inductors, Coils, Chokes (121274)
Integrated Circuits (ICs) (596888)
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TFM252012ALMA1R5MTAA
FIXED IND 1.5UH 3.1A 60 MOHM SMD
TDK Corporation
CM322522-100KL
FIXED IND 10UH 140MA 2.1 OHM SMD
Bourns Inc.
744786127A
FIXED IND 27NH 400MA 650MOHM SMD
Würth Elektronik
LQG18HN6N8J00D
FIXED IND 6.8NH 430MA 250MOHM SM
Murata Electronics
744777910
FIXED IND 10UH 2A 49 MOHM SMD
Würth Elektronik
78438357100
FIXED IND 10UH 2.7A 110MOHM SMD
Würth Elektronik
TFM252012ALMA1R5MTAA
FIXED IND 1.5UH 3.1A 60 MOHM SMD
TDK Corporation
Details
CM322522-100KL
FIXED IND 10UH 140MA 2.1 OHM SMD
Bourns Inc.
Details
744786127A
FIXED IND 27NH 400MA 650MOHM SMD
Würth Elektronik
Details
LQG18HN6N8J00D
FIXED IND 6.8NH 430MA 250MOHM SM
Murata Electronics
Details
744777910
FIXED IND 10UH 2A 49 MOHM SMD
Würth Elektronik
Details
78438357100
FIXED IND 10UH 2.7A 110MOHM SMD
Würth Elektronik
Details
SRP2512A-R47M
FIXED IND 470NH 4.6A 25 MOHM SMD
VLS5045EX-2R2N
FIXED IND 2.2UH 4.7A 28.6MOHM SM
SRP2512-2R2M
FIXED IND 2.2UH 2.1A 104MOHM SMD
NLV32T-100J-PF
FIXED IND 10UH 150MA 2.1 OHM SMD
NRS4018T6R8MDGJ
FIXED IND 6.8UH 1.45A 117.6 MOHM
LQW18AN12NG00D
FIXED IND 12NH 600MA 130MOHM SMD
7447860115
FIXED IND 15NH 300MA 320MOHM SMD
74437429203470
FIXED IND 47UH 12A 19.3 MOHM SMD
74439358010
FIXED IND 1UH 17A 2.1 MOHM SMD
74438356010
FIXED IND 1UH 7.2A 15 MOHM SMD
7447714470
FIXED IND 47UH 2.2A 99 MOHM SMD
74404042680
FIXED IND 68UH 540MA 840MOHM SMD
Littelfuse Inc.
KYOCERA AVX
TDK Corporation
Murata Electronics
KEMET
Taiyo Yuden
Susumu
EPCOS - TDK Electronics
Hammond Manufacturing
Würth Elektronik
Schurter Inc.
American Technical Ceramics
Abracon LLC
Vishay Dale
Eaton - Electronics Division
Chilisin Electronics
Bourns Inc.
Samsung Electro-Mechanics
ams NanEyeC Integrated Digital Camera Modules Now Shipping from M&M
2021-12-07
Learn more >
An article takes you through what FIFO memoryis
2023-10-02
Learn more >
What are the mainstream models of trigger?
2023-10-01
Learn more >
Inverter Component Class Recommendation
2023-09-30
Learn more >
VLCF4020T-100MR85
74404020100
IFSC1008ABER2R2M01
B82422H1684K000
TFM252012ALMAR15MTAA
VLS4012ET-1R0N
82223C
SRN4018-220M
L1210R2R2MDWIT
SRP2512-2R2M
DFE18SANR47MG0L
ASPI-4030S-4R7M-T
NR6045T470M
TYS5020220M-10
NR4018T2R2M
VLS3015ET-2R2M
TFM160808ALC-R47MTAA
CVH252009-4R7M
CBC3225T220MR
NRH3012T100MN
NLCV32T-100K-PFR
BRL3225T2R2M
MAKK2520H1R5M
NLV32T-1R0J-PF
NRS4018T2R2MDGJ
NRS4018T3R3MDGJ
LQW15AN5N6C10D
LB3218T1R0M
LBC3225T100KR
LQW15AN39NJ00D
7443641000
LQG15HS22NJ02D
74437368100
74439346047
7443551370
7443551181
744314330
74437324220
7447779133
74437349330
74438356015
74404064221
ams NanEyeC Integrated Digital Camera Modules Now Shipping from M&M
On 2021-12-07 in
3
ams OSRAM NanEyeC product micrositeDecember 13, 2021 - M&M TECHNOLOGY, the industry's leadingNew Product Introduction (NPI) distributor with the widest selection of semiconductors and electronic components, is now stocking NanEyeC integrated digital camera modules from ams OSRAM.ams OSRAM NanEyeC devices are miniature image sensors for vision applications where size is a critical factor. These modules are designed for the toughest confined space requirements with a small footprint of 1mm2 and four compact pads. The NanEyeC miniature camera modules achieve a frame rate of 0 to 58fps at 320 x 320 resolution with slave mode operation. These camera modules feature a highly sensitive 2.4-micron rolling shutter pixel and large full well capacitance. The sensor includes a 10-bit analog-to-digital converter (ADC) and a bit-serial single-ended interface mode (SEIM) data interface that reduces external electronics for applications with short connections. An additional LVDS interface allows it to drive the signal for longer distances.Applications include medical pill cams and intraoral scanners, robotics, drones, Internet-of-Things (IoT), and wearable devices.For more information, visit https://www.mm-chips.com
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An article takes you through what FIFO memoryis
On 2023-10-02 in
0
Title: Understanding FIFO Memory: A Comprehensive OverviewIntroduction (100 words) ----------------------- In the realm of computer science and digital electronics, memory plays a crucial role in storing and retrieving data. One such type of memory that has gained significant importance is the First-In-First-Out (FIFO) memory. This article aims to provide a comprehensive understanding of FIFO memory, its working principles, applications, advantages, and limitations. By delving into the intricacies of this memory type, we can gain insights into its significance in various domains, including data processing, communication systems, and real-time applications.Section 1: What is FIFO Memory? (200 words) ------------------------------------------ FIFO memory, also known as a FIFO queue or buffer, is a type of data storage device that follows the First-In-First-Out principle. It is designed to store and retrieve data in the same order as it was received. In other words, the data that enters the FIFO memory first will be the first to be read or processed. This characteristic makes FIFO memory particularly useful in scenarios where data needs to be processed in a sequential manner.Section 2: How Does FIFO Memory Work? (300 words) ------------------------------------------------ FIFO memory operates on a simple principle: data is written into the memory at one end, known as the write pointer, and read from the other end, known as the read pointer. The write pointer advances as new data is written, while the read pointer advances as data is read or processed. This ensures that the oldest data is always read first.FIFO memory can be implemented using various hardware or software techniques. Hardware-based FIFO memory typically consists of a series of registers or memory cells connected in a linear fashion. Each memory cell stores a single data element, and the read and write pointers keep track of the current position within the memory.Software-based FIFO memory, on the other hand, can be implemented using arrays or linked lists. In this case, the read and write pointers are represented by indices or pointers to the appropriate memory locations.Section 3: Applications of FIFO Memory (400 words) ------------------------------------------------- FIFO memory finds extensive applications in various domains due to its unique characteristics. Some notable applications include:1. Data Processing: FIFO memory is widely used in data processing systems, such as microprocessors and digital signal processors (DSPs). It allows for efficient handling of data streams, ensuring that data is processed in the order it was received.2. Communication Systems: In communication systems, FIFO memory is used to buffer incoming and outgoing data. It helps in synchronizing data flow between different components, ensuring smooth transmission and reception of data packets.3. Real-Time Applications: FIFO memory is crucial in real-time applications, where data needs to be processed within strict time constraints. It helps in managing data streams, ensuring that time-sensitive data is processed without delays.4. Multimedia Streaming: FIFO memory plays a vital role in multimedia streaming applications, such as video playback and audio processing. It helps in buffering data packets, ensuring smooth and uninterrupted playback.5. Network Switching: In network switches and routers, FIFO memory is used to manage incoming and outgoing data packets. It helps in queuing and prioritizing data packets based on their arrival time, ensuring fair and efficient data transmission.Section 4: Advantages and Limitations of FIFO Memory (300 words) ---------------------------------------------------------------- Advantages: - FIFO memory ensures data integrity by preserving the order of data elements. - It simplifies data processing by providing a sequential data stream. - FIFO memory is relatively easy to implement and can be integrated into various hardware and software systems. - It helps in managing data flow, preventing data loss or overflow.Limitations: - FIFO memory has a fixed capacity, which can lead to data loss if the memory becomes full. - It may introduce latency in real-time applications, as data needs to wait in the buffer before being processed. - In certain scenarios, FIFO memory may not be suitable for handling non-sequential data streams.Conclusion (100 words) ----------------------- FIFO memory, with its ability to preserve data order and facilitate sequential processing, has become an integral part of modern computing systems. Its applications span across diverse domains, including data processing, communication systems, real-time applications, and multimedia streaming. Understanding the working principles, advantages, and limitations of FIFO memory is crucial for engineers and developers working with data-intensive systems. By harnessing the power of FIFO memory, we can ensure efficient data handling, improved system performance, and seamless data flow in various applications.
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What are the mainstream models of trigger?
On 2023-10-01 in
0
Title: Exploring the Mainstream Models of Trigger: Understanding the Mechanisms Behind Human BehaviorIntroduction (100 words) Triggers play a significant role in shaping human behavior and responses. Understanding the various models of triggers can provide valuable insights into why individuals react the way they do in certain situations. In this article, we will explore the mainstream models of triggers, shedding light on the psychological, sociological, and neurological aspects that influence human behavior. By delving into these models, we can gain a deeper understanding of triggers and their impact on our daily lives.1. Psychological Models of Trigger (300 words) Psychological models of triggers focus on the internal processes that influence human behavior. One prominent model is the stimulus-response theory, which suggests that triggers are external stimuli that elicit specific responses. This model emphasizes the importance of conditioning and reinforcement in shaping behavior. For example, a person may develop a fear of dogs after being bitten by one, associating dogs with danger.Another psychological model is the cognitive-behavioral model, which highlights the role of thoughts and beliefs in triggering behavior. This model suggests that triggers are not solely determined by external stimuli but also by an individual's interpretation and perception of those stimuli. For instance, a person with social anxiety may perceive a crowded room as threatening, triggering feelings of discomfort and avoidance.2. Sociological Models of Trigger (300 words) Sociological models of triggers focus on the social and cultural factors that influence behavior. One such model is the social learning theory, which suggests that triggers are learned through observation and imitation of others. For example, children may learn aggressive behavior by observing their parents or peers engaging in such actions.Another sociological model is the labeling theory, which proposes that triggers are influenced by the labels and expectations society places on individuals. This theory suggests that individuals may conform to these labels, leading to specific behaviors. For instance, a person labeled as a troublemaker may internalize this label and engage in delinquent behavior.3. Neurological Models of Trigger (300 words) Neurological models of triggers focus on the brain's mechanisms and processes that underlie human behavior. One prominent model is the amygdala-based model, which suggests that triggers activate the amygdala, a brain region responsible for processing emotions. When triggered, the amygdala initiates the fight-or-flight response, leading to behavioral and physiological changes. For example, a loud noise may trigger fear and cause an individual to instinctively run away.Another neurological model is the reward-based model, which suggests that triggers activate the brain's reward system, releasing dopamine and reinforcing certain behaviors. This model explains why individuals may engage in addictive behaviors when triggered by certain stimuli, such as drugs or gambling.Conclusion (100 words) Understanding the mainstream models of triggers provides valuable insights into the complex mechanisms behind human behavior. Psychological models emphasize the role of conditioning, thoughts, and beliefs, while sociological models focus on social learning and labeling. Neurological models shed light on the brain's processes and the influence of emotions and rewards. By integrating these models, we can develop a comprehensive understanding of triggers and their impact on our behavior, paving the way for more effective interventions and strategies to manage triggers and promote positive behavioral change.
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Inverter Component Class Recommendation
On 2023-09-30 in
0
Title: Inverter Component Class Recommendation: Choosing the Right Components for Optimal PerformanceIntroduction (100 words) Inverters play a crucial role in converting direct current (DC) into alternating current (AC) for various applications. The performance and efficiency of an inverter heavily depend on the quality and suitability of its components. This article aims to provide a comprehensive guide for selecting the right inverter components, focusing on the inverter's core components: power semiconductors, capacitors, and inductor/transformer. By understanding the key considerations and recommendations for each component class, engineers and designers can make informed decisions to ensure optimal performance and reliability of their inverters.1. Power Semiconductors (400 words) Power semiconductors, such as insulated gate bipolar transistors (IGBTs) and metal-oxide-semiconductor field-effect transistors (MOSFETs), are critical components in inverters. They control the flow of current and voltage, enabling the conversion process. When selecting power semiconductors, several factors should be considered:a) Voltage and Current Ratings: The voltage and current ratings of the power semiconductors should match the inverter's requirements. Overrating or underrating can lead to inefficiencies, overheating, and even component failure.b) Switching Speed: The switching speed of the power semiconductors affects the inverter's efficiency and switching losses. Higher switching speeds can reduce power losses but may require additional cooling measures.c) Thermal Management: Efficient thermal management is crucial to prevent overheating and ensure long-term reliability. Consider power semiconductors with low thermal resistance and explore cooling options like heat sinks or forced air cooling.2. Capacitors (400 words) Capacitors are essential for energy storage and voltage regulation in inverters. They help stabilize the output voltage and filter out unwanted noise. When selecting capacitors for inverters, the following factors should be considered:a) Capacitance and Voltage Ratings: The capacitance value should be chosen based on the inverter's power requirements and the desired voltage ripple. Ensure that the voltage rating of the capacitors exceeds the maximum voltage the inverter will encounter.b) Temperature and Lifetime: Capacitors should be able to withstand the operating temperature range of the inverter. Consider capacitors with a long operational lifetime to ensure reliability and minimize maintenance requirements.c) ESR and ESL: Equivalent series resistance (ESR) and equivalent series inductance (ESL) are important parameters that affect the capacitor's performance. Lower ESR and ESL values result in better efficiency and reduced power losses.3. Inductor/Transformer (400 words) Inductors and transformers are crucial components in inverters, responsible for energy storage, voltage transformation, and filtering. When selecting inductors or transformers, the following factors should be considered:a) Inductance and Turns Ratio: The inductance value and turns ratio of transformers should be chosen based on the desired voltage transformation and power requirements. Ensure that the chosen components can handle the required current without saturation.b) Core Material: The core material of inductors and transformers affects their efficiency, size, and cost. Common core materials include ferrite, powdered iron, and laminated cores. Choose the appropriate core material based on the desired performance and cost constraints.c) Saturation Current and Temperature Rise: Consider the saturation current rating and temperature rise of inductors and transformers to ensure they can handle the expected current without overheating or performance degradation.Conclusion (100 words) Selecting the right components for inverters is crucial for achieving optimal performance, efficiency, and reliability. Power semiconductors, capacitors, and inductors/transformers are the core components that require careful consideration. By evaluating factors such as voltage/current ratings, switching speed, thermal management, capacitance/voltage ratings, temperature/lifetime, ESR/ESL, inductance/turns ratio, core material, saturation current, and temperature rise, engineers and designers can make informed decisions. By choosing the right components, inverters can deliver efficient and reliable power conversion for a wide range of applications.
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