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Soft Computing and Signal Processing: Proceedings of 4th ICSCSP 2021

為了解決Air cylinder的問題，作者 這樣論述：

Data Preprocessing and finding optimal value of K for KNN Model.- Prediction of Cardiac Diseases using Machine Learning Algorithms.- A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News.- Evaluation of Machine Learning Algorithms for Electroencephalography based

Epileptic Seizure State Recognition.- Lung Disease Detection and Classification from Chest X-Ray Images using Adaptive Segmentation and Deep Learning.- A Quantitative analysis for Breast Cancer prediction using Artificial Neural Network and Support Vector Machine.- Tracking Misleading News of COVID-

19 within Social Media.- Energy aware Multi-chain PEGASIS in WSN: A Q-Learning Approach.- TEXTLYTIC: Automatic Project Report Summarization using NLP Techniques.- Management of Digital Evidence for Cybercrime Investigation- A Review.- Realtime Human Pose Detection and Recognition using Mediapipe.- C

harge the Missing Data with Synthesized Data by using SN-Sync technique.- Discovery of Popular Languages from GitHub Repository: A Data Mining.- Performance Analysis of Flower Pollination Algorithms using Statistical Methods: An Overview.- Counterfactual causal analysis on structured data.- Crime An

alysis Using Machine Learning.- Multi-Model Neural Style Transfer for Audio and Image (MMNST).- Feature Extraction from Radiographic Skin Cancer Data using LRCS.- Shared Filtering-Based Advice Of Online Group Voting.- Mining Challenger From Bulk Preprocessing Datasets.- Prioritized Load Balancer for

minimization of VM and Data Transfer Cost in Cloud Computing.- Smart Underground Drainage Management System using Internet of Things.- Iot Based System For Health Monitoring Of Arrhythmia Patients Using Machine Learning Classification Techniques.- EHR-Sec: A Blockchain based Security System for Ele

ctronic Health.- End to End Speaker Verication For Short Utterances.- A Comprehensive Analysis on Multi-class Imbalanced Bigdata Classification.- Efficient Recommender System for Kid’s Hobby using Machine Learning.- Programming Associative Memories.- Novel Associative Memories based on Spherical Sep

erability.- An Intelligent Fog-IoT based Disease Diagnosis Healthcare System.- Pre-processing of linguistic divergence in English- Marathi language pair in Machine Translation.- Deep Learning Approach for Image Based Plant Species Classification.- Inventory, Storage and Routing Optimization with Hom

ogeneous Fleet in the Secondary Distribution Network Using a Hybrid VRP, Clustering and MIP Approach.- Evaluation and Comparison of various static and dynamic load balancing strategies used in cloud computing.- Dielectric Resonator Antenna with Hollow Cylinder for Wide Bandwidth.- Recent Techniques

in Image Retrieval: A Comprehensive Survey.- Medical Image Fusion Based On Energy Attribute and PA-PCNN in NSST Domain.- Electrical Shift and Linear Trend artifacts removal from single channel EEG using SWT-GSTV model.- Forecasting Hourly Electrical Energy output of a Power plant using parametric mo

dels.- Cataract detection using Deep Convolutional Neural Networks.- Comparative Analysis of Body Biasing Techniques for Digital Integrated Circuits.- Optical Mark Recognition with Facial Recognition System.- Evaluation of Antenna Control System for Tracking Remote Sensing Satellites.- Face Recognit

ion using Cascading of HOG and LBP Feature Extraction.- Design of wideband patch Antenna using metamaterial and Dielectric resonator Structures.- Call Admission Control for Interactive Multimedia Applications in 4G Networks.- AI-based Pro-Mode in Smartphone Photography.- A ML-Based Model to Quantify

Ambient Air Pollutant.- Multimodal biometric system using Undecimated Dual-Tree Complex Wavelet Transform.- Design of Modified Dual - Coupled Linear Congruential Generator Method Architecture for Pseudorandom Bit Generation.- Performance Analysis of PAPR and BER in FBMC-OQAM With Low-complexity Usi

ng Modified Fast Convolution.- Sign Language Recognition using Convolution Neural Network.- Key Bas

Air cylinder進入發燒排行的影片

不同接觸壓力對表面硬化鑄鐵之磨耗研究

為了解決Air cylinder的問題，作者宋品震 這樣論述：

本研究探討FC350波來體基片墨鑄鐵與FCD450肥粒體基球墨鑄鐵兩種原料經過氣體軟氮化處理、不同的沃斯田鐵化溫度為840℃、880℃和940℃油淬後分別再進行200℃低溫回火後以及調質後再去做氣體軟氮化等三種製程的組織與硬度特性，並討論不同荷重的接觸壓力下對於其磨耗性能的影響。FC350波來體基灰鑄鐵塊材表面做高週波淬火感應硬化後，並分別做高週波線上回火以及4°C冰水冷處理，對FC350灰鑄鐵感硬硬化層組織及硬度特性之比較，並針對各種階段測試之高週波參數熱處理件之殘留沃斯田體含量及殘留應力進行量測，再進行硬度檢測及有效硬化深度、表面硬化層和心部組織觀察。 實驗結果顯示FC350與FC

D450經過840℃淬火回火後，其組織為淬火回火麻田散體，FCD450還可觀察到許多殘留肥粒體，而經過880℃和940℃淬火回火後，可以觀察到白色殘留沃斯田體的開始出現，但FCD450在880℃淬火回火後還是有些許的殘留肥粒體存在，隨著沃斯田體化溫度越高，殘留沃斯田體區域會越多。微硬度檢測可以發現兩種原料不管是否有調質，白色氮化層厚度皆約10μm且硬度都大於950HV。磨耗試驗發現兩種鑄鐵淬火回火後有著起始壓力增加，重量損失增加；沃斯田體化越高，重量損失減少的趨勢，但FC350在940℃淬火回火後有大量殘留沃斯田體，故重量損失反而增加。而氣體軟氮化處理之兩種試片，有無經過調質的試片重量損失相差

不大，所以並不用先調質再去做氣體軟氮化，也能得到良好的磨耗效益。 針對FC350灰鑄鐵使用功率6.4KW載台移速85(0.8mm/s)之淬火試片之硬化層硬度最高為775HV0.3，有效硬化深度(550HV)約為2250μm，殘留沃斯田體含量高達20.9%。功率5.1KW載台移速120(0.8mm/s)之線上回火試片硬化層硬度仍可以保持在600HV0.3(55HRC)以上，殘留沃斯田體含量可以下降至3%以下。經過4℃冰水冷處理20分鐘再使用空氣爐180℃低溫回火一小時，也可以降低殘留沃斯田體含量至11.5%。由磨耗試驗證實高週波感應硬化後之試片相較於原材能增加其耐磨性，經過線上回火與冷處理

過後會降低殘留沃斯田體含量，磨耗效益更優於高週波淬火過後之試片。

BSA Sunbeam & Triumph Tigress Scooter 1959-1965 Workshop Manual

為了解決Air cylinder的問題，作者 這樣論述：

190 pages, and more than 120 illustrations and charts, size 8.25x10.75 inches. This manual is a compilation of three factory publications including the owner’s instruction manual, the parts/spares manual and a set of service sheets. These publications cover all three variations of the 175cc two-s

troke and the 250cc four-stroke and electric start models manufactured from 1959-1965. Neither BSA nor Triumph ever published a workshop manual for these models, however, the combination of these three publications provides the most comprehensive maintenance and repair information that was ever made

available from the manufacturer.MANUALS & TECHNICAL PUBLICATIONS: Maintenance, repair and service information was issued under both the BSA and Triumph name. However, as the machines were identical in all aspects, any technical documentation can be applied to either manufacturer without hesitat

ion.SERVICE SHEETS: Beginning in December 1959, both BSA and Triumph began publishing repair, overhaul and technical information in the form of individual (dealer only) ’Service Sheets’. It should be noted that it was never intended that these service sheets would be distributed to the general publ

ic. However, they were eventually combined into a single publication and released under both the BSA and Triumph names, the contents being identical in either case. INSTRUCTION MANUAL: Both BSA and Triumph published an identical ’Instruction Manual’ the only difference being the name on the front c

over. These publications were somewhat more detailed than typical ’owner’s manuals’ as they included overhaul information in addition to general maintenance and adjustments. As these instruction manuals were included with each new scooter purchased, there were a number of ’editions’ published during

the lifetime of the model, however, the contents remained basically unchanged. When combined with the ’Service Sheets’ they are a reasonable substitute for a workshop manual. PARTS (or) SPARES MANUAL: The parts manuals are also identical and include exploded component diagrams that are extremely h

elpful in the rebuilding or restoration process.ADDITIONAL DATA: There is an addendum to the rear of this manual that contains a number of communications that were sent from the UK factory to their US distributors. These documents are somewhat rare and they may be of help in assisting in the mainte

nance of one of these machines.DESIGN & GENERAL SPECIFICATIONS: Designed by Edward Turner (Triumph) and sold under both BSA and Triumph brand names to take advantage of established distribution networks, this badge engineering was one of the last uses of the Sunbeam name. The differences between

the BSA Sunbeam and Triumph Tigress were entirely cosmetic-the former in polychromatic green paint, also two-tone red and cream, with a BSA badge; the latter in a shell blue or mimosa and ivory (two-tone) with a Triumph badge.Introduced in late 1959, the scooter was available with a 250 cc four-str

oke twin (10hp), or 175cc two-stroke single cylinder engine (7.5hp). Both engines were forced-air-cooled. The two-stroke was a development of the BSA Bantam engine but the four-stroke was a completely new parallel-twin with a gear drive to the gearbox. The contact-breaker fed two separate ignition c

oils, each of which connected directly to its own spark plug without the need for a distributor. Drive to the rear wheel was by a fully enclosed chain in an oil bath. Both versions had four, foot-operated gears. Some of the 250 twins were fitted with an electric starter and a 12 volt (not 6 volt) el

ectrical system, they were identified as either B2S (Sunbeam) or TW2S (Triumph). The 250 cc four-stroke model was discontinued in 1964 and the 175cc two-stroke model in 1965.

奈米石墨烯機油基礎性質與實車應用之研究

為了解決Air cylinder的問題，作者楊顯皓 這樣論述：

本研究將奈米石墨烯添加到PGO SL 10W/40 原廠機油中，後續進行基礎性質及實車試驗。基礎性質實驗包括沉降試驗、磨潤試驗、黏度試驗、比熱試驗以及熱傳導試驗；實車試驗包含ECE-40、定速(50 km/h)、平路與爬坡試驗，同時觀察各測試項目數據，分別為引擎性能、廢氣排放、粒狀汙染物、實車溫度測試。在基礎性質試驗中，沉降試驗發現，在觀察沉澱現象的第30天之後，懸浮性最佳濃度為0.01 wt.%。磨潤試驗顯示，0.1 wt.%的磨潤效果最佳，其改善率為72.34 %。黏度試驗顯示，0.03 wt.%在高溫狀態下黏度平均下降了26.51 %。比熱試驗顯示，0.03 wt.%較原廠機油平均下降

11.76 %。熱傳導試驗顯示，0.03 wt.%熱傳導係數平均提升10.43 %。最後，由綜合評比顯示，0.03 wt.%為最佳比例。實車試驗中， ECE-40與定速(50 km/h)之平均能源效率改善3.27 %，實車溫度表明，機油溫度的改善率能在5 %以內，高燃燒效率讓引擎室相關件構呈現高溫狀態。廢氣及粒狀污染物排放結果顯示，ECE–40 行車型態下奈米石墨烯機油之CO2的排放量大於原廠機油，小粒徑顆粒數比原廠機油還要多。在定速行車型態、平路以及爬坡行車型態下，結果顯示奈米石墨烯機油的CO2排放量與PM排放量都比原廠機油還要少。