嶳壓尋媶幒
敪昞榑暥
- “Fault Detection and Identification Method: 3D-CNN Combined with Continuous Wavelet Transform," Chinatsu Ukawa and Yoshiyuki Yamashita, Computers & Chemical Engineering, 189, 108791 (2024)
- “GCN-based Soft Sensor Utilizing Process Flow Diagram," Hiroki Horiuchi and Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 53, 457-462 (2024)
- “Novel Panoramic Indicators for Process Operation Stability Assessment through Clustering and Frequency Analysis," Tetsuya Wada and Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 53, 1741-1746 (2024)
- “Data-driven Process Variable Prediction Using Augmented Orthogonal Autoencoder," Junqing Xia and Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 53, 2677-2682 (2024)
- “Enhancing Fault Identification in Chemical Plants: A Multimodal Approach Combining CNN and Continuous Wavelet Transform," Chinatsu Ukawa and Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 53, 2695-2700 (2024)
- “Stiction-model-based re-tuning of PI controller for industrial process control loops," Masaharu Daiguji and Yoshiyuki Yamashita, SICE Journal of Control, Measurement, and System Integration, 17, 10-18 (2024)
- “Multi-Target Regression via Target Combinations using Principal Component Analysis," Takafumi Yamaguchi and Yoshiyuki Yamashita, Computers & Chemical Engineering, 181, 108510 (2024)
- “Fault Detection and Diagnosis for Chemical Process based on Deep Neural Networks with Continuous Wavelet Transform," Chinatsu Ukawa and Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 52, 1679-1684 (2023)
- “Multiscale design methdology for flow reactors supporting rapid prototyping," Tomoyui Taguchi, Shigeru Kado, Toshiyuki Watanabe, Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 52, 1973-1978 (2023)
- “晄揔愗側PID僷儔儊乕僞愝掕偵傛傞帺椼怳摦墳摎偺帺摦専弌偲PID嵞挷惍," 戝洂 栁庽, 嶳壓 慞擵, 壔妛岺妛榑暥廤, 48, 131-140 (2022)
- “Construction of Database and Data-driven Statistical Models for the Solubility of Nanomaterials in Organic Solvents," Junqing Xia and Yoshiyuki Yamashita, Computer-Aided Chemical Engineering, 49, 187-192 (2022)
- “Optimization of an air-cooler operation in an industrial distillation column," Masaharu Daiguji and Yoshiyuki Yamashita, Computer-Aided Chemical Engineering, 49, 349-354 (2022)
- “Formulation of integrated key performance indicator dashboard for chemical plants," Yasunori Kobayashi and Yoshiyuki Yamashita, Computer-Aided Chemical Engineering, 49, 1369-1374 (2022)
- “Process Monitoring Based on Deep Neural Networks with Continuous Wavelet Transform," Chinatsu Ukawa and Yoshiyuki Yamashita, Computer-Aided Chemical Engineering, 49, 1381-1386 (2022)
- “Design of Value Function Trajectory for State of Control in Continuous Manufacturing System," Tomoyuki Taguchi, Toshiyuki Watanabe, Shigeru Kado and Yoshiyuki Yamashita, Computer-Aided Chemical Engineering, 49, 2173-2178 (2022)
- “忲棷搩偵偍偗傞暋悢偺僼傽儞傪帩偮僄傾僋乕儔惂屼偺嵟揔壔," 戝媨巌棟惏, 嶳壓慞擵, 壔妛岺妛榑暥廤, 48, 93-98 (2022)
- “Online Batch Process Monitoring with a Combination of Normal Operating History Data and Physical Knowledge," Junqing Xia and Yoshiyuki Yamashita, J. Chem. Eng. Japan, 55, 38-50 (2022)
- “An approach for Stiction Compensation in Industrial Process Control Valves," Masaharu Daiguji and Yoshiyuki Yamashita, Computers & Chemical Engineering, 158,107641 (2022)
- “Closed-loop Identification and PID Retuning of Self-excited Oscillatory Process from Poor PID Controller Tuning," Shigeki Ootakara and Yoshiyuki Yamashita, J. Chem. Eng. Japan,54, 672-684 (2021)
- “Quality prediction for multi-grade batch process using sparse flexible clustered multi-task learning," Takafumi Yamaguchi and Yoshiyuki Yamashita, Computers & Chemical Engineering, 150, 107320 (2021)
- “Qualitative Modeling for Fault Diagnosis Based on Physical Knowledge and Historical Operation Data under Normal Operating Conditions," Junqing Xia and Yoshiyuki Yamashita, J. Chem. Eng. Japan, 53, 771-786 (2020)
- “IMC棟榑偵婎偯偔壔妛僾儔儞僩塼柺惂屼偵揔偟偨PID惂屼愝寁," 戝洂 栁庽, 嶳壓 慞擵, 壔妛岺妛榑暥廤, 46, 211-218 (2020)
- “The Role of Big Data in Industrial (Bio)chemical Process Operations," I.A.Udugama, C.L.Gargalo, Y.Yamashita et al., Ind. Eng. Chem. Res., 59, 34, 15283-15297 (2020)
- “Physical-Principle Based Extended Attributes for Process Fault Detection," Junqing Xia, Yoshiyuki Yamashita, J. Chem. Eng. Japan, 53, 337-350 (2020)
- “僗儔儕乕崿崌憛偺旕慄宍屌宍暘斾惂屼偲幚憰偺偨傔偺娙棯壔," 抾揷峗怢丆嶳壓慞擵丆壔妛岺妛榑暥廤, 45, 188-196 (2019)
- “Process Identification and Design of Robust PI Controller for a Self-oscillating Integral Process with Dead Time," Hironobu Takeda and Yoshiyuki Yamashita, Journal of hemical Engineering of Japan, 52, 447-454 (2019)
- “儌僨儖梊應惂屼偵婎偯偔愊暘僾儘僙僗偺僒儞僾儖I-P惂屼愝寁," 抾揷峗怢, 嶳壓慞擵, 壔妛岺妛榑暥廤, 44, 201-206 (2018)
- “A Hybrid Approach for Process Optimization of Distillation Reflux Condition using First Principle Models and Least Squares Regression," Tomoyuki Taguchi and Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 44, 229-234 (2018)
- “Real-time monitoring of saccharide concentrations in simulated moving-bed chromatography," Koji Inagaki and Yoshiyuki Yamashita, Journal of Chemical Engineering of Japan, 50, 136-141 (2017)
- “嬤愒奜暘岝朄傪梡偄偨棳摦憌姡憞僾儘僙僗偵偍偗傞姡憞廔揰偺帺摦敾掕," 堫奯岶擇丆嶳壓慞擵, 壔妛岺妛榑暥廤, 43, 29-36 (2017)
- “Batch Process Monitoring based on Fuzzy Segmentation of Multivariate Time-Series," Harakhun Tanatavikorn and Yoshiyuki Yamashita, Journal of Chemical Engineering of Japan, 50, 53-63 (2017)
- “棳摦憌姡憞僾儘僙僗偵偍偗傞悈暘検偺儕傾儖僞僀儉儌僯僞儕儞僌," 堫奯岶擇丆嶳壓慞擵, 壔妛岺妛榑暥廤, 42, 179-185 (2016)
- “Crude palm oil (CPO) extraction using hot compressed water (HCW)," Mohd Sharizan Md Sarip, Noor Azian Morad, Yoshiyuki Yamashita, Tomoya Tsuji, Mohd Azizi Che Yunus, Mustafa Kamal Abd Aziz, Hon Loong Lam, Separation and Purification Technology, 169, 103-112 (2016)
- “Fuzzy Treatment Method for Outlier Detection in Process Data," Harakhun Tanatavikorn and Yoshiyuki Yamashita, Journal of Chemical Engineering of Japan, 49, 864-873 (2016)
- “Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network," Mohd Sharizan MD SARIP, Yoshiyuki YAMASHITA, Noor Azian MORAD, Mohd Azizi CHE YUNUS and Mustafa Kamal ABDUL AZIZ, Journal of Chemical Engineering of Japan, 49, 614-621 (2016)
- “Improving Data Reliability for Process Monitoring with Fuzzy Outlier Detection," Harakhun Tanatavikorn, Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 37, 1595-1600 (2015)
- “Practical Application of Model Identification based on ARX Models with Transfer Functions," Junichiro Kon, Yoshiyuki Yamashita, Taro Tanaka, Atsushi Tshiro and Masaharu Daiguji, Control Engineering Practice, 21, 195-203 (2013)
- “Optimal Tuning Parameters of a PID Controller based on Reference Trajectory," Junichiro Kon and Yoshiyuki Yamashita, Journal of Chemical Engineering of Japan, 45, 968-982 (2012)
- “Semi-qualitative Trend Analysis for the Monitoring of Process Control Loops," Y. Yamashita, Journal of Advanced Computational Information Intelligence and Intelligent Informatics, 16, 503-507 (2012)
- “Knowledge-based attributes generation for data-driven fault diagnosis in process systems,", Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 31, 310-314 (2012)
- “ Optimization Based Approach for Industrial PI Controller Design for Optimal Servo Control of Integrating Process with Constraints," Viet Ha Nguyen, Yoshiyuki Yamashita and Moonyong Lee, Journal of Chemical Engineering of Japan, 44, 34-354 (2011)
- “ An Improved Model for Cross-Flow Microfiltration Properties of Lactic Acid Fermentation Broth," Fitriani, Yoshiyuki YAMASHITA and Takao KOKUGAN, Journal of Chemical Engineering of Japan, 43, 993-997 (2010)
- “ ARX儌僨儖傪巊梡偟偨儌僨儖梊應惂屼," 崺弫堦榊, 嶳壓慞擵, 壔妛岺妛榑暥廤, 36, 394-404 (2010)
- "Shape Based Detection of Stiction," M.Kano, Y.Yamashita and H. Kugemoto, Advances in Industrial Control, 103-113 (2009)
- “ Fault Detection in Chemical Process using Discriminant Analysis and Control Chart," Xudong Pei, Yoshiyuki Yamashita, Masatoshi Yoshida, Shigeru Matsumoto, Journal of Chemical Engineering of Japan, 41, 25-31 (2008)
- “ 暋悢偺嬊強儌僨儖傪梡偄偨惂屼宯偺僐乕僨傿僱乕僔儑儞朄," 嶁憅媊峃, 栰揷尗, 惣扟峢堦, 幁撪椙彨, 嶳壓慞擵, 媑揷夒弐, 徏杮斏, 壔妛岺妛榑暥廤, 33, 346-353 (2007)
- “廩揢憌偵偍偗傞擬暔惈僷儔儊乕僞偺僆儞儔僀儞摨掕,"
浟岝婸丄媑揷 夒弐丄嶳壓 慞擵丆徏杮 斏,
壔妛岺妛榑暥廤, 33, 43-47 (2007)
"Online Identification of Thermal Properties in a Grannular-Bed," Guang-Hui Cui, Masatoshi Yoshida, Yoshiyuki Yamashita and Shigeru Matsumoto, Kagaku Kogaku Ronbunshu, 33, 43-47 (2007) - “An Automatic Method for Detection of Valve Stiction in Process Control Loops," Yoshiyuki Yamashita, Control Engineering Practice, 14, 503-510 (2006)
- “Diagnosis of oscillations in process control loops," Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 21, 1605-1610 (2006)
- “Discriminant analyusis and control chart for the fault detection and identification," Xudong Pei, Yoshiyuki Yamashita, Masatoshi Yoshida, Shigeru Matsumoto, Computer Aided Chemical Engineering, 21, 1281-1286 (2006)
- “Application of a hybrid control approach to highly nonlinear chemical processes," Yoshiyasu Sakakura,, Masaru Noda, Hirokazu Nishitani, Yoshiyuki Yamashita, Masatoshi Yoshida, Sigeru Matsumoto, Computer Aided Chemical Engineering, 21, 1515-1520 (2006)
- “嬻婥暘棧PSA僾儘僙僗偺夝愅偲嵟揔壔," 媑揷 夒弐丄Patiphon Koompai丄嶳壓 慞擵丆徏杮 斏, 壔妛岺妛榑暥廤, 31, 441-449 (2005)
- “壜曄僌儕僢僪朄傪梡偄偨怗攠廩揢憌斀墳婍偵偍偗傞儂僢僩僗億僢僩偺悇掕," 朷寧岹婓丄媑揷 夒弐丄嶳壓 慞擵丆徏杮 斏, 壔妛岺妛榑暥廤, 31, 338-345 (2005)
- “旕摍壏僋儘儅僩僌儔僼傿乕偵傛傞懡惉暘僈僗偺擹弅暘棧," 媑揷 夒弐丄朄梂 梇巌丄嶳壓 慞擵丆徏杮 斏, 壔妛岺妛榑暥廤, 31, 35-40 (2005)
- “擖弌椡慄宍壔朄傪墳梡偟偨擬岎姺婍偺旕慄宍儌僨儖梊應惂屼," 媑揷 夒弐丄彫旜廏巙丄Tipaya Leelakiatesakul, 嶳壓 慞擵丆徏杮 斏, 寁應帺摦惂屼妛夛嶻嬈榑暥廤, 4, No.2, 10-16 (2005)
- “Concentration Estimation for Decentralized Temperature Control of a Packed-Bed Reactor," Masatoshi Yoshida, Emrod Elisante, Yoshiyuki Yamashita and Shigeru Matsumoto, Journal of Chemical Engineering of Japan, 37, 1419-1422 (2004)
- “Qualitative Analysis for Detection of Stiction in Control Valves," Yoshiyuki Yamashtia, Lecture Notes in Artificial Intelligence, 3214, Part II, 391-397 (2004)
- “A Clustered Class Distribution Approach for Process Monitoring and Fault Detection," Yoshiyuki Yamashita, Chemical Engineering Communications, 191, 302-313 (2004)
- “Dimensionality Reduction in Computer-Aided Decision Making," Yoshiyuki Yamashita, Computer Aided Chemical Engineering, 15, 358-363 (2003)
- “Synthesis of Operating Procedures for Material and Energy Conversions in a Batch Plant," Yoichiro Kaneko, Yoshiyuki Yamashita and Kenji Hoshi, Lecture Notes in Artificial Intelligence, 2773, 1273-1280 (2003)
- “Detection and Diagnosis of Oscillations in Process Plants," Toru Matuo, Hideki Sasaoka and Yoshiyuki Yamashita, Lecture Notes in Artificial Intelligence, 2773, 1258-1264 (2003)
- 乽晹暘僌儔僼摨宆扵嶕偵傛傞僶僢僠僾儘僙僗偺憖嶌庤弴惗惉朄乿,
惎寷巌丄嶳壓慞擵丄楅栘杛,
壔妛岺妛榑暥廤, 29, No.1, 107-111 (2003)
"Automatic Generation of Operating Procedures for Batch Process by Subgraph Isomorphism Algorithm," Kenji Hoshi, Yoshiyuki Yamashita and Mutsumi Suzuki, Kagaku Kogaku Ronbunshu, 29, No.1, 107-111 (2003) - “Decomopsition of time series by non-Gaussian state space model and its application to fault detection," Naoto Takeda and Yoshiyuki Yamashita, PSE Asia 2002, Taipei, December (2002)
- “Fault Detection based on Frequent Clusters," Yoshiyuki Yamashita, Frontiers in Artificial Intelligence, 69, 601-605 (2002)
- 乽CSTR偺壏搙惂屼偺偨傔偺娙扨側旕慄宍嵟揔儗僊儏儗乕僞乿,
怷杮 弫, 幁撪椙彨, 彫尨懢曘, 嶳壓 慞擵, 楅栘 杛, 壔妛岺妛榑暥廤丄28, 391-395 (2002)
"Simple Optimal Regulator for Temperature Control of A CSTR," Jun Morimoto, Yoshinobu Shikanai, Daisuke Obara, Yoshiyuki Yamashita and Mutsumi Suzuki, Kagaku Kogaku Ronbunshu, 28, 391-395 (2002) - "Automatic Generation of Operating Procedures for Batch Production Plants by Using Graph Representation," Kenji Hoshi, Kousuke Nagasawa, Yoshiyuki Yamashita and Mutsumi Suzuki, Journal of Chemical Engineering of Japan, 35, No.4, 377-383 (2002)
- “Automatic Generation of Operating Procedures for Batch Process Plants," Kenji Hoshi, Kousuke Nagasawa, Yoshiyuki Yamashita and Mutsumi Suzuki, KES 2001, Osaka, September (2001)
- 乽僋儔僗偺弌尰昿搙偵婎偯偔忬懺曄壔偺専弌朄乿,
嶳壓慞擵丄彫怷 峗丄楅栘杛丄 壔妛岺妛榑暥廤丄27, No.3, 400-402 (2001)
"Detection of State Change based on Class Frequencies," Yoshiyuki Yamashita, Hiroshi Komori and Mutsumi Suzuki, Kagaku Kogaku Ronbunshu, 27, No.3, 400-402 (2001) - “Data based approach for intelligent process monitoring," Yoshiyuki Yamashita, PSE Asia 2000, Kyoto, December (2000)
- 乽僟僀僫儈僢僋僾儘僌儔儈儞僌偵傛傞僆儞儔僀儞懡曄悢旕慄宆儗僊儏儗乕僞乿,
怷杮 弫, 嶳壓 慞擵, 楅栘 杛, 壔妛岺妛榑暥廤丄26, No.5, 693-697 (2000)
"On-line Optimal Regulator for Multi-Variable Non-Linear Systems by Dynamic Programming," Jun Morimoto, Yoshiyuki Yamashita and Mutsumi Suzuki, Kagaku Kogaku Ronbunshu, 26, No.5, 693-697 (2000) - “On-Line Optimal Control Strategy for A Consecutive Reaction System," Jun Morimoto, Yoshiyuki Yamashita and Mutsumi Suzuki, Journal of Chemical Engineering of Japan, 33, No.3, 449-455 (2000)
- “Supervised Learning for the Analysis of Process Operational Data," Yoshiyuki Yamashita, Computers and Chemical Engineering, 24S, 471-474 (2000)
- 乽ART2僯儏乕儔儖僱僢僩儚乕僋偵傛傞億儞僾惈擻偺楎壔恌抐巟墖乿,
嶳壓慞擵丄彫怷 峗丄惵栘 塰帯丄嫶杮 嬘擇,
壔妛岺妛榑暥廤, 26, No.3, 457-461 (2000)
"Computer Aided Monitoring of Pump Efficiency by Using ART2 Neural Networks", Yoshiyuki Yamashita, Hiroshi Komori, Eiji Aoki and Kinji Hashimoto, Kagaku Kogaku Ronbunshu, 26, No.3, 457-461 (2000)
夝愢丒彂愋側偳
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 88, No.10, 464-465 (2024)
- 乽惢憿嬈偺僨僕僞儖曄妚偲僗儅乕僩曐埨乿丆嶳壓丆僸儏乕儅儞僼傽僋僞乕僘丆29, No. 1, 4-7 (2024)
- 乽AI/IoT傪妶梡偟偨壔妛僾儔儞僩偺埨掕丒埨慡憖嬈乿丆嶳壓丆擔杮壔妛夛曇丆壔妛偵偍偗傞忣曬丒俙俬偺妶梡丆壔妛摨恖 (2024)
- <姫摢僼僅乕僇僗>乽僾儔儞僩憖嬈偺僗儅乕僩壔偲寁憰偺偝傜側傞栶妱乿, 寁憰, 67, No. 5, 9-11 (2024)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 87, No.10, 450-451 (2023)
- 乽壔妛僾儔儞僩偺塣揮丒曐庣偵偍偗傞DX乿, 嶳壓丆寁應偲惂屼, 62, No. 7, 384-388 (2023)
- 乽僗儅乕僩曐埨偺尰忬偲壽戣乿, 嶳壓丆寁應媄弍, 51, No. 4, 14-16 (2023)
- 乽壔妛僾儔儞僩偵偍偗傞AI妶梡偲怣棅惈乿丆嶳壓丆擔杮婡夿妛夛 嶻嬈丒壔妛婡夿偲埨慡晹栧僯儏乕僗儗僞乕, No.38, 7-8 (2023)
- <姫摢僼僅乕僇僗>乽僗儅乕僩曐埨偲梊挍娔帇丒梊抦曐慡乿, 嶳壓丆 寁憰, 66, No. 1, 11-12 (2023)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 86, No.10, 496-497 (2022)
- 乽AI巟墖偵傛傞壔妛僾儔儞僩偺嬤枹棃乿, 嶳壓丆暘棧媄弍, 51, No. 6, 391-394 (2021)
- 乽惢憿僾儘僙僗偺寁應丒儌僯僞儕儞僌偲婡夿妛廗乿, 嶳壓丆暡懱媄弍, 13, No. 10, 35-37 (2021)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 85, No.10, 533-534 (2021)
- <姫摢僼僅乕僇僗>乽梊挍娔帇恌抐偺僗儅乕僩壔乿, 嶳壓丆寁憰, 64, No.10, 11-12 (2021)
- 乽惢憿嬈偺塣揮憖嬈偲僗儅乕僩曐埨乿, 嶳壓, 寁應媄弍, 49, No.8, 4-6 (2021)
- <姫摢僼僅乕僇僗>乽僾儔儞僩偺堎忢専抦丒恌抐偲AI妶梡乿丆嶳壓丆寁憰丆64, No.3, 9-11 (2021)
- 乽壔妛僾儔儞僩偺僨僕僞儖壔乿丆嶳壓丆壔妛憰抲丆63, No.3, 65-67 (2021)
- <姫摢僼僅乕僇僗>乽偙傟偐傜偺娔帇惂屼僔僗僥儉偲AI乿丆嶳壓丆寁憰丆63, No.12, 9-10 (2020)
- 乽僾儘僙僗嶻嬈偺僨僕僞儖妚怴乿丆嶳壓丆寁應媄弍丆48, No.10, 1-3 (2020)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 84, No.10, 506-507 (2020)
- 乽AI偱曄傢傞壔妛僾儔儞僩乿丆嶳壓丆暘棧媄弍丆50, No. 2, 2-4 (2020)
- <姫摢僼僅乕僇僗>乽僣乕儖偲偟偰偺AI丒IoT偲寁憰惂屼媄弍幰乿丆嶳壓丆寁憰丆63, No.1, 7-9 (2020)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 83
No.10, 600-601 (2019) - 亙姫摢尵亜乽僾儔儞僩偵偍偗傞AI妶梡乿丆嶳壓丆墶壨媄曬, 62, No. 2, 55-56 (2019)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 83
No.10, 572-573 (2018) - <姫摢奣榑>乽AI偲僗儅乕僩岺応乣墳梡柺偐傜傒偨帇揰丒榑揰乿, 嶳壓, 寁憰, 61, No.5, 7-9 (2018)
- 乽壔妛僾儔儞僩偺僗儅乕僩壔乿丆嶳壓丆壔妛岺妛丆82, No.1, 22-24 (2018)
- 乽僗儅乕僩岺応幚尰傊偺怴偨側戀摦乿, 嶳壓, 寁憰, 60, No.12, 9-10 (2017)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 81
No.10, 547-548 (2017) - <媄弍夝愢>乽塣揮丒愝旛娗棟偵學傞僗儅乕僩壔偲埨慡憖嬈乿丆嶳壓丆寁憰丆60, No.5丆11-12 (2017)
- 亙姫摢尵亜乽壖憐寁應偵傛傞塣揮惂屼偺怴偨側壜擻惈乿, 嶳壓, 壔妛岺妛, 80, No.12, (2016)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 80
No.10, 638-639 (2016) - <姫摢奣榑>乽IoT偵傛偭偰幚尰偡傞惂屼僔僗僥儉偺枹棃乿丆嶳壓丆寁憰丆59, No.8丆7-8 (2016)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 79
No.10, 763-764 (2015) - 亙姫摢尵亜乽僾儔儞僩塣揮偺帺摦壔偺愭偵乿, 嶳壓, 僸儏乕儅儞僼傽僋僞乕僘, 20, No.1, 1 (2015)
- 乽愝旛娗棟丗僗儅乕僩壔偐傜僋儔僂僪妶梡傊乿丆嶳壓丆 寁憰丆58, No.5, 6-9 (2015)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 78
No.10, 697-698 (2014) - 亙姫摢尵亜乽働儈僇儖僄儞僕僯傾偲忣曬妶梡乿, 嶳壓, 壔妛岺妛, 78, No.1, 1 (2014)
- 乽僔僗僥儉夝愅乿乗僔儕乕僘亙怴偟偄壔妛岺妛亜係丆崟揷丆嶳壓丆徏杮丆挬憅彂揦丆ISBN978-4-254-25604-8丂C3358 (2013)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 77, No.10, 713-714 (2013)
- 乽壔妛僾儔儞僩偺塣揮惂屼偵偍偗傞忣曬媄弍乿, 嶳壓, 擔杮壔妛夛忣曬壔妛晹夛帍, 31, No.1, 15-18 (2013)
- 乽悢抣僨乕僞偺夝愅張棟偲僾儘僙僗僔僗僥儉岺妛乿, 嶳壓, 壔妛岺妛, 76, No.12, 734-736 (2012)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓, 壔妛岺妛, 76, No.10, 602-603 (2012)
- 亙姫摢尵亜榑暥廤摿廤崋乽嶻嬈墳梡暘栰偵峷專偡傞惂屼媄弍偺嵟慜慄乿偵偮偄偰, 塇崻, 嶳壓, 鋞栘, 揷尨, 寁應帺摦惂屼妛夛榑暥廤, 47, No.9, 355 (2012)
- 乽寁應丒儌僯僞儕儞僌媄弍乿乗壔妛寁應丒寁憰偺嵟愭抂偲偦偺墳梡乗, 嶳壓慞擵娔廋, 僔乕僄儉僔乕弌斉, ISBN978-4-7813-0406-9 (2011)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓丆栰揷, 壔妛岺妛, 75, No.10, (2011)
- 乽僌儘乕僶儖幮夛偵偍偗傞寁應惂屼僄儞僕僯傾乿丄嶳壓, 寁應偲惂屼丄 50, No.4, 258-260 (2011)
- 亙姫摢尵亜乽忣曬壔幮夛偵偍偗傞榑暥帍乿, 嶳壓, 壔妛岺妛, 75, No.1, 1 (2011)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓丆嫶捾, 栰揷, 壔妛岺妛, 74, No.10, (2010)
- 乽寁應偲儌僯僞儕儞僌乿, 嶳壓, 壔妛岺妛, 74, No.8, 378-380 (2010)
- 乽偙傟偐傜偺僾儘僙僗惂屼媄弍幰偵偮偄偰乿, 嶳壓, 寁應偲惂屼, 49, No.2, 119-121 (2010)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓丆嫶捾, 壔妛岺妛夛帍, 73, No.10, (2009)
- 乽寁憰媄弍偺嵟怴摦岦乿, 彫惣怣彶, 嶳壓慞擵, 僔僗僥儉惂屼忣曬妛夛帍, 52, No.8, 298-303 (2008)
- 乽壔妛岺妛擭娪丗僾儘僙僗僔僗僥儉岺妛慡懱乿丆嶳壓丆壛擺丆栰揷, 壔妛岺妛, 72, No.10, 542-544 (2008)
- 乽僾儘僙僗惂屼儖乕僾偺掕惈揑摦摿惈夝愅偲屘忈恌抐乿, 嶳壓慞擵, 僔僗僥儉惂屼忣曬妛夛帍, 51, No.12, 557-562 (2007)
- 乽
僾儘僙僗嶻嬈偵偍偗傞僨乕僞儅僀僯儞僌妶梡乿
嶳壓慞擵, 擔杮壔妛夛忣曬壔妛晹夛帍, 25, No.3, 57-61 (2007) - 乽怗攠廩揢憌斀墳婍偵偍偗傞忬懺悇掕媄弍乿
媑揷夒弐, 嶳壓慞擵, 徏杮斏, 働儈僇儖僄儞僕僯傾儕儞僌丄 51, No.4, 302-305 (2006) - 乽僾儘僙僗偺儌僨儕儞僌偲惂屼丒娔帇乿
撪揷寬峃, 嶳壓慞擵, 壛擺妛, 寁應偲惂屼, 44 No.2, 83-85 (2005) - 乽僾儘僙僗僔僗僥儉偺忬懺娔帇乿
嶳壓慞擵, 壛擺妛, 寁應偲惂屼, 44 No.2, 120-124 (2005) - 乽僾儘僙僗惂屼宯偺惂屼惈擻昡壙偲娔帇乿
壛擺妛, 嶳壓慞擵, 寁應偲惂屼, 44 No.2, 125-129 (2005)
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- “壔妛僾儔儞僩偺DX丗AI偺恑曕偲僗儅乕僩岺応" 嶳壓慞擵丆壔妛岺妛夛娭搶巟晹 戞31夞僀僽僯儞僌僙儈僫乕丆12寧16擔丆僆儞儔僀儞 (2024)
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- “僾儘僙僗僔僗僥儉岺妛偲僀儞僼僅儅僥傿僢僋僗," 嶳壓 慞擵, 戞67夞帺摦惂屼楢崌島墘夛, 11寧24擔, 昉楬 (2024)
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- “Robust Soft Sensors in Chemical Process Using PFD-Guided Graph Convolutional Networks," Hiroki Horiuchi and Yoshiyuki Yamashita, PSE Asia 2024, August 7, Penang (2024)
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- “壔妛僾儔儞僩偺塣揮丒曐庣偵偍偗傞AI丒IoT妶梡," 嶳壓慞擵, 儊儞僥僫儞僗丒儗僕儕僄儞僗Tokyo2024 傕偺偯偔傝摿暿島墘夛, 7寧24擔, 搶嫗(2024)
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- “Investigation of Plant Operational Stability Using New Informative Evaluation Based on Clustering Analysis," Tetsuya Wada and Yoshiyuki Yamashita, SICE 2023, September 8, Mie, Japan (2023)
- “Fault Detection and Identification for Chemical Process based on 3D-CNN with Continuous Wavelet Transform," Chinatsu Ukawa and Yoshiyuki Yamashita, FOPAM 2023, August 2, UC Davis, USA (2023)
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- “Importance of Smart Industrial Safety and Human Resource Development in the Digital Age," Y. Yamashita, Smart Industrial Safety Seminar in Indonesia, 30 September, Jakarta, Indonesia (2022)
- “Importance of Smart Industrial Safety and Human Resource Development in the Digital Age," Y. Yamashita, Smart Industrial Safety Seminar in Thailand, 26 September, Rayong, Thailand (2022)
- “忲棷搩偺嬻婥椻媝婍僼傽儞戜悢曄峏奜棎梷惂惂屼偺幚僾儘僙僗傊偺揔梡," 戝媨巌棟惏丆嶳壓慞擵丆壔妛岺妛夛戞53夞廐婫戝夛丆9寧15擔丆挿栰 (2022)
- “Expectations Toward Next-Generation Chemical Process Manufacturing," SICE2022 Workshoo1, 6 September, Kumamoto (2022)
- “Towards Smart Process Manufacturing," Yoshiyuki Yamashita, International Seminar on Process Systems Engineering, 9 August, Tokyo (2022)
- “壔妛僾儔儞僩偵偍偗傞AI妶梡偺嵟怴摦岦偲壽戣"(彽懸島墘), 傾僗儁儞僥僢僋AI僜儕儏乕僔儑儞僙儈僫乕, 6寧24擔, 僆儞儔僀儞 (2022)
- “傕偺偯偔傝DX僔僗僥儉帪戙偺媄弍摦岦"(婎挷島墘)丆嶳壓慞擵丆戞76夞VEC嫤巀僙儈僫乕丆6寧10擔, 儕儌乕僩乮2022)
- “Smart Factory"(彽懸島墘), 嶳壓慞擵, ISPE擔杮杮晹2022搙擭師戝夛, 5寧20擔, 搶嫗+Online (2022)
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- “旍椏僾儔儞僩偵偍偗傞摑崌KPI僟僢僔儏儃乕僪偺峔抸", 彫椦 桋揟丆嶳壓慞擵, 壔妛岺妛夛戞87擭夛丆3寧18擔丆僆儞儔僀儞 (2022)
- “岺嬈僾儘僙僗挷愡曎偺屌拝曗彏", 戝媨巌 棟惏, 嶳壓慞擵, 壔妛岺妛夛戞87擭夛丆3寧18擔丆僆儞儔僀儞 (2022)
- “晄揔愗側PID僷儔儊乕僞愝掕偵傛傞帺椼怳摦墳摎偺帺摦専弌偲PID嵞挷惍", 戝洂 栁庽, 嶳壓慞擵, 壔妛岺妛夛戞87擭夛丆3寧18擔丆僆儞儔僀儞 (2022)
- “帺慠尵岅張棟媄弍傪梡偄偨壔妛僾儔儞僩偺堎忢暘椶," 揷拞堦攏丆嶳壓慞擵丆壔妛岺妛夛戞24夞妛惗敪昞夛丆3寧5擔丆僆儞儔僀儞 (2022)
- “嬅弅婍偵偍偗傞僗働乕儖偺壖憐儌僯僞儕儞僌," 嶳椊丆嶳壓慞擵丆壔妛岺妛夛戞24夞妛惗敪昞夛丆3寧5擔丆僆儞儔僀儞 (2022)
- “僾儘僙僗僔僗僥儉岺妛-偙傟傑偱偲偙傟偐傜-", 嶳壓慞擵丆僾儘僙僗僔僗僥儉岺妛戞143埾堳夛嵟廔尋媶夛, 2寧18擔丆嫗搒 (2022)
- “AI巟墖偺壔妛僾儔儞僩偺嬤枹棃"乮彽懸島墘乯, 嶳壓慞擵, 暘棧媄弍夛戞27夞娭惣抧嬫暘棧媄弍島墘夛乽婡夿妛廗偲壔妛僾儘僙僗偺嫤憂乿, 1寧26擔, 僆儞儔僀儞 (2022)
- “僾儘僙僗嶻嬈偵偍偗傞AI妶梡偲DX"(婎挷島墘), 嶳壓慞擵, 壔妛岺妛夛斀墳岺妛晹夛CVD斀墳暘壢夛 戞35夞僔儞億僕僂儉乽僪儔僀僾儘僙僗偵懳偡傞僾儘僙僗僀儞僼僅儅僥傿僢僋僗乿, 1寧25擔(2022)
- 僷僱儖摙榑乽寁憰惂屼偑恑傔傞枹棃偺僨僕僞儖岺応乿, 嶳壓慞擵, 戞52夞寁憰惂屼媄弍夛媍, 1寧19擔(2022)
- “戞巐師嶻嬈妚柦儔僀僩僴僂僗偵傒傞嬤枹棃岺応"(婎挷島墘)丆嶳壓慞擵丆戞74夞VEC嫤巀僙儈僫乕丆12寧24擔, 儕儌乕僩乮2021)
- “僫僲嵽椏僨乕僞儀乕僗偲AI 乣壔妛岺妛偲僨乕僞壢妛偺梈崌"(彽懸島墘), 嶳壓慞擵, Biennial Kyoto ChE Symposium 乣僫僲丒儊僝壔妛岺妛偺橂嵴偲揥朷乣, 12寧18擔, 嫗搒 (2021)
- “僗儅乕僩岺応偺幚尰偵岦偗偰側偡傋偒僐僩"(彽懸島墘), 嶳壓慞擵, JPMLF 2021, 12寧4擔 (2021)
- “Smart Factory偺幚尰偵岦偗偰"(彽懸島墘), 嶳壓慞擵, ISPE擔杮杮晹 搤婫戝夛, 12寧3擔 (2021)
- 僷僱儖摙榑乽惢栻岺応偺DX乿, 嶳壓慞擵, ISPE擔杮杮晹 搤婫戝夛, 12寧3擔, 搶嫗 (2021)
- “僾儘僙僗嶻嬈偵偍偗傞AI妶梡 乣尰忬偍傛傃嬤枹棃揥朷"(彽懸島墘), 嶳壓慞擵, 僔僗僥儉惂屼忣曬妛夛僙儈僫乕, 11寧30擔 (2021)
- 僷僱儖摙榑乽壔妛僾儔儞僩偵偍偗傞DX偺尰忬偲崱屻乿, 嶳壓慞擵, INCHEM Tokyo 2021 摿暿島墘夛, 11寧17擔, 搶嫗價僢僌僒僀僩 (2021)
- “壔妛僾儔儞僩偺DX偺尰忬偲採尵"(彽懸島墘), 嶳壓慞擵, INCHEM Tokyo 2021 摿暿島墘夛, 11寧17擔, 搶嫗價僢僌僒僀僩 (2021)
- “僾儔儞僩曐埨暘栰AI怣棅惈昡壙僈僀僪儔僀儞偵偮偄偰"(彽懸島墘), 嶳壓慞擵, 寁應帺摦惂屼妛夛戞80夞埨慡僒儘儞, 10寧1擔 (2021)
- “僫僲嵽椏DB偲暔惈梊應"(彽懸島墘), 嶳壓慞擵, 壔妛岺妛夛戞52夞廐婫戝夛, 9寧22擔(2021)
- “Physical-Principle Based Extended Attributes for Process Fault Detection", Junqing Xia and Yoshiyuki Yamashita, 壔妛岺妛夛戞52夞廐婫戝夛, 9寧23擔(2021)
- “Digitalization of Process Industries in Japan"(彽懸島墘), Online Seminar on Digital Technology in Process Industries, Y. Yamashita, Sept. 16 (2021)
- “AI偺尨懃偐傜幚慔傊"乮婎挷島墘乯, 戞73夞VEC嫤巀僙儈僫乕, 嶳壓慞擵, 9寧10擔 (2021)
- “Digital Transformation in the Chemical Industry"(Keynote), iCo-CSET 2021, Sept. 6 (2021)
- “壔妛僾儔儞僩偺僨僕僞儖壔"乮彽懸島墘乯, 壔妛岺嬈擔曬幮 僆儞儔僀儞僇儞僼傽儗儞僗乽DX偵岦偗曄妚偡傞惢憿尰応乿, 嶳壓慞擵, 8寧27擔 (2021)
- “擔-僞僀 楢実偵傛傞僗儅乕僩曐埨恖嵽堢惉偺壜擻惈"乮彽懸島墘乯, 嶳壓慞擵丆擔僞僀僗儅乕僩曐埨僐儞僜乕僔傾儉敪懌婰擮僀儀儞僩, 6寧22擔 (2021)
- “惢憿嬈偺DX偲僨乕僞妶梡"乮婎挷島墘乯, 嶳壓慞擵, 戞72夞VEC嫤巀僙儈僫乕, 6寧11擔丆儕儌乕僩 (2021)
- “惢憿嬈偺僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞 嵟怴摦岦偵偮偄偰"(彽懸島墘)丆嶳壓慞擵丆戞14夞VEC惂屼僔僗僥儉僙僉儏儕僥傿懳嶔僇儞僼傽儗儞僗丆5寧14擔, 儕儌乕僩乮2021)
- “壔妛僾儔儞僩偺僨僕僞儖僩儔儞僗僼僅乕儊乕僔儑儞偵岦偗偰"(彽懸島墘), 嶳壓慞擵, 壔妛岺妛夛戞俉俇擭夛, 3寧20擔 (2021)
- “PID僷儔儊乕僞抣偺晄揔愗愝掕偵傛傞帺椼怳摦惂屼婍偺埨掕壔", 戝洂 栁庽丆嶳壓慞擵, 壔妛岺妛夛戞俉俇擭夛, 3寧21擔 (2021)
- “忲棷搩偺惂屼偵偍偗傞嬻婥椻媝婍偺僼傽儞戜悢偺嵟揔壔", 戝媨巌 棟惏, 嶳壓慞擵, 壔妛岺妛夛戞俉俇擭夛, 3寧21擔 (2021)
- “忣曬壢妛妶梡偵傛傞壔妛僾儔儞僩偺曄妚偵岦偗偰"乮彽懸島墘乯, 嶳壓慞擵, 擔杮壔妛夛戞侾侽侾弔婫擭夛, 3寧19擔 (2021)
- “壔妛僾儘僙僗偺忬懺梊應偵偍偗傞傾僥儞僔儑儞媄弍偺揔梡", 楅栘梇丆嶳壓慞擵丆壔妛岺妛夛戞23夞妛惗敪昞夛丆3寧6擔 (2021)
- “僨乕僞嬱摦宆傾僾儘乕僠偵傛傞惂屼曎偺屌拝専弌丒恌抐", 嵅摗壞奀丆嶳壓慞擵丆壔妛岺妛夛戞23夞妛惗敪昞夛丆3寧6擔 (2021)
- “怴偨側嬊柺傪寎偊偨僾儘僙僗嶻嬈偺僨僕僞儖壔"乮彽懸島墘乯, 儊儞僥僫儞僗丒儗僕儕僄儞僗 2021, 嶳壓慞擵丆2寧26擔 (2021)
- 僷僱儖摙榑乽僾儔儞僩偺埨慡惈偲惗嶻惈傪崅傔傞偙偲偺堄媊偲幚慔乿, 嶳壓慞擵, 擔-僞僀 僗儅乕僩曐埨僼僅乕儔儉2021, 2寧5擔 (2021)
- 僷僱儖摙榑乽僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞傪巟偊傞婎斦媄弍乿, 嶳壓慞擵, 戞51夞寁憰惂屼媄弍夛媍, 2寧4擔丆儕儌乕僩 (2021)
- “DX傪巟偊傞婎斦媄弍偲嵟怴摦岦"乮彽懸島墘乯, 嶳壓慞擵丆戞51夞寁憰惂屼媄弍夛媍,2寧4擔丆儕儌乕僩 (2021)
- “AI丒IoT傪梡偄偨壔妛僾儔儞僩偺僗儅乕僩壔"乮彽懸島墘乯, 壔妛岺妛夛娭惣巟晹 戞33夞CES俀侾島墘夛乽僨乕僞僒僀僄儞僗傪妶梡偟偨壔妛僾儘僙僗偺僗儅乕僩壔乿, 嶳壓慞擵丆1寧29擔丆儕儌乕僩 (2021)
- “僼儘乕崌惉偲AI丗壔妛偲忣曬偺梈崌"(彽懸島墘)丆壔妛岺妛夛娭搶巟晹 戞52夞 Continuing Education 僔儕乕僘島廗夛, 嶳壓慞擵丆12寧17擔丆儕儌乕僩 (2020)
- “嶻嬈僆乕僩儊乕僔儑儞偵偍偗傞AI妶梡偵偮偄偰"乮婎挷島墘乯, 戞70夞VEC嫤巀僙儈僫乕, 嶳壓慞擵, 12寧4擔丆儕儌乕僩 (2020)
- “Continuous Wavelet Transform with Neural Network for the Monitoring Chemical Process," Chinatsu Ukawa, Y. Yamashita, PSE Asia 2020, Taipei(Remote) (2020)
- “Design of a PID controller with valve stiction," Masaharu. Daiguji, Y. Yamashita, PSE Asia 2020, 210085, Taipei(Remote) (2020)
- “惢憿嬈偺僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞"(彽懸島墘)丆戞13夞VEC惂屼僔僗僥儉僙僉儏儕僥傿懳嶔僇儞僼傽儗儞僗丆嶳壓慞擵丆11寧9擔, 儕儌乕僩乮2020)
- “Towards Digital Transformation for Chemical Industry,"(Invited Keynote), 2020 TwIChE, Taipei+Remote, Oct. 23 (2020)
- “Process-Identification and Design of Robust PI Controller for a Self-Oscillating Integral Process with Dead Time," Hironobu Takeda, Yoshiyuki Yamashita, 壔妛岺妛夛戞51夞廐婫戝夛丆儕儌乕僩丆T213 (2020)
- “IMC棟榑偵婎偯偔壔妛僾儔儞僩塼柺惂屼偵揔偟偨PID惂屼愝寁", 戝洀栁庽丆嶳壓慞擵丆壔妛岺妛夛戞51夞廐婫戝夛丆儕儌乕僩丆T215 (2020)
- “AI偺嵟怴僩儗儞僪偲嶻嬈墳梡"乮婎挷島墘乯, 戞69夞VEC嫤巀僙儈僫乕, 嶳壓慞擵, 9寧18擔丆儕儌乕僩 (2020)
- “壔妛僾儔儞僩偺僨僕僞儖夵妚偵岦偗偰", 僾儔儞僩僔儑乕OSAKA 摿暿尋媶夛, 7寧30擔, 戝嶃亄儕儌乕僩 (2020)
- “COVID-19偱嵞峫偡傞僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞"乮婎挷島墘乯丆 戞68夞VEC嫤巀僙儈僫乕, 嶳壓慞擵, 6寧5擔丆儕儌乕僩 (2020)
- “壔妛僾儘僙僗偺堎忢恌抐偵懳偡傞傾僋僥傿僽傾僾儘乕僠", 愇尨 彨懢榊 嶳壓 慞擵, 戞22夞壔妛岺妛夛妛惗敪昞夛乮搶嫗戝夛乯丆拞墰戝妛屻妝墍僉儍儞僷僗 (2020)
- “傓偩帪娫傪娷傓僾儘僙僗偺惂屼偵懳偡傞婡夿妛廗偺揔梡", 戝嫶 桰恖, 嶳壓 慞擵, 戞22夞壔妛岺妛夛妛惗敪昞夛乮搶嫗戝夛乯丆拞墰戝妛屻妝墍僉儍儞僷僗 (2020)
- “壔妛僾儘僙僗偺堎忢専弌丒恌抐偵懳偡傞儕僇儗儞僩僯儏乕儔儖僱僢僩儚乕僋偺墳梡", 揷挿娵 姴媣, 嶳壓慞擵, 戞22夞壔妛岺妛夛妛惗敪昞夛乮搶嫗戝夛乯丆拞墰戝妛屻妝墍僉儍儞僷僗 (2020)
- “僶僢僠僾儘僙僗儌僯僞儕儞僌偵偍偗傞帪娫幉偺儅僢僠儞僌", 徏懞 懽惉, 嶳壓 慞擵, 戞22夞壔妛岺妛夛妛惗敪昞夛乮搶嫗戝夛乯丆拞墰戝妛屻妝墍僉儍儞僷僗 (2020)
- “擔杮偺僾儔儞僩曐埨偵偍偗傞IoT妶梡偺尰忬偲崱屻偺揥朷"乮婎挷島墘乯, 宱嵪嶻嬈徣 擔杮亅僞僀 僗儅乕僩曐埨僔儞億僕僂儉 2020, 怴嫶丆2寧19擔 (2020)
- “PA暘栰偵偍偗傞嵟嬤偺IoT/CPS妶梡"乮彽懸島墘乯丆 戞22夞VEC IoT/CPS尋媶暘壢夛, 嶳壓慞擵, 1寧31擔丆揷挰 (2020)
- “壔妛僾儔儞僩偵偍偗傞AI丒IoT妶梡"乮彽懸島墘乯丆 壔妛岺妛夛娭搶巟晹 戞51夞Continuous Education僔儕乕僘島廗夛, 嶳壓慞擵, 1寧19擔丆憗堫揷戝妛 惣憗堫揷僉儍儞僷僗 (2020)
- “AI/IoT 偺偝傜側傞恑壔偲壔妛嶻嬈"乮彽懸島墘乯, ISPE搤婫戝夛, 嶳壓慞擵丆12寧6擔丆戝嶃 (2019)
- “壔妛僾儔儞僩偺僨僕僞儖曄妚偵岦偗偰"(彽懸島墘), INCHEM Tokyo 2019 摿暿島墘夛丆11寧20擔丆枊挘儊僢僙 (2019)
- “懡曄悢惂屼宯愝寁偵偍偗傞掕忢儌僨儖偺妶梡庤朄偲忲棷搩娨棳検惂屼傊偺揔梡", 戞62夞帺摦惂屼楢崌島墘夛丆揷岥抭彨丆嶳壓慞擵丆11寧9擔丆嶥杫 (2019)
- “僴僀僽儕僢僪儌僨儖偵傛傞壔妛僾儘僙僗偺堎忢恌抐", 戞62夞帺摦惂屼楢崌島墘夛丆拞栰丂尯丆嶳壓慞擵丆11寧9擔丆嶥杫 (2019)
- “惢桘強偺僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞偵岦偗偰"乮彽懸島墘乯丆嶳壓慞擵丆戞49夞愇桘丒愇桘壔妛摙榑夛丆11寧1擔丆嶳宍 (2019)
- “壔妛僾儔儞僩偺僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞"乮彽懸島墘乯, 戞50夞寁憰惂屼媄弍夛媍丆嶳壓慞擵丆10寧31擔丆昳愳 (2019)
- “塣揮丒曐埨偺崅搙壔偵岦偗偨AI丒IoT"乮彽懸島墘乯丆戞53夞擔杮朏崄懓岺嬈夛戝夛丆嶳壓慞擵丆10寧10擔丆壓娭 (2019)
- “Fault Detection and Diagnosis Enhanced by Process Knowledge," Junqing XIA, Yoshiyuki YAMASHITA, APCChE 2019, Sapporo, 9寧24擔(2019)
- “Time series estimation of product quality based on neural network algorithms," Masayuki HONDA, Chinatsu UKAWA, Yoshiyuki YAMASHITA, APCChE 2019, Sapporo, 9寧24擔(2019)
- “AI偱曄傢傞壔妛僾儔儞僩"(婎挷島墘), 暘棧媄弍夛戞47夞壞婫尋媶摙榑夛, 嶳壓慞擵, 8寧23擔(2019)
- “惢憿嬈偺僨僕僞儖丒僩儔儞僗僼僅乕儊乕僔儑儞偵岦偗偰"(摿暿島墘),丂嶳壓慞擵, 戞66夞VEC嫤巀僙儈僫乕, 6寧11擔(2019)
- 庯巪愢柧偍傛傃僷僱儖摙榑, 嶳壓慞擵, 暘巕尋尋媶夛乽壔妛丒忣曬壢妛偺梈崌偵傛傞怴壔妛憂惉偵岦偗偰乿, 5寧30擔(2019)
- “妛弍偐傜惗嶻僾儘僙僗傑偱"(彽懸島墘), 嶳壓慞擵, 暘巕壢妛尋媶強強挿彽阗夛媍 乽壔妛偺嬤枹棃丗壔妛偲忣曬壢妛偲偺梈崌乿, 5寧29擔(2019)
- “惢桘強埨掕嵟揔壔偺偨傔偺DX傪幚尰偡傞梫慺媄弍偲偦偺妶梡偵娭偡傞挷嵏曬崘", 嶳壓慞擵丆榓揷揘栫丆JPEC惢桘強埨掕嵟揔壔曌嫮夛丆3寧28擔(2019)
- “僨僕僞儖曄妚偲嬤枹棃偺壔妛岺応"乮彽懸島墘乯, 壔妛岺妛夛戞84擭夛丆嶳壓慞擵丆3寧5擔(2019)
- “惗嶻僾儘僙僗偺儌僯僞儕儞僌偲惂屼乕PAT傪拞怱偵"乮婎挷島墘乯, 嶳壓慞擵丆擔杮暡懱岺嬈媄弍嫤夛丂憿棻暘壢夛丂媄弍摙榑夛丆3寧8擔(2019)
- “婡夿妛廗傪梡偄偨僾儘僙僗曄悢偺悇掕", 塅愳愮壞丆嶳壓慞擵丆戞21夞壔妛岺妛夛妛惗敪昞夛丆3寧2擔(2019)
- “師悽戙岺応偺嵼傝曽"(婎挷島墘), VEC嫤巀僙儈僫乕丆嶳壓慞擵丆2寧20擔(2019)
- “Physical Principle Based Extension of Attributes for Process Monitoring", Xia Junqing & Yoshiyuki Yamashita, PSE Asia 2019, Bangkok, January 15th (2019)
- “A Hybrid Monitoring Method for a Heat Exchanger Fouling", Yoshiyuki Yamashita, PSE Asia 2019, Bangkok, January 14th (2019)
- “僨僕僞儖曄妚偲壔妛岺応偺塣揮丒惂屼"(彽懸島墘),壔妛岺妛夛丆擔杮偺壔妛嶻嬈偺枹棃偺岺応偵偮偄偰岅傞夛丆嶳壓慞擵丆12寧13擔(2018)
- “嵟怴媄弍摦岦偲寁憰惂屼偲AI偺偙傟偐傜"(婎挷島墘),戞64夞VEC嫤巀僙儈僫乕丆嶳壓慞擵丆12寧3擔(2018)
- “僾儔儞僩僨乕僞夝愅偲暔棟儌僨儖"乮彽懸島墘乯, AVEVA World Conference Tokyo, 嶳壓慞擵, 11寧6擔(2018)
- “Physical-Knowledge Based Extension of Attributes for Process Monitoring", Xia Junqing & Y. Yamashita, 壔妛岺妛夛戞50夞廐婫戝夛, 幁帣搰, 9寧19擔 (2018)
- “僨僕僞儖曄妚偲壔妛岺応偺嬤枹棃"(彽懸島墘), 嶳壓慞擵, 壔妛岺妛夛戞50夞廐婫戝夛 價僕儑儞僔儞億僕僂儉, 幁帣搰, 9寧18擔 (2018)
- “Physical-Principle Based Extension of Attributes for Plant Fault Detection", Xia Junqing & Y. Yamashita, SICE2018, Nara, 12 Sept (2018)
- “僨僕僞儖妚柦偲僾儔儞僩僆儁儗乕僔儑儞"(彽懸島墘), 戞36夞僾儔儞僩僆儁儗乕僔儑儞偵娭偡傞尰応娔撀幰僙儈僫乕, 嶳壓慞擵, 暫屔, 9寧10擔 (2018)
- “壔妛嶻嬈偲AI丒IoT"(彽懸島墘), 僗儅乕僩僄儞僕僯傾儕儞僌TOKYO, 嶳壓慞擵, 搶嫗價僢僌僒僀僩, 7寧18擔 (2018)
- “AI傪梡偄偨壔妛僾儔儞僩偺僗儅乕僩壔"(彽懸島墘), JPEC惢桘強埨掕嵟揔壔曌嫮夛, 嶳壓慞擵, 搶嫗, 7寧17擔 (2018)
- “A hybrid approach for process optimization of distillation reflux condition", T. Taguchi, PSE 2018, San Diego, 17 July (2018)
- “壔妛僾儔儞僩偺塣揮惂屼偲僔儈儏儗乕僔儑儞"(彽懸島墘), 擔杮岺妛夛岞奐僔儞億僕僂儉, 嶳壓慞擵, 搶嫗, 6寧1擔 (2018)
- “AI媄弍慡斒擖栧偲壔妛嶻嬈傊偺墳梡"(彽懸島墘),暘巕壢妛尋媶強強挿彽阗夛媍, 嶳壓慞擵, 壀嶈, 5寧30擔 (2018)
- “AI傪梡偄偨壔妛僾儔儞僩偺僗儅乕僩壔"(摿暿島墘), 愇桘妛夛戞61夞擭夛, 搶嫗, 嶳壓慞擵, 5寧22擔 (2018)
- “Systems Technology for Smart Processinmg Plants,"(Invited Talk), Y. Yamashita, SCEJ 83rd annual meeting, Osaka, 15 March (2018)
- “IoT傪妶梡偟偨惢憿尰応偺僗儅乕僩壔"乮彽懸島墘乯, 嶉嬍導崅埑僈僗曐埨島廗夛, 塝榓, 3寧9擔 (2018)
- “僌儗僀儃僢僋僗傾僾儘乕僠偵傛傞壔妛僾儘僙僗偺堎忢専弌", 拞栰尯丆嶳壓慞擵丆戞20夞壔妛岺妛夛妛惗敪昞夛, 搶嫗, 3寧2擔 (2018)
- “僾儔儞僩偺僗儅乕僩壔偲IoT"(彽懸島墘), 嶳壓慞擵,壔妛岺妛夛娭搶巟晹僋儘乕僘傾僢僾僔儕乕僘丆搶嫗丆2寧6擔 (2018)
- “惢憿僾儘僙僗偺僗儅乕僩壔"乮彽懸島墘乯,嶳壓慞擵,ISPE擔杮巟晹搤婫戝夛, 戝嶃, 12寧1擔 (2017)
- “壔妛岺応偺彨棃揥朷"(婎挷島墘), INCHEM Tokyo, 價僢僌僒僀僩, 11寧22擔 (2017)
- “Chemical Engineering in the Era of Smart Processing Plant,"(Invited Plenary), Y. Yamashita, The 8th China-Japan Symposium on Chemical Engineering, Beijing, 14-15 Oct. (2017)
- “IoT偲僗儅乕僩丒儅僯儏僼傽僋僠儍儕儞僌"(彽懸島墘), 嶳壓慞擵,壔妛岺妛夛廐婫戝夛, 柤屆壆, 9寧21擔 (2017)
- “壔妛僾儔儞僩偺僗儅乕僩壔", 嶳壓慞擵, 壔妛岺妛夛廐婫戝夛 摿暿僔儞億僕僂儉, 柤屆壆, 9寧20擔 (2017)
- “Fouling Monitoring of a Thermosiphon Reboiler," Y. Yamashita, S. Iwahashi, T. Kuwahara, K. Kawabata and Y. Yamane,Heat Excahnger and Cleanig - 2017, Madrid, Spain, 11-16 June (2017)
- “Model-based Monitoring of Fouling in a Heat Exchanger,"(Invited Talk), Yoshiyuki Yamashita, Taipei, 28-30 May (2017)
- “惢憿嬈偵偍偗傞IoT偺棙妶梡"乮彽懸島墘乯, 嶳壓慞擵丆2016擭搙 ISPE擔杮巟晹 搤婫戝夛, 戝嶃, 12寧2擔 (2016)
- “Real-time monitoring of accharide concentrations in simulated moving-bed chromatography," Koji Inagaki, Yoshitomo Amo and Yoshiyuki Yamashita, The 5th Asian NIR Symposium (ANS2016), Kagoshima, November 30- December 3 (2016)
- “Which Approach is better for Process Monitoring: Data-based or Model-based?"丂(Invited Plenary Talk)丆 Yoshiyuki Yamashita, The 9th Regional Conference on Chemical Engineering (RCChE 2016), Kuala Lumpur, November 21-22 (2016)
- “僾儘僙僗帪宯楍偺僨乕僞夝愅"(彽懸島墘), 嶳壓慞擵, 暯惉28擭搙戞1夞僟僀僫儈僢僋僾儘僙僗墳梡暘壢夛尋媶摙榑夛丆昹徏丆11寧18擔 (2016)
- “FT-NIRS傪梡偄偨棳摦憌姡憞僾儘僙僗偵偍偗傞姡憞廔揰偺帺摦敾掕",堫奯岶擇丆嶳壓慞擵, 戞59夞帺摦惂屼楢崌島墘夛丆杒嬨廈, 11寧10擔乣12擔 (2016)
- “Parameter effect in hot compressed water extraction of crude palm oil," Mohd Sharizan Md Sarip, Tomoya Tsuji, Noor Morad, Yoshiyuki Yamashita, Mustafa Kamal Abdul Aziz and Mohd Azizi Che Yunus, Malaysia-Japan Joint International Conference (MJJIC 2016), September 3 (2016)
- "IoT偲壔妛嶻嬈乭乮揥朷島墘乯丆嶳壓慞擵丆壔妛岺妛夛戞48夞廐婫戝夛丆摽搰丆9寧6擔乮2016乯
- "棳摦憌姡憞僾儘僙僗偵偍偗傞悈暘検偺儕傾儖僞僀儉儌僯僞儕儞僌"丆堫奯岶擇丆嶳壓慞擵丆壔妛岺妛夛戞48夞廐婫戝夛丆摽搰丆9寧7擔乮2016乯
- "媅帡堏摦憌幃僋儘儅僩僌儔僼傿乕暘棧僾儘僙僗偵偍偗傞摐惉暘偺儕傾儖僞僀儉儌僯僞儕儞僌乭丆堫奯岶擇丆嶳壓慞擵丆壔妛岺妛夛戞48夞廐婫戝夛丆摽搰丆9寧7擔乮2016乯
- "Semi-Supervised Learning for the Monitoring of Process Systems," Yoshiyuki Yamashita and Takashi Tohma, The 7th International Symposium on Design, Operation and Control of Chemical Processes (PSE ASIA 2016), D323 (2016)
- "僾儘僙僗儌僯僞儕儞僌偺偨傔偺敿嫵巘晅夞婣儌僨儖", 搶娫弐, 嶳壓慞擵, 戞58夞帺摦惂屼楢崌島墘夛, 恄屗, 11寧14擔 (2015)
- "忣曬僀儞僼儔傪妶梡偡傞偙傟偐傜偺壔妛僾儔儞僩"乮彽懸島墘乯,丂嶳壓慞擵, 壔妛岺妛夛戞47夞廐婫戝夛, 嶥杫, 9寧9擔 (2015)丂
- "Improving Data Reliability for Process Monitoring with Fuzzy Outlier Detection," Harakhun Tanatavikorn, Yoshiyuki Yamashita, PSE2015/ESCAPE25, Copenhagen, Denmark, May 31-June 4 (2015)
- "Design and modeling of hot compressed water extraction process for palm oil," Mohd Sharizan Md Sharip, Noor Azian Morad, Yoshiyuki Yamashita, 10th Asian Control Conference (ASCC 2015), Kota Kinabalu, Malaysia, June (2015)
- "Hot compressed water (HCW): a green alternative in palm oil processing," Noor Azian Morad, Yoshiyuki Yamashita, SCEJ 80th Annual Meeting, Tokyo, 21st March (2015)
- "PF-GMM:妋棪暘晍偵婎偯偔堎忢専弌偺帋傒",堜庤悙婸丆嶳壓慞擵丆壔妛岺妛夛戞80擭夛丆搶嫗丆3寧20擔 (2015)
- "懡廳儌僨儖傾僾儘乕僠偵傛傞惢昳昳幙偺悇掕庤朄",Zia Fauzan Ahmad, 嶳壓慞擵, 戞57夞帺摦惂屼楢崌島墘夛丆埳崄曐丆11寧11擔 (2014)
- "僾儘僙僗儌僯僞儕儞僌偺偨傔偺夞婣儌僨儖偺妶梡",嶳壓慞擵丆搶娫弜, 壔妛岺妛夛戞46夞廐婫戝夛, 暉壀, 9寧18擔 (2014)
- "Hot compressed water extraction of palm oil mesocarp," Noor Azian Morad, Mohd Sharizan Md Sarip, Mustapha Kamal Abd Aziz, Yoshiyuki Yamashita, Muhamad Nur Iman Ghazali, 1st Asian Conference on Oleo Science (ACOS2014), Sapporo, September 8-10 (2014)
- "Co-learning with locally weighted PLS for soft sensors of nonlinear processes," Yoshiyuki Yamashita and Kaoru Sasagawa, 5th International Symposium on Advanced Control of Industrial Processes (ADCONIP2014), Hiroshima, May 28-30 (2014)
- "Enhancing Data-driven Fault Detection Through Extended Attribute Variables,乭 Yoshiyuki Yamashita, International Automatic Control Conference (CACS 2013), Sun Moon Lake, Taiwan, December 2-4 (2013)
- "Practical Application of Model Identification based on ARX Models with Transfer Functions,"Junichiro Kon, Yoshiyuki Yamashita, Taro Tanaka, Atsushi Tashiro and Masaharu Daiguji, PSE Asia 2013, Kuala Lumpur, 25-27 June (2013)
- "暋悢偺僜僼僩僙儞僒乕偵傛傞CSTR弌岥慻惉偺悇掕朄", Zia Fauzan Ahmad, 嶳壓慞擵, 壔妛岺妛夛妛惗敪昞夛, 暷戲, 3寧1擔 (2013)
- "僨乕僞嬱摦宆堎忢恌抐偵偍偗傞僾儘僙僗抦幆偺妶梡庤朄",嶳壓慞擵丆崅尒弐夘, 戞55夞帺摦惂屼楢崌島墘夛丆嫗搒丆11寧17乚18擔 (2012)
- "忬懺悇掕僼傿儖僞傪梡偄偨僙儞僒乕僶僀傾僗偺悇掕",鍌尨梇懢丆嶳壓慞擵丆壔妛岺妛夛戞44夞廐婫戝夛丆愬戜丆9寧20擔 (2012)
- "Knowledge-based attributes generation for data-driven fault diagnosis in process systems," Yoshiyuki Yamashita, PSE 2012, Singapore, July 19 (2012)
- “恖娫偲僐儞僺儏乕僞偺嫤挷偵傛傞僆儁儗乕僔儑儞偺崅搙壔"(彽懸島墘)丆嶳壓丆壔妛岺妛夛 僾儔儞僩僆儁儗乕僔儑儞暘壢夛戞124夞尋媶夛丆戝嶃丆4寧25擔 (2012)
- “僙儞僒乕堎忢偺専弌丒摨掕偺偨傔偺忬懺悇掕僼傿儖僞偺妶梡," 鍌尨丆嶳壓丆壔妛岺妛夛戞77擭夛丆搶嫗丆3寧21乣23擔 (2012)
- “搶傾僕傾偵偍偗傞儊僞儞偺攔弌検暘晍偺悇掕," 淎悾桾栫丆曯搰抦朏丆嶳壓慞擵丆墦搱峃摽丆Maksyutov S., 壔妛岺妛夛妛惗敪昞夛丆搶嫗, 3寧侾擔 (2012)
- "Model Identification based on ARX Modls with Transfer Functions," Junichiro Kon and Yoshiyuki Yamashita, 14th Asia Pacific Confederation of Chemical Engineering Congress, Singapore, February 22 (2012)
- “揱払娭悢傪梡偄偨ARX儌僨儖偵傛傞儌僨儖摨掕朄偺幚僾儘僙僗傊偺揔梡"丄崺丄戝媨巌丄嶳壓丄戞54夞帺摦惂屼楢崌島墘夛丄朙嫶丄11寧19-20擔 (2011)
- “僾儘僙僗僔僗僥儉偺儌僯僞儕儞僌偲惂屼"丄嶳壓丄戞54夞帺摦惂屼楢崌島墘夛丄朙嫶丄11寧19-20擔 (2011)
- "僾儘僙僗僔僗僥儉偺儌僯僞儕儞僌偲惂屼"(彽懸島墘),嶳壓丆戞54夞帺摦惂屼楢崌島墘夛丄朙嫶丄11寧19-20擔 (2011)
- “旕慄宍摦揑儌僨儖偵婎偯偔堎忢偺専弌丒摨掕庤朄", 鍌尨丄崅尒丄嶳壓丄壔妛岺妛夛戞43夞廐婫戝夛丄柤屆壆丄9寧16-18擔 (2011)
- “Dynamic Analysis and Monitoring of Process Control Loops," (Invited), Yoshiyuki Yamashita, 2nd International Workshop on Real-Time Measurement, Instrumentation and Control (RTMIC 2011), Oshawa, Canada, 2-3 June (2011)
- “Qualitative Trend Analysis for the Monitoring of Process Plant"(Plenary), Yoshiyuki Yamashita, International Conference of Modeling, Simulation and Optimization (ICMSAO 2011), Kuala Lumpur, April 20 (2011)
- “Model Predictive Control based on ARX Models", Junichiro Kon, Yoshiyuki Yamashita, International Conference on Control, Automation and Systems 2010, Gyeonggi-do, Korea, Oct. 27-30 (2010)
- “僨傿儁儞僟僽儖側惂屼宯偺幚尰傪栚巜偟偰"(彽懸島墘)丆嶳壓丆寁應帺摦惂屼妛夛嶻嬈僔僗僥儉僔儞億僕僂儉丆搶嫗丆11寧9擔 (2010)
- “Optimal Tuning Parameters of PID Control based on Reference Trajectory", Junichiro Kon, Yoshiyuki Yamashita, 13th Asia Pacific Confederation of Chemical Engineering Congress (APCChE 2010), Taipei, Oct. 5-8 (2010)
- “懡廳儌僨儖傾僾儘乕僠傪梡偄偨梊應儌僨儖偺傾僢僾僨乕僩庤朄", 嫶杮姲婌, 崺弫堦榊, 嶳壓慞擵, 壔妛岺妛夛戞42夞廐婫戝夛, 嫗搒, 9寧6-8擔 (2010)
- “儀儞僠儅乕僋偲偟偰偺戝婯柾壔妛僾儔儞僩僟僀僫儈僢僋僔儈儏儗乕僞偺奐敪", 戝洀, 搾杮, 娭, 嫶杮, 懞揷, 壛擺, 嶳壓, 壔妛岺妛夛戞42夞廐婫戝夛, 嫗搒, 9寧6-8擔 (2010)
- “Design of a Dependable Process Control System", Tan KheeSean, Yoshiyuki Yamashita, The 5th International Symposium on Design, Operation and Control of Chemical Processes (PSE Asia 2010), Singapore, July 26 (2010)
- “Rigorous Dynamic Simulator for Control Study of the Large-scale Benchmark Chemical Plant", T. Yumoto, S. Ootakara, H. Seki, Y. Hashimoto, H. Murata, M. Kano and Y. Yamashita, 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), Leuven, Belgium, July 5 (2010)
- “ARX儌僨儖傪巊梡偟偨儌僨儖梊應惂屼", 崺弫堦榊, 嶳壓慞擵, 寁應帺摦惂屼妛夛 戞10夞惂屼晹栧戝夛, 孎杮, 3寧17擔 (2010)
- “Data based approaches for Process Monitoring", Yoshiyuki Yamashita, 9th International Conference for Green Energy and Clean Processes, Daegu, Korea, November 13 (2009)
- “Fault Detection in Chemical Process using Discriminant Analysis and Control Chart", Xudong Pei, Yoshiyuki Yamashita, Masatoshi Yoshida, Shigeru Matsumoto, 壔妛岺妛夛戞41夞廐婫戝夛, 峀搰丆9寧16亅18擔 (2009)
- 乽師尦夝愅傪暪梡偟偨僾儘僙僗僔僗僥儉偺僨乕僞偵婎偯偔堎忢専弌丒恌抐乿, 揷拞岹岾丆嶳壓慞擵, 壔妛岺妛夛戞41夞廐婫戝夛, 峀搰丆9寧16亅18擔 (2009)
- 乽僾儘僙僗惂屼儖乕僾偵偍偗傞僶儖僽恌抐乿, 戞51夞帺摦惂屼楢崌島墘夛, 暷戲, 11寧22擔 (2008)
- “Diagnosis and Quantification of Control Valves", Yoshiyuki Yamashita, SICE Annual Conference 2008, Chofu, Japan, 21 August (2008)
- “Toward dependable process control systems --- Integration of fault diagnosis and controller redesign"(keynote), Yoshiyuki Yamashita, PSE Asia 2007, Xi'an, China, 17 August (2007)
- “Fault detection and identification of proxcess systems using discriminant analysis and control charts", Xudong Pei, Yoshiyuki Yamashita, Masatoshi Yoshida and Shigeru Matsumoto, PSE Asia 2007, Xi'an, China, 17 August (2007)
- “Coordination of Multiple Model Predictive Controllers for CSTR", Yoshiyasu Sakakura, Masaru Noda, Hirokazu Nishitani and Yoshiyuki Yamashita, PSE Asia 2007, Xi'an, China, 16-17 August (2007)
- 乽暋悢偺嬊強儌僨儖傪梡偄偨惂屼宯偺僐乕僨傿僱乕僔儑儞朄乿, 嶁憅媊峃, 栰揷尗, 惣扟峢堦, 嶳壓慞擵, 媑揷夒弐, 徏杮斏, 寁應帺摦惂屼妛夛娭惣巟晹, 庒庤尋媶敪昞夛2007 島墘榑暥廤, pp.73-76, 戝嶃戝妛拞擵搰僙儞僞乕, 1寧17擔 (2007)
- "Engineering Design Aspects of Hybrid Energy Supply Unit (HENSU)", Hossam A.Gabbar, Hanna E.Sayad, Yoshiyuki Yamashita, William Gruver and Mohamed Kamel, IEEE SMC, 2nd International Workshop on Computational Intelligence and Applications, Okayama, Japan, 15 December (2006)
- 乽奒憌揑僌儔僼儅僢僠儞僌傪梡偄偨僶僢僠僾儔儞僩偺塣揮憖嶌庤弴帺摦惗惉庤朄乿, 愮梩暽, 嶳壓慞擵, 媑揷夒弐, 徏杮斏, 惎寷巌, SICE 僔僗僥儉丒忣曬晹栧妛弍島墘夛, 搶嫗, 11寧28-30擔 (2006)
- 乽暋悢偺嬊強儌僨儖傪梡偄偨惂屼宯偺僐乕僨傿僱乕僔儑儞朄乿, 嶁憅媊峃丄栰揷尗丄惣扟峢堦丄嶳壓慞擵丄媑揷夒弐丄徏杮斏, 戞49夞帺摦惂屼楢崌島墘夛丄恄屗丄11寧25,26擔 (2006)
- "Diagnosis of oscillatory process control loops", Yoshiyuki Yamashita, SICE-ICCAS 2006, Busan, Korea, 18-21 October (2006)
- "On-line extraction of qualitative movements for monitoring process plants", Yoshiyuki Yamashita, KES-2006, Bournemouth, UK, 9-11 October (2006)
- 乽僾儔儞僩僔儈儏儗乕僞傪妶梡偟偨惂屼曎屌拝帪偺惂屼墳摎偲屌拝専弌庤朄偺専徹乿, 嶳壓慞擵, 搾杮棽夒, 徏旜揙, 壔妛岺妛夛戞38夞廐婫戝夛, 暉壀, 9寧16-18擔 (2006)
- 乽嶰師尦晄嬒堦憡僔儈儏儗乕僔儑儞偵傛傞廩揢憌斀墳婍撪偺忬懺検偺夝愅乿, 娾捗徃暯, 媑揷夒弐, 嶳壓慞擵, 徏杮斏, 壔妛岺妛夛幒棖戝夛, 幒棖岺戝, 8寧24,25擔 (2006)
- "Diagnosis of oscillations in process control loops", Yoshiyuki Yamashita, PSE/ESCAPE, Germany, July 9-16 (2006)
- "Discriminant analysis and control chart for the fault detection and identification", Xudong Pei, Yoshiyuki Yamashita, Masatoshi Yoshida and Shigeru Matsumoto, PSE/ESCAPE, Germany, July 9-16 (2006)
- "Application of hybrid control approach to highly nonlinear chemical processes", Y.Sakakura, M.Noda, H.Nishitani, Y.Yamashita, M.Yoshida and S.Matsumoto, PSE/ESCAPE, Germany, July 9-16 (2006)
- 棻巕憌擬揱摫僾儘僙僗偵偍偗傞壏搙暘晍偲敪擬検暘晍偺悇掕, 媑揷夒弐丆戝壀寬懢丆嶳壓慞擵丆徏杮斏, 戞6夞寁應帺摦惂屼妛夛惂屼晹栧戝夛丆柤屆壆丆5寧31擔-6寧1擔 (2006)
- "Projected Trend Monitoring based on Fisher Discriminant Analysis", Pei Xudong, Yoshiyuki Yamashita, Masatoshi Yoshida, Shigeru Matsumoto, 壔妛岺妛夛戞71擭夛, F204, 搶岺戝, 3寧29擔 (2006)
- 乽晹暘僌儔僼摨宆扵嶕偵婎偯偔憖嶌庤弴偺惗惉偲僗働僕儏乕儕儞僌偺堦尦壔乿, 愮梩桽擇丆嶳壓慞擵丆媑揷夒弐丆徏杮斏, 壔妛岺妛夛戞71擭夛, F205, 搶岺戝, 3寧29擔 (2006)
- 乽僴僀僽儕僢僪僟僀僫儈僇儖僔僗僥儉偵傛傞壔妛僾儘僙僗偺儌僨儖梊應惂屼乿
嶁憅媊峃, 栰揷尗, 惣扟峢堦,嶳壓慞擵, 媑揷夒弐, 徏杮斏
戞48夞帺摦惂屼楢崌島墘夛, 挿栰, 11寧25,26擔 (2005) - 乽暋悢偺椻媝憰抲傪桳偡傞斀墳婍傪懳徾偲偟偨懡廳儌僨儖傾僾儘乕僠乿
嶁憅媊峃, 栰揷尗, 惣扟峢堦,嶳壓慞擵, 徏杮斏
壔妛岺妛夛戞37夞廐婫戝夛, R304, 壀嶳, 9寧17擔 (2005) - 乽僶僢僠僾儘僙僗偺憖嶌庤弴惗惉偺偨傔偺桝憲宱楬偺暘椶乿
愮梩暽,嶳壓慞擵,媑揷夒弐,徏杮斏,惎寷巌
壔妛岺妛夛戞37夞廐婫戝夛, R306, 壀嶳, 9寧17擔 (2005) - "A Discriminant Analysis Technique for Fault Identification of Process Systems"
Pei Xudong, Yoshiyuki Yamashita, Masatoshi Yoshida and Shigeru Matsumoto
PSE Asia 2005, P068, Seoul, Aug 17-19 (2005) - "Combination of Multiple Models for Process Control"
Yoshiyasu Sakakura, Yoshiyuki Yamashita, Masatoshi Yoshida and Shigeru Matsumoto
PSE Asia 2005, P084, Seoul, Aug 17-19 (2005) - 乽僾儘僙僗惂屼儖乕僾偵偍偗傞僶儖僽僗僥傿僋僔儑儞偺堦専弌庤朄乿
嶰塝弐晇, 嶳壓慞擵, 媑揷夒弐, 徏杮斏
SICE戞5夞惂屼晹栧戝夛, pp.173-176, 愬戜, 5寧25擔 (2005) - 乽棻巕憌擬揱摫僾儘僙僗偵偍偗傞擬暔惈僷儔儊乕僞偺僆儞儔僀儞摨掕乿
浟岝婸, 媑揷夒弐, 嶳壓慞擵, 徏杮斏
SICE戞5夞惂屼晹栧戝夛, pp.169-172, 愬戜, 5寧25擔 (2005) - 乽懡廳儌僨儖傪梡偄偨揔墳宆惂屼乿
嶁憅媊峃, 嶳壓慞擵, 徏杮斏
壔妛岺妛夛戞70擭夛, N215, 柤屆壆, 3寧23擔 (2005) - 乽壜曄僌儕僢僪朄傪梡偄偨怗攠廩揢憌斀墳婍偵偍偗傞儂僢僩僗億僢僩偺悇掕乿
朷寧岹婓, 媑揷夒弐, 嶳壓慞擵, 徏杮斏
壔妛岺妛夛戞70擭夛, N113, 柤屆壆, 3寧22擔 (2005) - 乽屌掕憌斀墳婍傪梡偄偨婥屌怗攠斀墳婍偺懍搙掕悢僷儔儊乕僞偺僆儞儔僀儞悇掕乿
恄屗払嵠, 媑揷夒弐, 嶳壓慞擵, 徏杮斏
壔妛岺妛夛戞70擭夛, N114, 柤屆壆, 3寧22擔 (2005) - 乽懡廳儌僨儖傪梡偄偨CSTR偺娔帇丒惂屼乿
嶁憅媊峃, 嶳壓慞擵, 徏杮斏
寁應帺摦惂屼妛夛搶杒巟晹40廃擭婰擮妛弍島墘夛, 孲嶳, 12寧22-23擔 (2004) - 乽壜曄僌儕僢僪傪梡偄偨媫寖側曄壔傪敽偆暘晍掕悢宯偺忬懺悇掕偵娭偡傞尋媶乿
朷寧岹婓, 媑揷夒弐, 嶳壓慞擵, 徏杮斏
寁應帺摦惂屼妛夛搶杒巟晹40廃擭婰擮妛弍島墘夛, 孲嶳, 12寧22-23擔 (2004) - "A Simple Modification of Fisher Discriminant Analysis for Fault Diagnosis"
Pei Xudong, Yoshiyuki Yamashita, Yoshiyasu Sakakura and Shigeru Matsumoto
寁應帺摦惂屼妛夛搶杒巟晹40廃擭婰擮妛弍島墘夛, 孲嶳, 22-23 December (2004) - "Qualitative Analysis for Detection of Stiction in Control Valves"
Yoshiyuki Yamashita, KES'2004, Wellington, New Zealand, 22-24 September (2004) - "Graph based method for the synthesis of operating procedures in process p
lant"
Yoshiyuki Yamashita, Yoichiro Kaneko and Kenji Hoshi, SICE Annual Conference 2004, Sapporo, 4-6 August (2004) - 乽惂栺晅偒旕慄宍僾儘僙僗偺儌僨儖梊應惂屼乿
幁撪椙彨丄嶳壓慞擵丄徏杮斏丄寁應帺摦惂屼妛夛 戞4夞惂屼晹栧戝夛丄 杒嬨廈丄5寧26-28擔 (2004) - 乽塣揮僨乕僞傪梡偄傞挷愡曎屌拝専弌朄乿
嶳壓慞擵丄媣壓杮廏榓丄壛擺妛丄娵揷峗丄 壔妛岺妛夛戞69擭夛丄M114丄戝嶃丄4寧2-4擔 (2004) - “Dimensionality reduction in computer-aided decision making"
Yoshiyuki Yamashita, PSE 2003, Kunming, China, 5-10th January (2004) - 乽儊僞愴棯傪梡偄偨僾儘僙僗僔僗僥儉偺堎忢専弌乿
嶳壓 慞擵, SICE僔僗僥儉丒忣曬晹栧妛弍島墘夛, 搶杒戝丄11寧11-13擔 (2003) - 乽惂栺晅偒旕慄宍僾儘僙僗偺儌僨儖梊應惂屼庤朄偵娭偡傞堦峫嶡乿
幁撪椙彨, 嶳壓 慞擵, 徏杮斏, 壔妛岺妛夛戞36夞廐婫戝夛丄搶杒戝丄9寧12-14擔 (2003) - 乽暔幙偍傛傃僄僱儖僊乕偺曄姺懃偵婎偯偔憰抲孮偺憖嶌庤弴惗惉朄乿
嬥巕梲堦榊, 嶳壓 慞擵, 惎寷巌, 壔妛岺妛夛戞36夞廐婫戝夛丄搶杒戝丄9寧12-14擔 (2003) - 乽僾儘僙僗帪宯楍偵偍偗傞怳摦偺尨場摨掕偵娭偡傞堦峫嶡乿
拞嶳戱, 嶳壓 慞擵, 徏杮斏, 壔妛岺妛夛戞36夞廐婫戝夛丄搶杒戝丄9寧12-14擔 (2003) - “Synthesis of Operating Procedures for Material and Energy Conversions in a Batch Plant"
Yoichiro Kaneko, Yoshiyuki Yamashita and Kenji Hoshi, KES'2003, Oxford, UK, 3-5th September (2003) - 乽暔幙偍傛傃僄僱儖僊乕偺曄姺傪峫椂偟偨僶僢僠僾儔儞僩偺塣揮憖嶌庤弴惗惉庤朄乿
嬥巕梲堦榊, 嶳壓慞擵, 寁應帺摦惂屼妛夛搶杒巟晹戞209夛尋媶廤夛, 敧屗崅愱, 6寧12擔 (2003) - 乽僾儘僙僗僩儗儞僪偺暘夝偲偦偺忬懺娔帇傊偺墳梡乿
嶳壓慞擵, 晲揷捈恖, 寁應帺摦惂屼妛夛戞3夞惂屼晹栧戝夛, 恄屗, 5寧30擔 (2003) - “Decomposition of Time Series by non-Gaussian State Space Model and Its Application to Fault Detection"
Naoto Takeda and Yoshiyuki Yamashita, PSE Asia, Taipei, Taiwan, 4-6th December (2002) - 乽儘僶僗僩側儌僨儖梊應惂屼宯偺愝寁偵娭偡傞堦峫嶡乿
幁撪椙彨, 嶳壓慞擵, 楅栘杛, 戞45夞帺摦惂屼楢崌島墘夛, 搶杒戝, 11寧27擔(2002) - 乽旕僈僂僗宆忬懺嬻娫儌僨儖偵傛傞帪宯楍僨乕僞偺暘夝乿
晲揷捈恖, 嶳壓慞擵, 寁應帺摦惂屼妛夛搶杒巟晹戞205夛尋媶廤夛, 擔戝岺妛晹(孲嶳), 11寧9擔 (2002) - 乽僨乕僞儅僀僯儞僌偲僾儘僙僗偺惂屼丒恌抐傊偺墳梡乿(彽懸島墘)
嶳壓慞擵, 擔杮揝峾嫤夛戞144夞廐婫島墘戝夛, 寁應丒惂屼丒僔僗僥儉岺妛晹夛僔儞億僕僂儉, 戝嶃戝妛悂揷僉儍儞僷僗, 11寧4擔 (2002) - “Fault Detection based on Frequent Clusters"
Yoshiyuki Yamashita, KES'2002, Crema, Italy, 16-18th September (2002) - 乽僶僢僠僾儘僙僗偺偨傔偺僔乕働儞僗帺摦崌惉乿
嶳壓慞擵, 惎寷巌, 寁應帺摦惂屼妛夛戞2夞惂屼晹栧戝夛, OVTA(枊挘), 5寧29擔 (2002) - 乽忬懺慗堏偺桳岦僌儔僼昞尰偵傛傞僶僢僠僾儔儞僩偺憖嶌庤弴惗惉庤朄乿
惎寷巌, 嬥巕梲堦榊, 嶳壓慞擵, 楅栘杛, 壔妛岺妛夛戞67擭夛, 暉壀岺嬈戝妛, 3寧27-29擔 (2002) - 乽廤傔偨僨乕僞傪桳岟偵巊偆偨傔偵乿
嶳壓慞擵, 壔妛岺妛夛搶杒巟晹島廗夛, 搶杒戝妛, 1寧30擔 (2002) - 乽僾儘僙僗僔僗僥儉偵偍偗傞塣揮偲惂屼乿(彽懸島墘)
嶳壓慞擵, 寁應帺摦惂屼妛夛搶杒巟晹尋媶廤夛戞200夞婰擮彽懸島墘夛, 搶杒戝妛, 1寧26擔 (2002) - 乽僶僢僠僾儘僙僗偺僌儔僼昞尰偵婎偯偔憖嶌庤弴惗惉傾儖僑儕僘儉乿
惎寷巌, 嶳壓慞擵, 楅栘杛, SICE僔僗僥儉忣曬晹栧妛弍島墘夛, 媨嶈, 11寧29,30擔 (2001) - 乽僾儔儞僩塣揮憖嶌偺偨傔偺KDDM僣乕儖儃僢僋僗偺帋嶌偲偦偺墳梡乿
朷寧掯恗,嶳壓慞擵, 楅栘杛, 寁應帺摦惂屼妛夛搶杒巟晹戞198夞尋媶廤夛, 擔杮戝妛(孲嶳), 11寧17擔 (2001) - 乽僾儘僙僗嶻嬈偵偍偗傞僨乕僞儅僀僯儞僌偺彨棃乿(彽懸島墘)
嶳壓慞擵, 寁憰僄儞僕僯傾岞奐摙榑夛, 搶戝, 10寧19擔 (2001) - “Automatic Generation of Operating Procedures for Batch Process Plants"
Kenji Hoshi, Kousuke Nagasawa, Yoshiyuki Yamashita and Mutsumi Suzuki, KES2001, Nara, 6-8th September (2001) - “Data Based Approach for Intelligent Process Monitoring" (Plenary Lecture)
Yoshiyuki Yamashita, PSE Asia 2000, Kyoto, 6-8th December (2000) - 乽掕惈儌僨儖傪梡偄偨僾儔儞僩峔憿偺愝寁巟墖僔僗僥儉偵娭偡傞峫嶡乿
惎寷巌丄嶳壓慞擵丄楅栘杛丄寁應帺摦惂屼妛夛搶杒巟晹戞191夞尋媶廤夛丄擔杮戝妛(孲嶳)丄11寧18擔 (2000) - 乽嫵巘側偟暘椶傪慜張棟偵梡偄傞忣曬拪弌庤朄偲偦偺攑塼擱從僾儘僙僗傊偺墳梡乿
懞忋 椣孾, 嶳壓 慞擵, 楅栘 杛, 壔妛岺妛夛戞33夞廐婫戝夛丄惷壀戝妛丄9寧12-14擔 (2000) - 揥朷島墘: 乽僨乕僞偐傜忣曬傊 ---僨乕僞儅僀僯儞僌偺帇揰偐傜---乿
嶳壓 慞擵, 壔妛岺妛夛戞33夞廐婫戝夛丄惷壀戝妛丄9寧12-14擔 (2000) - “Supervised Learning for the Analysis of Process Operational Data"
Yoshiyuki Yamashita, PSE 2000, Keystone, CO, USA, 16-21 July (2000) - 乽旝暘曽掱幃偺堿揑夝朄傪墳梡偟偨儌僨儖梊應惂屼乿
幁撪 椙彨, 擻愳 岾擇榊, 嶳壓 慞擵, 楅栘 杛, 寁應帺摦惂屼妛夛搶杒巟晹尋媶廤夛丄敧屗崅愱丄6寧23擔 (2000) - 乽僶僢僠忲棷搩偺DP偵傛傞On-line嵟揔惂屼乿
怷杮 弫, 嶳壓 慞擵, 楅栘 杛, 壔妛岺妛夛戞65擭夛丄岺妛堾戝妛丄3寧29-31擔 (2000)
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