paper2.json 17.4 KB
Newer Older
Joe TS Dell's avatar
up  
Joe TS Dell committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
[
	{
		"item": {
			"title": "PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED Pedelec",
			"project": "iCity",
			"authors": [
				{
					"firstName": "S.",
					"lastName": "Schneider"
				},
				{
					"firstName": "H.",
					"lastName": "Dastageeri"
				},
				{
					"firstName": "P.",
					"lastName": "Rodriguez"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/schneider2020_1.jpg",
			"keywords": [
				"machine learning",
				" experience sampling",
				" mobile sensors",
				" urban emotions"
			],
			"journal": {
				"volume": "VI-4/W2-20",
				"year": "2020",
				"pages": "149-156"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-149-2020"
		},
		"links": {
			"pdf": "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/149/2020/",
			"url": "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/149/2020/",
			"demo": "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/149/2020/"
		}
	},
	{
		"item": {
			"title": "A METHOD FOR ASSESSING REGIONAL BIOENERGY POTENTIALS BASED ON GIS DATA AND A DYNAMIC YIELD SIMULATION MODEL",
			"project": "EnSys-LE",
			"authors": [
				{
					"firstName": "K.",
					"lastName": "Bao"
				},
				{
					"firstName": "R.",
					"lastName": "Padsala"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				},
				{
					"firstName": "D.",
					"lastName": "Thrän"
				},
				{
					"firstName": "B",
					"lastName": "Schröter"
				}
			],
			"imageLink": "./img/BAO 2020_07.jpg",
			"keywords": [
				"potential analysis",
				" geographical information system (GIS)",
				" bioenergy",
				" AquaCrop"
			],
			"journal": {
				"name": "Energies",
				"volume": "13",
				"year": "2020",
				"pages": "64-88"
			},
			"DOI": "10.3390/en13246488"
		},
		"links": {
			"pdf": " https://doi.org/10.3390/en13246488",
			"url": " https://doi.org/10.3390/en13246488",
			"demo": " https://doi.org/10.3390/en13246488"
		}
	},
	{
		"item": {
			"title": "A CONCEPT OF QUALITY MANAGEMENT OF 3D CITY MODELS SUPPORTING APPLICATION-SPECIFIC REQUIREMENTS",
			"project": "SimStadt, CityDoctor",
			"authors": [
				{
					"firstName": "V.",
					"lastName": "Coors"
				},
				{
					"firstName": "M.",
					"lastName": "Betz"
				},
				{
					"firstName": "E.",
					"lastName": "Duminil"
				}
			],
			"imageLink": "./img/Coors 2020_02.jpg",
			"keywords": [
				"3D City Model",
				" CityGML",
				" Quality Management",
				" Heating demand simulation"
			],
			"journal": {
				"name": "PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science",
				"volume": "88",
				"year": "2020",
				"pages": "3 - 14"
			},
			"DOI": "10.1007/s41064-020-00094-0"
		},
		"links": {
			"pdf": "https://doi.org/10.1007/s41064-020-00094-0",
			"url": "https://doi.org/10.1007/s41064-020-00094-0",
			"demo": "https://doi.org/10.1007/s41064-020-00094-0"
		}
	},
	{
		"item": {
			"title": "A CONTINUOUS, SEMI-AUTOMATED WORKFLOW: FROM 3D CITY MODELS WITH GEOMETRIC OPTIMIZATION AND CFD SIMULATIONS TO VISUALIZATION OF WIND IN AN URBAN ENVIRONMENT",
			"project": "iCity",
			"authors": [
				{
					"firstName": "M.E.",
					"lastName": "Deininger"
				},
				{
					"firstName": "M.v.d.",
					"lastName": "Grün"
				},
				{
					"firstName": "R.",
					"lastName": "Piepereit"
				},
				{
					"firstName": "S.",
					"lastName": "Schneider"
				},
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				},
				{
					"firstName": "U.",
					"lastName": "Voß"
				}
			],
			"imageLink": "./img/Deininger 2020_10.jpg",
			"keywords": [
				"smart city",
				" urban environment",
				" computational fluid dynamics",
				" computational wind engineering",
				" open geospatial consortium",
				" environmental simulation",
				" 3D visualization",
				" web services",
				" automated workflow",
				" CityGML"
			],
			"journal": {
				"name": "ISPRS International Journal of Geo-Information",
				"volume": "9",
				"year": "2020",
				"pages": "657-680"
			},
			"DOI": "10.3390/ijgi9110657"
		},
		"links": {
			"pdf": "https://doi.org/10.3390/ijgi9110657",
			"url": "https://doi.org/10.3390/ijgi9110657",
			"demo": "https://doi.org/10.3390/ijgi9110657"
		}
	},
	{
		"item": {
			"title": "SEASONALITY DEDUCTION PLATFORM: FOR PM10, PM2.5, NO, NO2 AND O3 IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY",
			"authors": [
				{
					"firstName": "S.",
					"lastName": "Harbola"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Harbola 2020_09.jpg",
			"keywords": [
				"interactive platform",
				" agglomerative clustering",
				" cities planning",
				" seasonality",
				" unsupervised classification",
				" dendrogram",
				" pollution parameters",
				" visual analytic",
				" meteorological data",
				" Spearman rank"
			],
			"journal": {
				"name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "VI-4-W2-2020",
				"year": "2020",
				"pages": "71-78"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-71-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-71-2020",
			"url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-71-2020",
			"demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-71-2020"
		}
	},
	{
		"item": {
			"title": "INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API",
			"project": "iCity",
			"authors": [
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "C.",
					"lastName": "Kim"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Santhanavanich 2020_09.jpg",
			"keywords": [
				"SensorThings",
				" COVID-19",
				" Smart Cities",
				" Urban data",
				" Open Geospatial Consortium"
			],
			"journal": {
				"name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "VI-4-W2-2020",
				"year": "2020",
				"pages": "135-141"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-135-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-135-2020",
			"url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-135-2020",
			"demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-135-2020"
		}
	},
	{
		"item": {
			"title": "3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS",
			"project": "iCity",
			"authors": [
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "P.",
					"lastName": "Wuerstle"
				},
				{
					"firstName": "J.",
					"lastName": "Silberer"
				},
				{
					"firstName": "V.",
					"lastName": "Loidl"
				},
				{
					"firstName": "P.",
					"lastName": "Rodrigues"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Wuerstle 2020_09.jpg",
			"keywords": [
				"Safe routing",
				" pgRouting",
				" CityGML",
				" SensorThings API",
				" OpenStreetMap",
				" Open Geospatial Consortium"
			],
			"journal": {
				"name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "VI-4-W2-2020",
				"year": "2020",
				"pages": "143-147"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-143-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-143-2020",
			"url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-143-2020",
			"demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-143-2020"
		}
	},
	{
		"item": {
			"title": "EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS",
			"project": "iCity",
			"authors": [
				{
					"firstName": "S.",
					"lastName": "Schneider"
				},
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "A.",
					"lastName": "Koukofikis"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Schneider 2020_09.jpg",
			"keywords": [
				"Computational Fluid Dynamics (CFD) Simulation",
				" Environmental Simulation",
				" Visualization",
				" Web Service",
				" 3D City Models",
				" CityGML",
				" Open Geospatial Consortium"
			],
			"journal": {
				"name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "VI-4-W2-2020",
				"year": "2020",
				"pages": "157-163"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-157-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-157-2020",
			"url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-157-2020",
			"demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-157-2020"
		}
	},
	{
		"item": {
			"title": "“I KNOW HOW YOU FEEL” – PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED PEDELEC EXPERIENCES IN SMART CITIES",
			"project": "SimStadt, iCity",
			"authors": [
				{
					"firstName": "S.",
					"lastName": "Schneider"
				},
				{
					"firstName": "H.",
					"lastName": "Dastageeri"
				},
				{
					"firstName": "P.",
					"lastName": "Rodrigues"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Dastageeri 2020_09.jpg",
			"keywords": [
				"experience sampling",
				" mobile sensors",
				" urban emotions",
				" machine learning"
			],
			"journal": {
				"name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "VI-4-W2-2020",
				"year": "2020",
				"pages": "149-156"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-149-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-149-2020",
			"url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-149-2020",
			"demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-149-2020"
		}
	},
	{
		"item": {
			"title": "THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION",
			"project": "3ProzentPlus",
			"authors": [
				{
					"firstName": "S.",
					"lastName": "Sini"
				},
				{
					"firstName": "R.",
					"lastName": "Sihombing"
				},
				{
					"firstName": "P.",
					"lastName": "Kabiro"
				},
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Sini 2020_09.jpg",
			"keywords": [
				"3D Geovisualization",
				" CityGML",
				" Crowdsourcing",
				" Energy Simulation"
			],
			"journal": {
				"name": "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "VI-4-W2-2020",
				"year": "2020",
				"pages": "165-172"
			},
			"DOI": "10.5194/isprs-annals-VI-4-W2-2020-165-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-165-2020",
			"url": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-165-2020",
			"demo": "https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-165-2020"
		}
	},
	{
		"item": {
			"title": "SMART VILLAGES – VERNETZUNG VON 3D-GEOINFORMATION UND UMWELTRELEVANTEN SENSORDATEN IM LÄNDLICHEN RAUM",
			"project": "Smart Villages",
			"authors": [
				{
					"firstName": "M.",
					"lastName": "Vögele"
				},
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "P.",
					"lastName": "Würstle"
				},
				{
					"firstName": "G.",
					"lastName": "Graf"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Vögele 2020.jpg",
			"keywords": [
				"Smart Cities",
				" 3D-Webvisualisierung",
				" Geoinformation",
				" Sensordatenvernetzung",
				" CityGML",
				" SensorThings-API"
			],
			"journal": {
				"name": "Gis Science",
				"volume": "33",
				"year": "2020",
				"pages": "47-58"
			}
		},
		"links": {}
	},
	{
		"item": {
			"title": "FRAMEWORK FOR EMULATION AND UNCERTAINTY QUANTIFICATION OF A STOCHASTIC BUILDING PERFORMANCE SIMULATOR",
			"authors": [
				{
					"firstName": "P",
					"lastName": "Wate"
				},
				{
					"firstName": "M",
					"lastName": "Iglesias"
				},
				{
					"firstName": "V",
					"lastName": "Coors"
				},
				{
					"firstName": "D",
					"lastName": "Robinson"
				}
			],
Joe TS Dell's avatar
up    
Joe TS Dell committed
525
			"imageLink": "./img/Wate_2020.jpg",
Joe TS Dell's avatar
up  
Joe TS Dell committed
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
			"keywords": [
				"Gaussian process emulator",
				" Building performance",
				" Stochasticity",
				" Uncertainty quantification and decomposition"
			],
			"journal": {
				"name": "Applied Energy",
				"volume": "258",
				"year": "2020",
				"pages": "113-759"
			},
			"DOI": " 10.1016/j.apenergy.2019.113759"
		},
		"links": {
			"pdf": "https://doi.org/10.1016/j.apenergy.2019.113759",
			"url": "https://doi.org/10.1016/j.apenergy.2019.113759",
			"demo": "https://doi.org/10.1016/j.apenergy.2019.113759"
		}
	},
	{
		"item": {
			"title": "VISUAL ANALYTICS WEB PLATFORM FOR DETECTING HIGH WIND ENERGY POTENTIAL IN URBAN ENVIRONMENTS BY EMPLOYING OGC STANDARDS",
			"project": "Ordnance Survey GB,  1Spatial",
			"authors": [
				{
					"firstName": "A.",
					"lastName": "Koukofikis"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Koukofikis 2020_09.jpg",
			"keywords": [
				"Visual analytics",
				" CFD",
				" Wind energy",
				" OGC",
				" 3DPS",
				" Web Visualization",
				" WebGL"
			],
			"journal": {
				"name": "The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
				"volume": "XLIV-4-W1-2020",
				"year": "2020",
				"pages": "71-74"
			},
			"DOI": "10.5194/isprs-archives-XLIV-4-W1-2020-71-2020"
		},
		"links": {
			"pdf": "https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020",
			"url": "https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020",
			"demo": "https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020"
		}
	},
	{
		"item": {
			"title": "GIS-BASED ASSESSMENT OF REGIONAL BIOMASS POTENTIALS AT THE EXAMPLE OF TWO COUNTIES IN GERMANY",
			"authors": [
				{
					"firstName": "K.",
					"lastName": "Bao"
				},
				{
					"firstName": "R.",
					"lastName": "Padsala"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				},
				{
					"firstName": "D.",
					"lastName": "Thrän"
				},
				{
					"firstName": "B.",
					"lastName": "Schröter"
				}
			],
			"imageLink": "./img/Padsala 2020_07.jpg",
			"keywords": [
				"biofuel",
				" geographical information system (GIS)",
				" potential"
			],
			"journal": {
				"name": "Sustainable Resources for Decarbonising the Economy",
				"year": "2020",
				"pages": "77-85"
			},
			"DOI": "10.5071/28thEUBCE2020-1CV.4.15"
		},
		"links": {
			"pdf": "https://doi.org/10.5071/28thEUBCE2020-1CV.4.15",
			"url": "https://doi.org/10.5071/28thEUBCE2020-1CV.4.15",
			"demo": "https://doi.org/10.5071/28thEUBCE2020-1CV.4.15"
		}
	},
	{
		"item": {
			"title": "THE CONCEPTION OF AN URBAN ENERGY DASHBOARD USING 3D CITY MODELS",
			"project": "IN-SOURCE, Smart Villages",
			"authors": [
				{
					"firstName": "P.",
					"lastName": "Würstle"
				},
				{
					"firstName": "T.",
					"lastName": "Santhanavanich"
				},
				{
					"firstName": "R.",
					"lastName": "Padsala"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Würstle 2020_06.jpg",
			"keywords": [
				"Urban Energy Dashboard",
				" 3D City Models",
				" Energy Data Visualization",
				" OGC Standards"
			],
			"journal": {
				"year": "2020",
				"pages": "523-527"
			},
			"DOI": "10.1145/3396851.3402650"
		},
		"links": {
			"pdf": "https://doi.org/10.1145/3396851.3402650",
			"url": "https://doi.org/10.1145/3396851.3402650",
			"demo": "https://doi.org/10.1145/3396851.3402650"
		}
	},
	{
		"item": {
			"title": "FROM URBAN DESIGN TO ENERGY SIMULATION - A DATA CONVERSION PROCESS BRIDGING THE GAP BETWEEN TWO DOMAINS",
			"project": "IN-SOURCE",
			"authors": [
				{
					"firstName": "R.",
					"lastName": "Padsala"
				},
				{
					"firstName": "T.",
					"lastName": "Fink"
				},
				{
					"firstName": "J.",
					"lastName": "Peters-Andres"
				},
				{
					"firstName": "E.",
					"lastName": "Gebetsroither-Geringer"
				},
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/Padsala 2020_09.jpg",
			"keywords": [
				"Data Interoperability",
				" Geometric Modelling",
				" Urban Design",
				" Energy Simulation",
				" CityGML"
			],
			"journal": {
				"year": "2020",
				"pages": "365-375"
			}
		},
		"links": {
			"pdf": "https://archive.corp.at/cdrom2020/papers2020/CORP2020_54.pdf",
			"url": "https://archive.corp.at/cdrom2020/papers2020/CORP2020_54.pdf",
			"demo": "https://archive.corp.at/cdrom2020/papers2020/CORP2020_54.pdf"
		}
	},
	{
		"item": {
			"title": "DIGITIZATION OF VIRTUAL CITY MODELS: CITYGML AND ENERGY ADE",
			"project": "DIM4Energy",
			"authors": [
				{
					"firstName": "V.",
					"lastName": "Coors"
				}
			],
			"imageLink": "./img/V. Coors 2020_02.jpg",
			"journal": {
				"name": "Digital energy planning & optimization of Urban Regions",
				"year": "2020",
				"pages": "32-33"
			},
            "keywords": [
				"..."
			]
		},
		"links": {
			"pdf": "https://www.ait.ac.at/fileadmin//mc/energy/Business_Cases/7_Smart_Resilient_Cities/DIM4Energy_Leitfaden_Web.pdf",
			"url": "https://www.ait.ac.at/fileadmin//mc/energy/Business_Cases/7_Smart_Resilient_Cities/DIM4Energy_Leitfaden_Web.pdf",
			"demo": "https://www.ait.ac.at/fileadmin//mc/energy/Business_Cases/7_Smart_Resilient_Cities/DIM4Energy_Leitfaden_Web.pdf"
		}
	}
]